We are a small and specialized team that develops data products using novel data science methods and visualization tools with the aim to support decision makers with data-driven insights. On that path, we are looking for a highly motivated intern to support our growth.
Your work:
You will support the development of a database capturing multiple dimensions of economic and social activity. This task involves accessing APIs, web scraping, but also extracting information from Excel and pdf files.
Transformation of datasets in R or Python
Development of apps in Heroku
You will support the development of data products using Business Intelligence software (e.g. Qlik Sense, Power BI, Tableau)
Creative development of new measures and variables
Your profile:
Currently pursuing or recently completed a university degree preferably in Statistics, Computer Science, Mathematics, Physics, Economics or any other subject related to data science
A strong information technology background is highly appreciated
Good knowledge of R and/or Python
Experience with database structures would be an asset
Experience with Business Intelligence tools or willingness to learn it
Fluent in English; German and/or French would be a plus
You are dedicated, creative, structured and a self-starter with a strong hands-on mentality
Passion for data!
What’s in it for you:
You will be part of a dynamic, fast-growing startup with a small and ambitious team of talented people
A flexible and creative work environment
The ability to work on a wide variety of data science solutions for a range of clients
Experience in a startup
The potential for a full-time contract
Starting date: April/May 2019 or upon agreement
Duration: 6 months or upon agreement
18/02/2019
Internship
We are a small and specialized team that develops data products using novel data science methods and visualization tools with the aim to support decision makers with data-driven insights. On that path, we are looking for a highly motivated intern to support our growth.
Your work:
You will support the development of a database capturing multiple dimensions of economic and social activity. This task involves accessing APIs, web scraping, but also extracting information from Excel and pdf files.
Transformation of datasets in R or Python
Development of apps in Heroku
You will support the development of data products using Business Intelligence software (e.g. Qlik Sense, Power BI, Tableau)
Creative development of new measures and variables
Your profile:
Currently pursuing or recently completed a university degree preferably in Statistics, Computer Science, Mathematics, Physics, Economics or any other subject related to data science
A strong information technology background is highly appreciated
Good knowledge of R and/or Python
Experience with database structures would be an asset
Experience with Business Intelligence tools or willingness to learn it
Fluent in English; German and/or French would be a plus
You are dedicated, creative, structured and a self-starter with a strong hands-on mentality
Passion for data!
What’s in it for you:
You will be part of a dynamic, fast-growing startup with a small and ambitious team of talented people
A flexible and creative work environment
The ability to work on a wide variety of data science solutions for a range of clients
Experience in a startup
The potential for a full-time contract
Starting date: April/May 2019 or upon agreement
Duration: 6 months or upon agreement
EY is a global leader in assurance, tax, transaction and advisory services. The insights and quality services we deliver help build trust and confidence in the capital markets. We develop outstanding leaders who team to deliver on our promises to all of our stakeholders. In so doing, we play a critical role in building a better working world for our people, for our clients and for our communities. Visit us at http://www.ey.com/CH/en/Careers
The finance function is currently undergoing a significant transformation to a manager of financial data that provides insightful information to the entire business. Our dedicated team of the Financial Accounting Advisory Services (FAAS) practice supports our clients on this transformation by advising on the implementation of a broad range of new digital technologies such as process mining, robotics process automation or advanced analytics. For our fast growing team we are looking for a Senior Consultant, based in our Zurich office, motivated to develop and implement digital solutions in a fast moving environment.
Tasks that you promote
Support in developing our service portfolio and executing the go-to-market activities
Taking a project owner role and link team leadership and the data scientists
Be responsible for delivering digital transformation FAAS engagements and for fulfilling a PMO role
Lead small teams of Consultants in internal and external projects with a holistic approach
Working with an agile project management approach like scrum and design thinking
Ensure work is delivered in a timely manner and in compliance with regulatory requirements
Recognize the client’s ecosystem to identify his needs
Work with other service lines and subject matter experts in providing an integrated service delivery across functions in an international team to meet the clients’ high expectations
Learn on-the-job and share your ever growing knowledge with the team and within the network
Your profile to succeed together
Experience and interest in new digital solutions (such as Robotics, Process Mining, Data Analytics and Machine Learning) and the finance transformation, incl. ability to identify and communicate relevant trends and developments
Bachelor or Master degree (preferred in Accounting/Finance or Business Information Technology)
3 to 5 years working experience at an international consulting organization or in a software company.
Experience in project management and the PMO role with agile approaches like scrum and design thinking
Proactive, flexible and team-oriented from concept and design through to implementation of projects. Intellectual curiosity and willingness to go “the extra mile”
Basic SAP and programming language knowledge
Ability to build your relevant internal and external networks in a fast-paced and international environment investing in sustainable relationships
English is a prerequisite, German and French are a plus
More opportunities for your development
Do you have challenging plans? Stick to them and realize your goals with us! Design your career with EY in a culture that promotes diversity and education. In an environment that constantly opens new doors through knowledge sharing, flexibility and recognition. We offer you to join our highly motivated team of advisory professionals. You will be working and learning in a highly dynamic and cross-functional team - being able to boost your learning curve through the combination of intensive team work, challenging client projects and being part of the network of one of the world’s leading professional services firms.
We are looking forward to receiving your application
Do the next step and apply for this position online. Ref No: SWI000IM
11/02/2019
Full time
EY is a global leader in assurance, tax, transaction and advisory services. The insights and quality services we deliver help build trust and confidence in the capital markets. We develop outstanding leaders who team to deliver on our promises to all of our stakeholders. In so doing, we play a critical role in building a better working world for our people, for our clients and for our communities. Visit us at http://www.ey.com/CH/en/Careers
The finance function is currently undergoing a significant transformation to a manager of financial data that provides insightful information to the entire business. Our dedicated team of the Financial Accounting Advisory Services (FAAS) practice supports our clients on this transformation by advising on the implementation of a broad range of new digital technologies such as process mining, robotics process automation or advanced analytics. For our fast growing team we are looking for a Senior Consultant, based in our Zurich office, motivated to develop and implement digital solutions in a fast moving environment.
Tasks that you promote
Support in developing our service portfolio and executing the go-to-market activities
Taking a project owner role and link team leadership and the data scientists
Be responsible for delivering digital transformation FAAS engagements and for fulfilling a PMO role
Lead small teams of Consultants in internal and external projects with a holistic approach
Working with an agile project management approach like scrum and design thinking
Ensure work is delivered in a timely manner and in compliance with regulatory requirements
Recognize the client’s ecosystem to identify his needs
Work with other service lines and subject matter experts in providing an integrated service delivery across functions in an international team to meet the clients’ high expectations
Learn on-the-job and share your ever growing knowledge with the team and within the network
Your profile to succeed together
Experience and interest in new digital solutions (such as Robotics, Process Mining, Data Analytics and Machine Learning) and the finance transformation, incl. ability to identify and communicate relevant trends and developments
Bachelor or Master degree (preferred in Accounting/Finance or Business Information Technology)
3 to 5 years working experience at an international consulting organization or in a software company.
Experience in project management and the PMO role with agile approaches like scrum and design thinking
Proactive, flexible and team-oriented from concept and design through to implementation of projects. Intellectual curiosity and willingness to go “the extra mile”
Basic SAP and programming language knowledge
Ability to build your relevant internal and external networks in a fast-paced and international environment investing in sustainable relationships
English is a prerequisite, German and French are a plus
More opportunities for your development
Do you have challenging plans? Stick to them and realize your goals with us! Design your career with EY in a culture that promotes diversity and education. In an environment that constantly opens new doors through knowledge sharing, flexibility and recognition. We offer you to join our highly motivated team of advisory professionals. You will be working and learning in a highly dynamic and cross-functional team - being able to boost your learning curve through the combination of intensive team work, challenging client projects and being part of the network of one of the world’s leading professional services firms.
We are looking forward to receiving your application
Do the next step and apply for this position online. Ref No: SWI000IM
Ihre tägliche Anforderung
Datenanalyse, Datenextrahierung, Datenvisualisierung sowie die Datenlieferung von (Offline-) Services nach gesetzlichen Vorgaben
Selbständige Qualitätchecks vor der Datenlieferung und Kommunikation an Kunde, Fachbereich und Management
Begleitung übergreifender Projekte unter Bezug des Advanced Analytics Bereichs mit Scrum als Entwicklungsmethode
Durchführen von Machbarkeitsstudien, Tests und Pilotprojekten
Enge Zusammenarbeit mit Fachbereichen, externen Partnern und Lieferanten
Als Data Analyst verfügen Sie über folgende Qualifikationen und Erfahrungen :
Abgeschlossenes technisches Studium (ETH, TU, FH, TS) in (Wirtschafts-)Informatik oder Naturwissenschaften mit einem Flair für operative Prozesse
Mehrjährige Berufserfahrung in vergleichbarer Funktion
Sehr gute Kenntnisse in MS Office Applikationen, Access, SQL-Server Management Studio, VBA, Python, R, sowie Erfahrung in FastStats von Vorteil
Ausgeprägtes analytisches und konzeptionelles Denkvermögen
Teamorientierung mit ausgeprägter Kunden- und Dienstleistungsorientierung
Strukturierte und lösungsorientierte Arbeitsweise mit hohen Qualitätsansprüchen
Sehr gute Deutsch- und Englischkenntnisse
Es erwartet Sie eine interessante, verantwortungsvolle und selbständige Herausforderung in einem internationalen, faszinierenden Umfeld und einem dynamischen Team. Eine gründliche Einführung in Ihre Aufgabe ist selbstverständlich. Wir bieten Ihnen fortschrittliche Arbeitsbedingungen, eine moderne Arbeitsumgebung und gute Sozialleistungen (5 Wochen Ferien, kostenfreier Garagenplatz, Personalrestaurant, Gleitzeit, etc.).
Interessiert? Wir freuen uns auf Ihre Bewerbung!
09/02/2019
Full time
Ihre tägliche Anforderung
Datenanalyse, Datenextrahierung, Datenvisualisierung sowie die Datenlieferung von (Offline-) Services nach gesetzlichen Vorgaben
Selbständige Qualitätchecks vor der Datenlieferung und Kommunikation an Kunde, Fachbereich und Management
Begleitung übergreifender Projekte unter Bezug des Advanced Analytics Bereichs mit Scrum als Entwicklungsmethode
Durchführen von Machbarkeitsstudien, Tests und Pilotprojekten
Enge Zusammenarbeit mit Fachbereichen, externen Partnern und Lieferanten
Als Data Analyst verfügen Sie über folgende Qualifikationen und Erfahrungen :
Abgeschlossenes technisches Studium (ETH, TU, FH, TS) in (Wirtschafts-)Informatik oder Naturwissenschaften mit einem Flair für operative Prozesse
Mehrjährige Berufserfahrung in vergleichbarer Funktion
Sehr gute Kenntnisse in MS Office Applikationen, Access, SQL-Server Management Studio, VBA, Python, R, sowie Erfahrung in FastStats von Vorteil
Ausgeprägtes analytisches und konzeptionelles Denkvermögen
Teamorientierung mit ausgeprägter Kunden- und Dienstleistungsorientierung
Strukturierte und lösungsorientierte Arbeitsweise mit hohen Qualitätsansprüchen
Sehr gute Deutsch- und Englischkenntnisse
Es erwartet Sie eine interessante, verantwortungsvolle und selbständige Herausforderung in einem internationalen, faszinierenden Umfeld und einem dynamischen Team. Eine gründliche Einführung in Ihre Aufgabe ist selbstverständlich. Wir bieten Ihnen fortschrittliche Arbeitsbedingungen, eine moderne Arbeitsumgebung und gute Sozialleistungen (5 Wochen Ferien, kostenfreier Garagenplatz, Personalrestaurant, Gleitzeit, etc.).
Interessiert? Wir freuen uns auf Ihre Bewerbung!
EY is a global leader in assurance, tax, transaction and advisory services. The insights and quality services we deliver help build trust and confidence in the capital markets and in economies the world over. We develop outstanding leaders who team to deliver on our promises to all of our stakeholders. In so doing, we play a critical role in building a better working world for our people, for our clients and for our communities. Visit us at http://www.ey.com/CH/en/Careers
The timely and relevant financial information provided by EY's Assurance teams is essential to global economic health and sustainable growth. Our work helps to restore and maintain public confidence in the world’s capital markets and ensure that the fundamentals are in place for businesses to move forward. Start your career in a practice rich in opportunity - the scale and scope of our clients’ businesses add to the wealth of experience that a career in Assurance Innovation & Digital at EY offers you.
Tasks that you promote
You will be involved in the Analytics Data Delivery Team of our Assurance practice supporting our Assurance teams all over Switzerland
Typical activities will include the following:
Helping to create and deliver key engagement analytic solutions to Assurance teams
Working with a robust set of tools and infrastructure to sanitize, store and manipulate data (following leading standards for data security and privacy)
Use a problem solving approach to overcome unexpected issues - both technical and operational Communication with Assurance teams and clients all over Switzerland
You will work in a dynamic, international and multicultural environment
You will benefit from an auditing, accounting and data science specific learning curriculum and intensive on the job training
Your profile to succeed together
Profound experience with any of the following software: MS Office and MS SQL Server
Experience in data analysis and basic experience with data visualization techniques and software such as Spotfire, Tableau, Power BI or others is a plus
Knowledgeable in ETL tools and software, such as Alteryx or Pentaho is a plus
Knowledgeable about ERP systems, such as SAP, Avaloq, Oracle, Microsoft Dynamics and Abacus
Project Management skills
Ability to work under pressure and to deadlines
Experiences in accounting or auditing is a big plus
Strong analytical and solution-oriented mindset
Good communication and interpersonal skills
Languages: English and German/French
More opportunities for your development
Do you have challenging plans? Stick to them and realize your goals with us! Design your career with EY in a culture that promotes diversity and education. In an environment that constantly opens new doors through knowledge sharing, flexibility and recognition. We offer you to join our highly motivated team of advisory professionals. You will be working and learning in a highly dynamic and cross-functional team - being able to boost your learning curve through the combination of intensive team work, challenging client projects and being part of the network of one of the world's leading professional services firms.
Barthélémy Balaÿ is looking forward to receiving your application
Take the next step and apply for this position online. For further information please contact our recruitment team ( Recruitment.switzerland@ey.com / +41 58 286 33 66).
Only direct applications are considered.
07/02/2019
Full time
EY is a global leader in assurance, tax, transaction and advisory services. The insights and quality services we deliver help build trust and confidence in the capital markets and in economies the world over. We develop outstanding leaders who team to deliver on our promises to all of our stakeholders. In so doing, we play a critical role in building a better working world for our people, for our clients and for our communities. Visit us at http://www.ey.com/CH/en/Careers
The timely and relevant financial information provided by EY's Assurance teams is essential to global economic health and sustainable growth. Our work helps to restore and maintain public confidence in the world’s capital markets and ensure that the fundamentals are in place for businesses to move forward. Start your career in a practice rich in opportunity - the scale and scope of our clients’ businesses add to the wealth of experience that a career in Assurance Innovation & Digital at EY offers you.
Tasks that you promote
You will be involved in the Analytics Data Delivery Team of our Assurance practice supporting our Assurance teams all over Switzerland
Typical activities will include the following:
Helping to create and deliver key engagement analytic solutions to Assurance teams
Working with a robust set of tools and infrastructure to sanitize, store and manipulate data (following leading standards for data security and privacy)
Use a problem solving approach to overcome unexpected issues - both technical and operational Communication with Assurance teams and clients all over Switzerland
You will work in a dynamic, international and multicultural environment
You will benefit from an auditing, accounting and data science specific learning curriculum and intensive on the job training
Your profile to succeed together
Profound experience with any of the following software: MS Office and MS SQL Server
Experience in data analysis and basic experience with data visualization techniques and software such as Spotfire, Tableau, Power BI or others is a plus
Knowledgeable in ETL tools and software, such as Alteryx or Pentaho is a plus
Knowledgeable about ERP systems, such as SAP, Avaloq, Oracle, Microsoft Dynamics and Abacus
Project Management skills
Ability to work under pressure and to deadlines
Experiences in accounting or auditing is a big plus
Strong analytical and solution-oriented mindset
Good communication and interpersonal skills
Languages: English and German/French
More opportunities for your development
Do you have challenging plans? Stick to them and realize your goals with us! Design your career with EY in a culture that promotes diversity and education. In an environment that constantly opens new doors through knowledge sharing, flexibility and recognition. We offer you to join our highly motivated team of advisory professionals. You will be working and learning in a highly dynamic and cross-functional team - being able to boost your learning curve through the combination of intensive team work, challenging client projects and being part of the network of one of the world's leading professional services firms.
Barthélémy Balaÿ is looking forward to receiving your application
Take the next step and apply for this position online. For further information please contact our recruitment team ( Recruitment.switzerland@ey.com / +41 58 286 33 66).
Only direct applications are considered.
EY is a global leader in assurance, tax, transaction and advisory services. The insights and quality services we deliver help build trust and confidence in the capital markets and in economies all over the world. We develop outstanding leaders who team to deliver on our promises to all of our stakeholders. In doing so, we play a critical role in building a better working world for our people, for our clients and for our communities. Visit us at http://www.ey.com/CH/en/Careers
The rapidly growing Innovation & Digital Center Switzerland is currently seeking the right candidate for an excellent career opportunity in the Data Scientist team.
The team is a global group of technical consultants that runs the full life cycle of data management from the early stages of data scoping and capture, to its management, analysis and reporting. The nature of our work typically requires working with large datasets from disparate data sources to support process analytics and mining, fraud investigations and disputes for our clients covering a range of industries. This is achieved by combining deep business process knowledge with analytics techniques such as investigative data linking, social network analysis, statistics, artificial intelligence, machine learning and predictive modelling.
Tasks that you promote
Meeting with a prospective client to understand their business problems
Analyzing massive data sets
Coaching young motivated team member to reach their potential
Building a project prototype
Leading teams and reviewing work packages of junior professionals (quality control)
Creatively extracting data from various client systems
Preparing dashboards or data visualizations
You bring in your SAP skills set
Proven experience in SAP ECC 6.0, S4/Hana or GRC, in one or more of the following areas: Procure to Pay (PTP), Order to Cash (OTC), Human Resourcing (HR), Financial Statement Close Process (FSCP), Access Control (AC), Process Control (PC), SAP Basis (BC), Access and/or Change Management (BC)
SAP knowledge includes data structure or/and customizing
You have hands-on analysis experience
Firsthand experience in data analysis, manipulation or visualization with one of the following software: SQL Server, SAS, IBM SPSS, Hadoop, Tableau, Qlik, Spotfire
Experience in utilizing and deploying ETL software (e.g. SSIS, CloverETL, Talend, SAP Data Services)
Excellent relational SQL database skills (Open SQL, PL-SQL or T-SQL)
Demonstrate understanding in at least one programming language such as ABAP, R, Python, Java, C++ or C#
Your profile to succeed together
Data analysis skills with strengths in drilling into underlying databases for discovery and identifying opportunities and trends and translating these into understandable and meaningful business outputs
Show ability to translate findings into clear insights and then communicate verbally and through compelling written documents
Have strong critical thinking skills, demonstrating the ability to see the "big picture" while also diving into the details where necessary
Degree/Diploma in Information Engineering, Computer Science or other related field
4-6 years of work experience in a similar field
More opportunities for your development
Do you have challenging plans? Stick to them and realize your goals with us! Design your career with EY in a culture that promotes diversity and education. In an environment that constantly opens new doors through knowledge sharing, flexibility and recognition. We offer you to join our highly motivated team of advisory professionals. You will be working and learning in a highly dynamic and cross-functional team - being able to boost your learning curve through the combination of intensive teamwork, challenging client projects and being part of the network of one of the world’s leading professional services firms.
Jona Fahrländer is looking forward to receiving your application
Do the next step and apply for this position online. Ref No: ZUR00148. For further information please contact our recruitment team (Recruitment.switzerland@ey.com / +41 58 286 33 66).
Only direct applications are considered.
07/02/2019
Full time
EY is a global leader in assurance, tax, transaction and advisory services. The insights and quality services we deliver help build trust and confidence in the capital markets and in economies all over the world. We develop outstanding leaders who team to deliver on our promises to all of our stakeholders. In doing so, we play a critical role in building a better working world for our people, for our clients and for our communities. Visit us at http://www.ey.com/CH/en/Careers
The rapidly growing Innovation & Digital Center Switzerland is currently seeking the right candidate for an excellent career opportunity in the Data Scientist team.
The team is a global group of technical consultants that runs the full life cycle of data management from the early stages of data scoping and capture, to its management, analysis and reporting. The nature of our work typically requires working with large datasets from disparate data sources to support process analytics and mining, fraud investigations and disputes for our clients covering a range of industries. This is achieved by combining deep business process knowledge with analytics techniques such as investigative data linking, social network analysis, statistics, artificial intelligence, machine learning and predictive modelling.
Tasks that you promote
Meeting with a prospective client to understand their business problems
Analyzing massive data sets
Coaching young motivated team member to reach their potential
Building a project prototype
Leading teams and reviewing work packages of junior professionals (quality control)
Creatively extracting data from various client systems
Preparing dashboards or data visualizations
You bring in your SAP skills set
Proven experience in SAP ECC 6.0, S4/Hana or GRC, in one or more of the following areas: Procure to Pay (PTP), Order to Cash (OTC), Human Resourcing (HR), Financial Statement Close Process (FSCP), Access Control (AC), Process Control (PC), SAP Basis (BC), Access and/or Change Management (BC)
SAP knowledge includes data structure or/and customizing
You have hands-on analysis experience
Firsthand experience in data analysis, manipulation or visualization with one of the following software: SQL Server, SAS, IBM SPSS, Hadoop, Tableau, Qlik, Spotfire
Experience in utilizing and deploying ETL software (e.g. SSIS, CloverETL, Talend, SAP Data Services)
Excellent relational SQL database skills (Open SQL, PL-SQL or T-SQL)
Demonstrate understanding in at least one programming language such as ABAP, R, Python, Java, C++ or C#
Your profile to succeed together
Data analysis skills with strengths in drilling into underlying databases for discovery and identifying opportunities and trends and translating these into understandable and meaningful business outputs
Show ability to translate findings into clear insights and then communicate verbally and through compelling written documents
Have strong critical thinking skills, demonstrating the ability to see the "big picture" while also diving into the details where necessary
Degree/Diploma in Information Engineering, Computer Science or other related field
4-6 years of work experience in a similar field
More opportunities for your development
Do you have challenging plans? Stick to them and realize your goals with us! Design your career with EY in a culture that promotes diversity and education. In an environment that constantly opens new doors through knowledge sharing, flexibility and recognition. We offer you to join our highly motivated team of advisory professionals. You will be working and learning in a highly dynamic and cross-functional team - being able to boost your learning curve through the combination of intensive teamwork, challenging client projects and being part of the network of one of the world’s leading professional services firms.
Jona Fahrländer is looking forward to receiving your application
Do the next step and apply for this position online. Ref No: ZUR00148. For further information please contact our recruitment team (Recruitment.switzerland@ey.com / +41 58 286 33 66).
Only direct applications are considered.
EY is a global leader in assurance, tax, transaction and advisory services. The insights and quality services we deliver help build trust and confidence in the capital markets and in economies the world over. We develop outstanding leaders who team to deliver on our promises to all of our stakeholders. In so doing, we play a critical role in building a better working world for our people, for our clients and for our communities. Visit us at http://www.ey.com/CH/en/Careers
Our professionals within Assurance practice in Zurich develop specifically tailored audits in order to build trust and to ensure clarity, transparency and continuity. Start your career today by joining us in the versatile world of the audit.
The rapidly growing Forensics department is currently seeking the right candidate for an excellent career opportunity in the Forensic Data Analytics (“FDA”) team. This team represents a critical component to EY’s Forensics growth strategy and is where much of the innovative early thinking takes place.
The FDA team is a global group of technical specialists that practice the full life cycle of data management from the early stages of data scoping and capture, to its management, analysis and reporting. The nature of our work typically requires working with large datasets from disparate data sources to support fraud investigations and disputes for our clients covering a range of industries. This is achieved by combining deep forensic investigation knowledge with advanced data analytics techniques such as investigative data linking, social network analysis, statistics, artificial intelligence, machine learning and predictive modelling.
You will have a unique, career changing opportunity to play a key role in the growth and strategy of the FDA group.
Tasks that you promote
Working on client engagement teams in carrying out both reactive and proactive data analysis of large volume of structured data involving a wide range of database management systems and financial platforms
Working with clients, fraud investigators, internal and external auditors, lawyers and regulatory authorities in sensitive and sometimes adversarial situations
Working in our specialist forensic technology data analytics labs and onsite to help clients leverage knowledge from their data through the application of advanced analytics
Your profile to succeed together
Degree (Bachelor or Master) in Computer Science, Applied Mathematics or Economics, or related fields
3-5 years of practical experience working as a Data Scientist and if possible with client facing experience
Knowledge of data mining, machine learning and predictive analytics as well as extensive experience in data analysis and manipulation with any of the following software: SQL Server, SAS, IBM SPSS
Understanding of at least one scripting language such as Python, Java Script; or programming languages such as SQL, Java, C++, C#, R
Experience in extracting, analyzing, and processing large volumes of data and experience with data visualization techniques and software packages like Tableau, Spotfire or IBM i2 Analyst
Practical or theoretical knowledge/experience in finances or life science and basic knowledge of accounting principles are a big advantage
Excellent problem solving skills, strong financial, analytical, technical, and interpersonal skills as well as excellent written and verbal communication skills are requested
More opportunities for your development
Dou you have challenging plans? Stick to them and realize your goals with us! Design your career with EY in a culture that promotes diversity and education. In an environment that constantly opens new doors through knowledge sharing, flexibility and recognition. We offer you to join our highly motivated team of advisory professionals. You will be working and learning in a highly dynamic and cross-functional team - being able to boost your learning curve through the combination of intensive team work, challenging client projects and being part of the network of one of the world’s leading professional services firms
The Recruiting Team is looking forward to receiving your application
Do the next step and apply for this position online. Ref No: ZUR001B6. For further information please contact our recruitment team ( Recruitment.switzerland@ey.com / +41 58 286 33 66).
07/02/2019
Full time
EY is a global leader in assurance, tax, transaction and advisory services. The insights and quality services we deliver help build trust and confidence in the capital markets and in economies the world over. We develop outstanding leaders who team to deliver on our promises to all of our stakeholders. In so doing, we play a critical role in building a better working world for our people, for our clients and for our communities. Visit us at http://www.ey.com/CH/en/Careers
Our professionals within Assurance practice in Zurich develop specifically tailored audits in order to build trust and to ensure clarity, transparency and continuity. Start your career today by joining us in the versatile world of the audit.
The rapidly growing Forensics department is currently seeking the right candidate for an excellent career opportunity in the Forensic Data Analytics (“FDA”) team. This team represents a critical component to EY’s Forensics growth strategy and is where much of the innovative early thinking takes place.
The FDA team is a global group of technical specialists that practice the full life cycle of data management from the early stages of data scoping and capture, to its management, analysis and reporting. The nature of our work typically requires working with large datasets from disparate data sources to support fraud investigations and disputes for our clients covering a range of industries. This is achieved by combining deep forensic investigation knowledge with advanced data analytics techniques such as investigative data linking, social network analysis, statistics, artificial intelligence, machine learning and predictive modelling.
You will have a unique, career changing opportunity to play a key role in the growth and strategy of the FDA group.
Tasks that you promote
Working on client engagement teams in carrying out both reactive and proactive data analysis of large volume of structured data involving a wide range of database management systems and financial platforms
Working with clients, fraud investigators, internal and external auditors, lawyers and regulatory authorities in sensitive and sometimes adversarial situations
Working in our specialist forensic technology data analytics labs and onsite to help clients leverage knowledge from their data through the application of advanced analytics
Your profile to succeed together
Degree (Bachelor or Master) in Computer Science, Applied Mathematics or Economics, or related fields
3-5 years of practical experience working as a Data Scientist and if possible with client facing experience
Knowledge of data mining, machine learning and predictive analytics as well as extensive experience in data analysis and manipulation with any of the following software: SQL Server, SAS, IBM SPSS
Understanding of at least one scripting language such as Python, Java Script; or programming languages such as SQL, Java, C++, C#, R
Experience in extracting, analyzing, and processing large volumes of data and experience with data visualization techniques and software packages like Tableau, Spotfire or IBM i2 Analyst
Practical or theoretical knowledge/experience in finances or life science and basic knowledge of accounting principles are a big advantage
Excellent problem solving skills, strong financial, analytical, technical, and interpersonal skills as well as excellent written and verbal communication skills are requested
More opportunities for your development
Dou you have challenging plans? Stick to them and realize your goals with us! Design your career with EY in a culture that promotes diversity and education. In an environment that constantly opens new doors through knowledge sharing, flexibility and recognition. We offer you to join our highly motivated team of advisory professionals. You will be working and learning in a highly dynamic and cross-functional team - being able to boost your learning curve through the combination of intensive team work, challenging client projects and being part of the network of one of the world’s leading professional services firms
The Recruiting Team is looking forward to receiving your application
Do the next step and apply for this position online. Ref No: ZUR001B6. For further information please contact our recruitment team ( Recruitment.switzerland@ey.com / +41 58 286 33 66).
Wir sind die führende Dienstleisterin in der Schweiz für Daten rund um das Tier und den Pflanzenbau. Zur Erweiterung unseres Teams im Geschäftsfeld Daten suchen wir einen erfahrenen, talentierten und vielseitigen
Data Scientist 80%-100%
Deine Herausforderung: Du bist mit Informatik, Datenbanken, strukturierten wie unstrukturierten Daten sowie komplexen Schätzverfahren vertraut. Du hast Erfahrung in Datenverarbeitung, -analyse und -visualisierung mit R (dplyr, data.table, ggplot2, e1071, caret, uam.) und/oder Python (pandas, scikit-learn, matplotlib, numPy, uam.). Du kennst dich aus mit MS-SQL und gGIS. Du hast bereits mit grossen Datensätzen zu tun gehabt. Verfügst du allenfalls auch über Erfahrung mit biologischen und epidemiologischen Daten? Sind dir gesunde Tiere und sichere Lebensmittel ein Anliegen? Du möchtest Wirkung erzielen und bist motiviert deine Kompetenzen in den Aufbau eines Geschäftsfeldes einzubringen. Deine Motivation sich mit vielen neuen Fragestellungen auseinanderzusetzen, profunden Kenntnisse, Kreativität und Engagement tragen massgeblich zu unserem Erfolg bei. Du verfügst über einen Hochschulabschluss mit Master oder gar Promotion und hast einen ausgewiesenen Track Record.
Dein Benefit: Eine fordernde, kreative R&D Aufgabe in einer erfolgreichen und bedeutenden Schweizer Unternehmung. Die Chance dich in der Entwicklung neuer Datenprodukte und Services, zu Gunsten der Wertschöpfungsketten tierische Landwirtschaft und Heimtiere zu engagieren. Ein dynamisches, durch Innovation geprägtes Umfeld, in welchem du deine Stärken sowie deine gewinnende Art täglich neu unter Beweis stellen kannst. Ein engagiertes, qualifiziertes und mehrsprachiges Team freut sich auf dich. Die Arbeitssprachen sind Deutsch und Englisch, Französischkenntnisse sind ein Plus. Gleitende Arbeitszeiten, fortschrittliche Anstellungsbedingungen und attraktive Lohnnebenleistungen runden unser Angebot ab. Arbeitsort: Bern-Wankdorf.
Haben wir dein Interesse geweckt? Dann freuen wir uns auf deine vollständige Bewerbung! Arbeitsbeginn ab 1. März 2019 oder nach Vereinbarung. Identitas ist ein "equal opportunity employer". Für weiterführende Informationen wendest du dich bitte an Dr. Stefan Rieder, Unternehmensentwicklung, Tel.: +41 31 996 81 83. Deine Bewerbungsunterlagen sendest du an hr(at)identitas.ch.
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We are the leading company in Switzerland for data recording in the animal and plant sector. To strengthen our business area in data value creation we are looking for an experienced, talented and versatile
Data Scientist 80-100%
Your challenge: you are familiar with IT, databases, structured and unstructured data as well as complex prediction analyses. You are experienced in data handling, -analytics, and -visualization with R (dplyr, data.table, ggplot2, e1071, caret, etc.) and/or Python (pandas, scikit-learn, matplotlib, numPy, etc.). You are well versed with MS-SQL and gGIS. You do know about how to handle massive real-world data. Maybe, you are also an expert regarding biological and epidemiological data? And besides, do you care for healthy animals and safe food? You are a motivated, dynamic person, looking for a meaningful job with impact. You wish to contribute to the development of a business area in a SME. Your profound skills, humor, creativity and commitment to the job are key factors for our success. You dispose of a master's degree or even of a PhD, and an excellent track record.
What we offer: a challenging, meaningful job in R&D within a successful, unique Swiss company. The opportunity to develop data products and services for the benefit of the animal agriculture value chain and the companion animal sector. A dynamic and innovative work environment, where you are invited to bring your winning personality and skills in. A qualified, committed and multilingual team is looking forward to welcome you. Working languages are German and English, French is an asset. Identitas is offering attractive hiring conditions. Our offices are located in Bern-Wankdorf.
Interested: if so, we are happy to receive your full job application. Start of work on March 1st 2019 or by appointment. Identitas is an equal opportunity employer. If you wish more detailed information please contact Dr. Stefan Rieder, Corporate Development, Identitas AG, phone: +41 31 996 81 83. Please send your application to hr(at)Identitas.ch.
01/02/2019
Full time
Wir sind die führende Dienstleisterin in der Schweiz für Daten rund um das Tier und den Pflanzenbau. Zur Erweiterung unseres Teams im Geschäftsfeld Daten suchen wir einen erfahrenen, talentierten und vielseitigen
Data Scientist 80%-100%
Deine Herausforderung: Du bist mit Informatik, Datenbanken, strukturierten wie unstrukturierten Daten sowie komplexen Schätzverfahren vertraut. Du hast Erfahrung in Datenverarbeitung, -analyse und -visualisierung mit R (dplyr, data.table, ggplot2, e1071, caret, uam.) und/oder Python (pandas, scikit-learn, matplotlib, numPy, uam.). Du kennst dich aus mit MS-SQL und gGIS. Du hast bereits mit grossen Datensätzen zu tun gehabt. Verfügst du allenfalls auch über Erfahrung mit biologischen und epidemiologischen Daten? Sind dir gesunde Tiere und sichere Lebensmittel ein Anliegen? Du möchtest Wirkung erzielen und bist motiviert deine Kompetenzen in den Aufbau eines Geschäftsfeldes einzubringen. Deine Motivation sich mit vielen neuen Fragestellungen auseinanderzusetzen, profunden Kenntnisse, Kreativität und Engagement tragen massgeblich zu unserem Erfolg bei. Du verfügst über einen Hochschulabschluss mit Master oder gar Promotion und hast einen ausgewiesenen Track Record.
Dein Benefit: Eine fordernde, kreative R&D Aufgabe in einer erfolgreichen und bedeutenden Schweizer Unternehmung. Die Chance dich in der Entwicklung neuer Datenprodukte und Services, zu Gunsten der Wertschöpfungsketten tierische Landwirtschaft und Heimtiere zu engagieren. Ein dynamisches, durch Innovation geprägtes Umfeld, in welchem du deine Stärken sowie deine gewinnende Art täglich neu unter Beweis stellen kannst. Ein engagiertes, qualifiziertes und mehrsprachiges Team freut sich auf dich. Die Arbeitssprachen sind Deutsch und Englisch, Französischkenntnisse sind ein Plus. Gleitende Arbeitszeiten, fortschrittliche Anstellungsbedingungen und attraktive Lohnnebenleistungen runden unser Angebot ab. Arbeitsort: Bern-Wankdorf.
Haben wir dein Interesse geweckt? Dann freuen wir uns auf deine vollständige Bewerbung! Arbeitsbeginn ab 1. März 2019 oder nach Vereinbarung. Identitas ist ein "equal opportunity employer". Für weiterführende Informationen wendest du dich bitte an Dr. Stefan Rieder, Unternehmensentwicklung, Tel.: +41 31 996 81 83. Deine Bewerbungsunterlagen sendest du an hr(at)identitas.ch.
****
We are the leading company in Switzerland for data recording in the animal and plant sector. To strengthen our business area in data value creation we are looking for an experienced, talented and versatile
Data Scientist 80-100%
Your challenge: you are familiar with IT, databases, structured and unstructured data as well as complex prediction analyses. You are experienced in data handling, -analytics, and -visualization with R (dplyr, data.table, ggplot2, e1071, caret, etc.) and/or Python (pandas, scikit-learn, matplotlib, numPy, etc.). You are well versed with MS-SQL and gGIS. You do know about how to handle massive real-world data. Maybe, you are also an expert regarding biological and epidemiological data? And besides, do you care for healthy animals and safe food? You are a motivated, dynamic person, looking for a meaningful job with impact. You wish to contribute to the development of a business area in a SME. Your profound skills, humor, creativity and commitment to the job are key factors for our success. You dispose of a master's degree or even of a PhD, and an excellent track record.
What we offer: a challenging, meaningful job in R&D within a successful, unique Swiss company. The opportunity to develop data products and services for the benefit of the animal agriculture value chain and the companion animal sector. A dynamic and innovative work environment, where you are invited to bring your winning personality and skills in. A qualified, committed and multilingual team is looking forward to welcome you. Working languages are German and English, French is an asset. Identitas is offering attractive hiring conditions. Our offices are located in Bern-Wankdorf.
Interested: if so, we are happy to receive your full job application. Start of work on March 1st 2019 or by appointment. Identitas is an equal opportunity employer. If you wish more detailed information please contact Dr. Stefan Rieder, Corporate Development, Identitas AG, phone: +41 31 996 81 83. Please send your application to hr(at)Identitas.ch.
MindMaze is the world’s leading Neurotechnology start-up built on more than a decade of pioneering research at the intersection of virtual reality and neuroscience. Our breakthrough platform combines virtual & augmented reality, neuroscience and artificial intelligence to build intuitive human machine interfaces. Our first products help patients suffering from severe disabilities following a neurological incident.
Join our eclectic mix of scientists, physicists, engineers and clinicians, and grow with MindMaze.
Job Description
This role is your opportunity to build and deploy new AI products from the ground up.
You will work with/report to the Head of AI Initiatives to help build our AI development and production infrastructure and set our technical standards. To succeed you must become an expert in building AI models and putting them into production.
You will be required to deploy software into production by building maintainable, readable, modular solutions using modern software engineering best practices. Be ready to talk about your experiences doing code reviews, building interfaces, and deployment systems. You should have strong opinions about best software engineering practices.
You will:
Support the Head of AI Initiatives to set up our AI development and production infrastructure.
Support MindMaze product managers and business stakeholders understand the potential and limitations of AI when planning new products.
Build data ingest and data transformation infrastructure.
Identify transfer learning opportunities and new training datasets.
Build AI models from scratch and help product managers and stakeholders understand results.
Deploy AI models into production.
Create APIs and help business customers put results of your AI models into operations.
Keep current of latest AI research relevant to our business domain.
To support you, MindMaze will:
Provide an international collaborative work environment
Provide mentoring
Allow flexible employment terms and conditions
Qualifications
Skills that we look out for are among
BSc in a STEM (Sciences, Techno, Engineering, Math) subject ideally with Masters in a Computer Science related project with AI exposure
Postgraduate degree in AI related topic
At least 5 years hands-on programming /data science application experience working on enterprise products
Demonstrated proficiency in multiple programming languages with a strong foundation in a statistical platform such as Python (preferred), R, SAS, or MatLab
Experience building AI models in platforms such as Keras, TensorFlow (preferred), or Theano
Demonstrated strong personal commitment to improve yourself and particularly in learning about AI through your own initiatives through courses, books, or side projects and working on compensating for potential gaps
Ideally experience in Healthcare applications of this technology
Ability to shift gears comfortably without having the total picture and to handle risk and uncertainty
Ability to come up with a lot of new and unique ideas, making connections between existing models and best practices and adapt them to our environment
Business acumen: Knowledge of how the business works, knowledgeable in current and future practices, trends and information affecting the business
Strong team player : quickly find common ground and solve problems for the good of all. Ability to represent own interest and yet be fair to other groups
Fluent written and spoken English and French level (level C1)
Icing on the cake
Be ready to show us models you have created and discuss them in great detail.
Additional Information
To be successful you can illustrate the fact that you have the following abilities:
Working autonomously: setting tasks and direction under limited supervision
Oral and written communication: ability to write clearly and succinctly in a variety of communication settings and styles; ability to get messages across that have the desired effect
Self-Development: personally committed to and actively works to continuously improve him/herself; works with a growth mindset
Planning accurately: setting objectives and goals; breaking down work into the process steps; anticipating and adjusting to problems and roadblocks
31/01/2019
Full time
MindMaze is the world’s leading Neurotechnology start-up built on more than a decade of pioneering research at the intersection of virtual reality and neuroscience. Our breakthrough platform combines virtual & augmented reality, neuroscience and artificial intelligence to build intuitive human machine interfaces. Our first products help patients suffering from severe disabilities following a neurological incident.
Join our eclectic mix of scientists, physicists, engineers and clinicians, and grow with MindMaze.
Job Description
This role is your opportunity to build and deploy new AI products from the ground up.
You will work with/report to the Head of AI Initiatives to help build our AI development and production infrastructure and set our technical standards. To succeed you must become an expert in building AI models and putting them into production.
You will be required to deploy software into production by building maintainable, readable, modular solutions using modern software engineering best practices. Be ready to talk about your experiences doing code reviews, building interfaces, and deployment systems. You should have strong opinions about best software engineering practices.
You will:
Support the Head of AI Initiatives to set up our AI development and production infrastructure.
Support MindMaze product managers and business stakeholders understand the potential and limitations of AI when planning new products.
Build data ingest and data transformation infrastructure.
Identify transfer learning opportunities and new training datasets.
Build AI models from scratch and help product managers and stakeholders understand results.
Deploy AI models into production.
Create APIs and help business customers put results of your AI models into operations.
Keep current of latest AI research relevant to our business domain.
To support you, MindMaze will:
Provide an international collaborative work environment
Provide mentoring
Allow flexible employment terms and conditions
Qualifications
Skills that we look out for are among
BSc in a STEM (Sciences, Techno, Engineering, Math) subject ideally with Masters in a Computer Science related project with AI exposure
Postgraduate degree in AI related topic
At least 5 years hands-on programming /data science application experience working on enterprise products
Demonstrated proficiency in multiple programming languages with a strong foundation in a statistical platform such as Python (preferred), R, SAS, or MatLab
Experience building AI models in platforms such as Keras, TensorFlow (preferred), or Theano
Demonstrated strong personal commitment to improve yourself and particularly in learning about AI through your own initiatives through courses, books, or side projects and working on compensating for potential gaps
Ideally experience in Healthcare applications of this technology
Ability to shift gears comfortably without having the total picture and to handle risk and uncertainty
Ability to come up with a lot of new and unique ideas, making connections between existing models and best practices and adapt them to our environment
Business acumen: Knowledge of how the business works, knowledgeable in current and future practices, trends and information affecting the business
Strong team player : quickly find common ground and solve problems for the good of all. Ability to represent own interest and yet be fair to other groups
Fluent written and spoken English and French level (level C1)
Icing on the cake
Be ready to show us models you have created and discuss them in great detail.
Additional Information
To be successful you can illustrate the fact that you have the following abilities:
Working autonomously: setting tasks and direction under limited supervision
Oral and written communication: ability to write clearly and succinctly in a variety of communication settings and styles; ability to get messages across that have the desired effect
Self-Development: personally committed to and actively works to continuously improve him/herself; works with a growth mindset
Planning accurately: setting objectives and goals; breaking down work into the process steps; anticipating and adjusting to problems and roadblocks
We are looking for an experienced and enthusiastic Research Scientist in Machine Learning able to cope with the challenges of building next generation solutions in medical image & data analysis.
The candidate would be a key member of RetinAI’s scientific team, taking a leading role in the development and deployment of our machine learning technology.
We are looking for candidates who love what they do, with good communication skills, able to understand the requirements of the solution and to contribute with their experience to solve challenging problems in collaboration with our team.
The working location would be Bern or Zurich . The company is based in Bern, but we are strong supporters of mobility and work-life balance!
REQUIREMENTS
Entrepreneurial mindset!
PhD degree in Machine Learning or Computer Science, or equivalent practical experience.
3+ years experience in Machine Learning.
Python & Python-based working environments.
Computer Vision and Image analysis.
Experience with algorithm development & computational complexity.
Experience with developing stable code.
Experience with development tools (bug tracking, revision control, testing…).
Strong teamwork ethic, passion for learning and desire to seek new challenges.
Unsupervised and/or Reinforcement learning would be a strong plus.
RESPONSIBILITIES
You will solve cutting-edge scientific and technical challenges in the field of machine learning applied to medical imaging and medical devices.
You will develop, optimise and improve core machine learning and image processing algorithms within RetinAI .
You will conduct code reviews.
You will analyse and improve the efficiency and scalability of our systems and processes.
You will collaborate with multiple team members within the company.
14/01/2019
Full time
We are looking for an experienced and enthusiastic Research Scientist in Machine Learning able to cope with the challenges of building next generation solutions in medical image & data analysis.
The candidate would be a key member of RetinAI’s scientific team, taking a leading role in the development and deployment of our machine learning technology.
We are looking for candidates who love what they do, with good communication skills, able to understand the requirements of the solution and to contribute with their experience to solve challenging problems in collaboration with our team.
The working location would be Bern or Zurich . The company is based in Bern, but we are strong supporters of mobility and work-life balance!
REQUIREMENTS
Entrepreneurial mindset!
PhD degree in Machine Learning or Computer Science, or equivalent practical experience.
3+ years experience in Machine Learning.
Python & Python-based working environments.
Computer Vision and Image analysis.
Experience with algorithm development & computational complexity.
Experience with developing stable code.
Experience with development tools (bug tracking, revision control, testing…).
Strong teamwork ethic, passion for learning and desire to seek new challenges.
Unsupervised and/or Reinforcement learning would be a strong plus.
RESPONSIBILITIES
You will solve cutting-edge scientific and technical challenges in the field of machine learning applied to medical imaging and medical devices.
You will develop, optimise and improve core machine learning and image processing algorithms within RetinAI .
You will conduct code reviews.
You will analyse and improve the efficiency and scalability of our systems and processes.
You will collaborate with multiple team members within the company.
Doodle is quickly becoming the core internet utility for scheduling used every day. We enable great meetings because people can do amazing things when working together. Today, Doodle’s products reach more than 28 million users per month. We make it our mission to find the optimal point in time for 8 business people to schedule this super important meeting.
You’ll be joining our newly formed Data team based in our Zurich office. You and your team will lay the foundation for our data infrastructure that helps Engineers and Product Managers to develop personalized Doodle experiences and further accelerate growth and collaborate with our data scientists to build the AI behind Doodle. We build a state of the art data pipeline using Kafka, real time stream processors, spark and various databases (Redshift, Athena and MongoDB).
Data Engineer (f/m) 80-100%
We are specifically looking for:
BSc or MSc in Computer Science or a related field
Real passion for collaboration and strong interpersonal skills
Experience crafting and implementing high-performance microservices serving millions of requests a day and stream-processing of large data sets (Kafka experience is a big plus)
Strong grasp of database structure, design, query languages (e.g. SQL), large data sets, distributed systems, fundamentals of mathematics and statistical concepts
Experience in building data pipelines, processing services and models in Python (airflow, scikit-learn or pandas know-how is a big plus)
Experience in at least one statically typed language. We use Java, Scala and Go
Ideally knowledge/interest in Linux, Docker and container orchestration frameworks, such as Kubernetes
Whom you’ll be working with:
We’re a fun bunch of people and we have an open, casual and inclusive atmosphere, where everyone encourages each other to share their opinions, interests and weird hobbies. You’ll be working with different people in the company, sometimes across offices. Over lunch you will have the tough choice of in-house canteen, many outside options (or only Thai food according to a few), and the option to do some sports with your teammates (bouldering, volleyball, basketball, gym and more).
What we offer
The chance to create the AI behind Doodle
Make an impact for millions of users
We are home-office and remote work friendly, matched with flexible working hours
Your personal growth is important to us. So, you will have a personal, yearly budget for educational courses, conferences etc.
Sunny, open offices in central locations in Berlin, Zurich, Belgrade & Tel Aviv. Yes, you get to travel there too. This includes a once per year budget to do so, even if there is no specific business reason
Top-spec hardware: you choose your setup
So, get in touch!
Doodle provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. We believe that a diverse team makes for better products and a better workplace. Our team comes from all over the world (representing 20 nationalities) and from diverse backgrounds.
We do not accept unsolicited CVs from Third Party Agencies .
02/01/2019
Full time
Doodle is quickly becoming the core internet utility for scheduling used every day. We enable great meetings because people can do amazing things when working together. Today, Doodle’s products reach more than 28 million users per month. We make it our mission to find the optimal point in time for 8 business people to schedule this super important meeting.
You’ll be joining our newly formed Data team based in our Zurich office. You and your team will lay the foundation for our data infrastructure that helps Engineers and Product Managers to develop personalized Doodle experiences and further accelerate growth and collaborate with our data scientists to build the AI behind Doodle. We build a state of the art data pipeline using Kafka, real time stream processors, spark and various databases (Redshift, Athena and MongoDB).
Data Engineer (f/m) 80-100%
We are specifically looking for:
BSc or MSc in Computer Science or a related field
Real passion for collaboration and strong interpersonal skills
Experience crafting and implementing high-performance microservices serving millions of requests a day and stream-processing of large data sets (Kafka experience is a big plus)
Strong grasp of database structure, design, query languages (e.g. SQL), large data sets, distributed systems, fundamentals of mathematics and statistical concepts
Experience in building data pipelines, processing services and models in Python (airflow, scikit-learn or pandas know-how is a big plus)
Experience in at least one statically typed language. We use Java, Scala and Go
Ideally knowledge/interest in Linux, Docker and container orchestration frameworks, such as Kubernetes
Whom you’ll be working with:
We’re a fun bunch of people and we have an open, casual and inclusive atmosphere, where everyone encourages each other to share their opinions, interests and weird hobbies. You’ll be working with different people in the company, sometimes across offices. Over lunch you will have the tough choice of in-house canteen, many outside options (or only Thai food according to a few), and the option to do some sports with your teammates (bouldering, volleyball, basketball, gym and more).
What we offer
The chance to create the AI behind Doodle
Make an impact for millions of users
We are home-office and remote work friendly, matched with flexible working hours
Your personal growth is important to us. So, you will have a personal, yearly budget for educational courses, conferences etc.
Sunny, open offices in central locations in Berlin, Zurich, Belgrade & Tel Aviv. Yes, you get to travel there too. This includes a once per year budget to do so, even if there is no specific business reason
Top-spec hardware: you choose your setup
So, get in touch!
Doodle provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. We believe that a diverse team makes for better products and a better workplace. Our team comes from all over the world (representing 20 nationalities) and from diverse backgrounds.
We do not accept unsolicited CVs from Third Party Agencies .
Most wanted: versatile, ambitious engineer hungry to push the limits of artificial intelligence.
Onedot has been built because we believe that data should be made consumable across sources and organisations.
We offer a dynamic, flexible and inspiring work environment with lots of room for personal growth where you enjoy autonomy, actively shape our product and have a meaningful impact. You will be in charge of novel statistical algorithms inspired by human perception, powered by various machine learning and artificial intelligence methods. Translating real-world problems into the best classes of algorithms and combining them into powerful end-to-end solutions is your thing. You maintain strong knowledge about industry trends, new technologies, and best practices for large-scale machine learning and data processing.
We use probabilistic methods and advanced text analysis to automatically turn messy data into structured information. Our technology achieves super-human performance, makes data standards redundant and accelerates business growth. Onedot is a startup backed by leading venture capital firms and world class entrepreneurs.
Your Responsibilities
Create, prototype and advance our probabilistic machine learning algorithms
Design, implement and test large-scale machine learning models
Prototype end-to-end solutions involving multiple machine learning problems
Work with research and engineering teams to bring novel approaches from prototypes to production code
Document, coach and educate engineering team members in relevant fields
Minimum Qualifications
MSc or PhD in Machine Learning, Computer Science or related fields
Excellent math and statistics skills
Expertise in Shell Scripts, Python, Scala, and at least one machine learning framework
Motivation and passion for large-scale machine learning problems
Ability to write expressive, high-quality, reusable code
Thinks big, gets things done, has fun and loves working with a high impact team!
Preferred Qualifications
Expertise in reinforcement learning and incremental learning
Deep understanding of functional programming paradigms
Experience with large-scale distributed applications performing under heavy load
As part of our dedication to the diversity of our workforce, Onedot is committed to equal employment opportunity without regard for race, colour, national origin, ethnicity, gender, disability, sexual orientation, gender identity, or religion.
This is a full time position based in our office in Zurich/Schlieren.
Apply today, and we start our journey together!
REQUIREMENTS
English language proficiency
Minimum of 4 years of relevant industry experience
BENEFITS
Performance-oriented compensation, because we reward high-impact work.
Stock option programme, because we want to share our success
Flexible work hours, because impact, not face-time counts
Occasional work from home, so that you can focus and concentrate
Truly international colleagues, to learn from each other and push forward as one team
Cool office space, because we like it cosy and comfortable
Free snacks, drinks, coffee and other perks to keep you going
Regular events to better get to know each other
Planned education & training to continuously broaden your skills
Accident insurance to cater for your personal health
Generous pension plan to provide for your future
22/02/2019
Full time
Most wanted: versatile, ambitious engineer hungry to push the limits of artificial intelligence.
Onedot has been built because we believe that data should be made consumable across sources and organisations.
We offer a dynamic, flexible and inspiring work environment with lots of room for personal growth where you enjoy autonomy, actively shape our product and have a meaningful impact. You will be in charge of novel statistical algorithms inspired by human perception, powered by various machine learning and artificial intelligence methods. Translating real-world problems into the best classes of algorithms and combining them into powerful end-to-end solutions is your thing. You maintain strong knowledge about industry trends, new technologies, and best practices for large-scale machine learning and data processing.
We use probabilistic methods and advanced text analysis to automatically turn messy data into structured information. Our technology achieves super-human performance, makes data standards redundant and accelerates business growth. Onedot is a startup backed by leading venture capital firms and world class entrepreneurs.
Your Responsibilities
Create, prototype and advance our probabilistic machine learning algorithms
Design, implement and test large-scale machine learning models
Prototype end-to-end solutions involving multiple machine learning problems
Work with research and engineering teams to bring novel approaches from prototypes to production code
Document, coach and educate engineering team members in relevant fields
Minimum Qualifications
MSc or PhD in Machine Learning, Computer Science or related fields
Excellent math and statistics skills
Expertise in Shell Scripts, Python, Scala, and at least one machine learning framework
Motivation and passion for large-scale machine learning problems
Ability to write expressive, high-quality, reusable code
Thinks big, gets things done, has fun and loves working with a high impact team!
Preferred Qualifications
Expertise in reinforcement learning and incremental learning
Deep understanding of functional programming paradigms
Experience with large-scale distributed applications performing under heavy load
As part of our dedication to the diversity of our workforce, Onedot is committed to equal employment opportunity without regard for race, colour, national origin, ethnicity, gender, disability, sexual orientation, gender identity, or religion.
This is a full time position based in our office in Zurich/Schlieren.
Apply today, and we start our journey together!
REQUIREMENTS
English language proficiency
Minimum of 4 years of relevant industry experience
BENEFITS
Performance-oriented compensation, because we reward high-impact work.
Stock option programme, because we want to share our success
Flexible work hours, because impact, not face-time counts
Occasional work from home, so that you can focus and concentrate
Truly international colleagues, to learn from each other and push forward as one team
Cool office space, because we like it cosy and comfortable
Free snacks, drinks, coffee and other perks to keep you going
Regular events to better get to know each other
Planned education & training to continuously broaden your skills
Accident insurance to cater for your personal health
Generous pension plan to provide for your future
Avaloq is driving the digital transformation and automation of the financial services industry. Our clients are the leading banks of today and tomorrow. Based on our fully integrated banking software, we create powerful digital experiences provided through a standardized Business Process as a Service (BPaaS) or Software as a Service (SaaS) model to banks and wealth managers.
To further spur innovation, we work with clients, other fintechs, universities and hundreds of third-party developers in a uniquely collaborative way we call the Avaloq Ecosystem.
Headquartered in Switzerland, Avaloq has more than 2,000 employees and has a presence in the world’s most demanding financial and innovation centres, including Berlin, Frankfurt, Hong Kong, London, Luxembourg, Madrid, Paris, Singapore and Sydney.
The positionAre you passionate about data? Are you interested in shaping the next generation of data science driven products for the financial industry? Do you enjoy working in an agile environment involving multiple stakeholders?
A challenging role as Senior Data Scientist in a demanding, dynamic and international software company using the latest innovations in predictive analytics and visualization techniques. You will be driving the creation of statistical and machine learning models from prototyping until the final deployment.
We want you to help us to strengthen and further develop the transformation of Avaloq to a data driven product company. Make analytics scalable and accelerate the process of data science innovation.
Your profile
PhD or Master degree in Computer Science, Math, Physics, Engineering, Statistics or other technical field
5+ years of experience in Statistical Modelling, Anomaly Detection, Machine Learning algorithms both Supervised and Unsupervised
Proven experience in applying data science methods to business problems
Ability to explain complex analytical concepts to people from other fields
Proficiency in at least one of the following: Python, R, Java/Scala, SQL and/or SAS
Knowledgeable with BigData technologies and architectures (e.g. Hadoop, Spark, stream processing)
Expertise in text mining and natural language processing is a strong plus
Familiarity with network analysis and/or graph databases is a plus
High integrity, responsibility and confidentiality a requirement for dealing with sensitive data
Strong presentation and communication skills
Experience in leading teams and mentoring others
Good planning and organisational skills
Collaborative mindset to sharing ideas and finding solutions
Experience in the financial industry is a strong plus
Fluent in English; German, Italian and French a plus
Professional requirements
Use machine learning tools and statistical techniques to produce solutions for customer demands and complex problems
Participate in pre-sales and pre-project analysis to develop prototypes and proof-of-concepts
Analyse customer behaviour and needs enabling customer-centric product development
Liaise and coordinate with internal infrastructure and architecture team regarding setting up and running a BigData & Analytics platform
Strengthen data science within Avaloq and establish a data science centre of expertise
Look for opportunities to use insights/datasets/code/models across other functions in Avaloq
Main place of workZurichContactAvaloq Evolution AG Alina Tauscher, Talent Acquisition Professional Allmendstrasse 140 - 8027 Zürich - Switzerland
22/02/2019
Full time
Avaloq is driving the digital transformation and automation of the financial services industry. Our clients are the leading banks of today and tomorrow. Based on our fully integrated banking software, we create powerful digital experiences provided through a standardized Business Process as a Service (BPaaS) or Software as a Service (SaaS) model to banks and wealth managers.
To further spur innovation, we work with clients, other fintechs, universities and hundreds of third-party developers in a uniquely collaborative way we call the Avaloq Ecosystem.
Headquartered in Switzerland, Avaloq has more than 2,000 employees and has a presence in the world’s most demanding financial and innovation centres, including Berlin, Frankfurt, Hong Kong, London, Luxembourg, Madrid, Paris, Singapore and Sydney.
The positionAre you passionate about data? Are you interested in shaping the next generation of data science driven products for the financial industry? Do you enjoy working in an agile environment involving multiple stakeholders?
A challenging role as Senior Data Scientist in a demanding, dynamic and international software company using the latest innovations in predictive analytics and visualization techniques. You will be driving the creation of statistical and machine learning models from prototyping until the final deployment.
We want you to help us to strengthen and further develop the transformation of Avaloq to a data driven product company. Make analytics scalable and accelerate the process of data science innovation.
Your profile
PhD or Master degree in Computer Science, Math, Physics, Engineering, Statistics or other technical field
5+ years of experience in Statistical Modelling, Anomaly Detection, Machine Learning algorithms both Supervised and Unsupervised
Proven experience in applying data science methods to business problems
Ability to explain complex analytical concepts to people from other fields
Proficiency in at least one of the following: Python, R, Java/Scala, SQL and/or SAS
Knowledgeable with BigData technologies and architectures (e.g. Hadoop, Spark, stream processing)
Expertise in text mining and natural language processing is a strong plus
Familiarity with network analysis and/or graph databases is a plus
High integrity, responsibility and confidentiality a requirement for dealing with sensitive data
Strong presentation and communication skills
Experience in leading teams and mentoring others
Good planning and organisational skills
Collaborative mindset to sharing ideas and finding solutions
Experience in the financial industry is a strong plus
Fluent in English; German, Italian and French a plus
Professional requirements
Use machine learning tools and statistical techniques to produce solutions for customer demands and complex problems
Participate in pre-sales and pre-project analysis to develop prototypes and proof-of-concepts
Analyse customer behaviour and needs enabling customer-centric product development
Liaise and coordinate with internal infrastructure and architecture team regarding setting up and running a BigData & Analytics platform
Strengthen data science within Avaloq and establish a data science centre of expertise
Look for opportunities to use insights/datasets/code/models across other functions in Avaloq
Main place of workZurichContactAvaloq Evolution AG Alina Tauscher, Talent Acquisition Professional Allmendstrasse 140 - 8027 Zürich - Switzerland
The Knowledge Science team is part of the Corporate R&D division. Fundamental research on AI/ML in the context of chemistry, sensory and creativity is at the core of the team’s activity with the goal to deliver data-driven business functions across the company. Our working environment includes latest hardware equipment and tools from the IT and collaborations with key AI players (academic and industrial) around the world.
We are looking for an experienced Data Scientist, grounded with a strong Machine Learning expertise and passionate about mathematical modeling and optimization processes. Being a core member of the data science team, you will work in close collaboration with business unit professionals and managers to solve complex business problem through advanced algorithms and machine learning approaches.
This role is at the heart of the Firmenich's digitalization strategy and will offer a high visibility within senior level executives. The successfull candidate will have to demonstrate excellent team leading skills and communication abilities to foster a strong data-driven culture within the company.
Your reponsabilities:
Conduct research on Artificial Intelligence in the field of the Fragrance and Flavours Industry.
Turn business and technical challenges into algorithmic and data-driven solutions.
Supervised deployment of models and algorithms within the production environement. Ensure conitnuous improvement through industrialized machine learning pipeline.
Collaborate and communicate to all levels of the company and externally (academic, start-up...).
Build new and improved solutions for data collection, management and usage.
Become an authorithy in Machine Learning / Artificial Intelligence within the company.
Qualifications:
Advanced degree (PhD preferred) in a quantitative field like computer science, engineering, statistics, physics.
Demonstrated experience with machine learning, operation research and datamining in professional environement.
Proven ability to manage R&D projects and supervise research teams.
Deep understanding of statistics, probabilites, artificial neural networks, minimization algorithms.
Excellent command of Python/Matlab and related DL frameworks (Tensorflow, PyTorch, Mathworks DL toolbox...).
Knowledge of SQL, no-SQL, javascript and DevOps methodologies appreciated.
Ability to work in an international atmosphere, involving high-level collaborations with both academic and business partners.
Willing to assume additional responsibilities and to become a respected know-how carrier in our team
22/02/2019
Full time
The Knowledge Science team is part of the Corporate R&D division. Fundamental research on AI/ML in the context of chemistry, sensory and creativity is at the core of the team’s activity with the goal to deliver data-driven business functions across the company. Our working environment includes latest hardware equipment and tools from the IT and collaborations with key AI players (academic and industrial) around the world.
We are looking for an experienced Data Scientist, grounded with a strong Machine Learning expertise and passionate about mathematical modeling and optimization processes. Being a core member of the data science team, you will work in close collaboration with business unit professionals and managers to solve complex business problem through advanced algorithms and machine learning approaches.
This role is at the heart of the Firmenich's digitalization strategy and will offer a high visibility within senior level executives. The successfull candidate will have to demonstrate excellent team leading skills and communication abilities to foster a strong data-driven culture within the company.
Your reponsabilities:
Conduct research on Artificial Intelligence in the field of the Fragrance and Flavours Industry.
Turn business and technical challenges into algorithmic and data-driven solutions.
Supervised deployment of models and algorithms within the production environement. Ensure conitnuous improvement through industrialized machine learning pipeline.
Collaborate and communicate to all levels of the company and externally (academic, start-up...).
Build new and improved solutions for data collection, management and usage.
Become an authorithy in Machine Learning / Artificial Intelligence within the company.
Qualifications:
Advanced degree (PhD preferred) in a quantitative field like computer science, engineering, statistics, physics.
Demonstrated experience with machine learning, operation research and datamining in professional environement.
Proven ability to manage R&D projects and supervise research teams.
Deep understanding of statistics, probabilites, artificial neural networks, minimization algorithms.
Excellent command of Python/Matlab and related DL frameworks (Tensorflow, PyTorch, Mathworks DL toolbox...).
Knowledge of SQL, no-SQL, javascript and DevOps methodologies appreciated.
Ability to work in an international atmosphere, involving high-level collaborations with both academic and business partners.
Willing to assume additional responsibilities and to become a respected know-how carrier in our team
GPS (Global Product Strategy) drives the business strategy at Roche from research to commercialization. GPS collaborates closely with teams across the organization to bring new therapies to the market and maximize the launched product portfolio. With your ability to work in the detail yet see the big picture you can influence the direction of the company in a disease area. At Roche we offer you chances to create your career inside or outside of GPS. With offices in 160 countries, we offer a truly international experience depending on where your interests take you.
The Data Scientist will be responsible for creating value from data assets using advanced analytics capabilities, such as data science, machine learning, and artificial intelligence methods, to identify critical business issues and opportunities for the strategic direction of Roche as part of the Advanced Analytics and Business Insights (AABI) Center of Excellence. In this role, the individual will work closely with the AABI team and the broader GPS/I8 teams to define use cases, frame analytical solutions and roadmaps, and implement analysis to drive business impact for Roche across the Commercial, Market Access, Medical, and Finance teams. They will work closely with IT to develop state-of-the-art analytical capabilities to address identified needs.
The Data Scientist is a subject matter expert on analytics, data, and measurement. Their technical expertise and strong leadership is recognized externally (speaking at conferences and industry events) and internally (proactively providing market expertise and strategic guidance to key stakeholders, while learning and sharing methodologies for complex analyses). They integrate multiple data sources to become a trusted, objective source of strategic insights and compelling recommendations to the Commercial organization and our internal partners.
Responsibilities
In this position, the person will be accountable to consistently and effectively:
Set strategic direction by working across GPS/I8 to understand business needs and translate them into use cases to drive business impact for Roche
Partner with the data platform and governance team and IT to ensure that data strategy has the ability to resolve use cases in the most efficient and effective manner
Apply analytical and statistical methods to solve identified use cases in an agile manner using multiple data sources and analytical tools
Develop, implement, and evolve the role of data science, machine learning, and artificial intelligence capabilities across GPS and I8 Commercial, Market Access, Medical, and Finance teams
Automate analyses and develop interactive, employee-facing tools, platforms, and systems that inform, support, and enable business decisions across Roche by delivering insights in a speedy and efficient manner
Provide technical/analytical expertise to team through secondary data analytics
Collaborate within cross-functional teams to develop solutions, gain alignment and deliver impactful business insights; engage necessary stakeholders to enable better decision-making
Openly share perspective and insights to elevate team thinking and drive a balanced, holistic point of view; effectively weigh and communicate trade-off considerations
Take an enterprise mindset, linking individual responsibilities with broader organization; focus on outcomes that provide most business value
Demonstrate self-accountability
Look for opportunities for continuous improvement; engage managers and peer group regularly for coaching, assistance, and advocacy
Act as a thought partner and advisor to all relevant teams and stakeholders; look for and establish opportunities for peer mentorship
Key Qualifications and Experience Required:
Masters/PhD in Data Science, Statistics, or related graduate-level degree
At least three years analytical experience, preferably within pharmaceutical or biotech industry
Very strong technical skills: designed and conducted analyses to generate insight and recommendations; proficiency in analytical tools (Python, Spark, R etc.) and cloud computing environments
Demonstrated ability to influence without direct authority and to develop and maintain strong partnerships
Exceptional structured problem-solving and strategic agility abilities
Excellent communication skills: simplifying complex information into clear, synthesized insights and presenting them to stakeholders at all levels of the organization
Experience with global pharmaceutical data: syndicated sales, promotional & marketing data, longitudinal patient-level data, payer data. Additional knowledge of primary market research or medical research data is a plus.
Experience using patient level data (medical/retail claims) to analyze treatment and usage patterns
Experience working with commercial teams and marketing analytics
Experience with advanced statistical techniques such as experimental design, CHAID, uncertainty analysis, data mining, segmentation methods, multivariate regression, construction of score-cards, or predictive modeling
Excellent speaking abilities; strong network around data science and analytics
Proven track record for consistently meeting or exceeding qualitative, as well as any relevant quantitative, targets and goals
Ability to communicate statistical and technical ideas and results to non-technical clients in written and verbal form, including experience and level of comfort presenting concepts to senior executives
Impeccable ethics and integrity
Business travel is required for regular internal and external business meetings
Are you ready to apply? We are looking for someone who thinks beyond the job offered - someone who knows that this position can be a rare springboard to many other opportunities at Roche.
Roche embraces diversity and equal opportunity in a serious way. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our work will be.
Who We Are
A member of the Roche Group, Genentech has been at the forefront of the biotechnology industry for more than 40 years, using human genetic information to develop novel medicines for serious and life-threatening diseases. Genentech has multiple therapies on the market for cancer & other serious illnesses. Please take this opportunity to learn about Genentech where we believe that our employees are our most important asset & are dedicated to remaining a great place to work.
The next step is yours. To apply today, click on the "Apply online" button.
22/02/2019
Full time
GPS (Global Product Strategy) drives the business strategy at Roche from research to commercialization. GPS collaborates closely with teams across the organization to bring new therapies to the market and maximize the launched product portfolio. With your ability to work in the detail yet see the big picture you can influence the direction of the company in a disease area. At Roche we offer you chances to create your career inside or outside of GPS. With offices in 160 countries, we offer a truly international experience depending on where your interests take you.
The Data Scientist will be responsible for creating value from data assets using advanced analytics capabilities, such as data science, machine learning, and artificial intelligence methods, to identify critical business issues and opportunities for the strategic direction of Roche as part of the Advanced Analytics and Business Insights (AABI) Center of Excellence. In this role, the individual will work closely with the AABI team and the broader GPS/I8 teams to define use cases, frame analytical solutions and roadmaps, and implement analysis to drive business impact for Roche across the Commercial, Market Access, Medical, and Finance teams. They will work closely with IT to develop state-of-the-art analytical capabilities to address identified needs.
The Data Scientist is a subject matter expert on analytics, data, and measurement. Their technical expertise and strong leadership is recognized externally (speaking at conferences and industry events) and internally (proactively providing market expertise and strategic guidance to key stakeholders, while learning and sharing methodologies for complex analyses). They integrate multiple data sources to become a trusted, objective source of strategic insights and compelling recommendations to the Commercial organization and our internal partners.
Responsibilities
In this position, the person will be accountable to consistently and effectively:
Set strategic direction by working across GPS/I8 to understand business needs and translate them into use cases to drive business impact for Roche
Partner with the data platform and governance team and IT to ensure that data strategy has the ability to resolve use cases in the most efficient and effective manner
Apply analytical and statistical methods to solve identified use cases in an agile manner using multiple data sources and analytical tools
Develop, implement, and evolve the role of data science, machine learning, and artificial intelligence capabilities across GPS and I8 Commercial, Market Access, Medical, and Finance teams
Automate analyses and develop interactive, employee-facing tools, platforms, and systems that inform, support, and enable business decisions across Roche by delivering insights in a speedy and efficient manner
Provide technical/analytical expertise to team through secondary data analytics
Collaborate within cross-functional teams to develop solutions, gain alignment and deliver impactful business insights; engage necessary stakeholders to enable better decision-making
Openly share perspective and insights to elevate team thinking and drive a balanced, holistic point of view; effectively weigh and communicate trade-off considerations
Take an enterprise mindset, linking individual responsibilities with broader organization; focus on outcomes that provide most business value
Demonstrate self-accountability
Look for opportunities for continuous improvement; engage managers and peer group regularly for coaching, assistance, and advocacy
Act as a thought partner and advisor to all relevant teams and stakeholders; look for and establish opportunities for peer mentorship
Key Qualifications and Experience Required:
Masters/PhD in Data Science, Statistics, or related graduate-level degree
At least three years analytical experience, preferably within pharmaceutical or biotech industry
Very strong technical skills: designed and conducted analyses to generate insight and recommendations; proficiency in analytical tools (Python, Spark, R etc.) and cloud computing environments
Demonstrated ability to influence without direct authority and to develop and maintain strong partnerships
Exceptional structured problem-solving and strategic agility abilities
Excellent communication skills: simplifying complex information into clear, synthesized insights and presenting them to stakeholders at all levels of the organization
Experience with global pharmaceutical data: syndicated sales, promotional & marketing data, longitudinal patient-level data, payer data. Additional knowledge of primary market research or medical research data is a plus.
Experience using patient level data (medical/retail claims) to analyze treatment and usage patterns
Experience working with commercial teams and marketing analytics
Experience with advanced statistical techniques such as experimental design, CHAID, uncertainty analysis, data mining, segmentation methods, multivariate regression, construction of score-cards, or predictive modeling
Excellent speaking abilities; strong network around data science and analytics
Proven track record for consistently meeting or exceeding qualitative, as well as any relevant quantitative, targets and goals
Ability to communicate statistical and technical ideas and results to non-technical clients in written and verbal form, including experience and level of comfort presenting concepts to senior executives
Impeccable ethics and integrity
Business travel is required for regular internal and external business meetings
Are you ready to apply? We are looking for someone who thinks beyond the job offered - someone who knows that this position can be a rare springboard to many other opportunities at Roche.
Roche embraces diversity and equal opportunity in a serious way. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our work will be.
Who We Are
A member of the Roche Group, Genentech has been at the forefront of the biotechnology industry for more than 40 years, using human genetic information to develop novel medicines for serious and life-threatening diseases. Genentech has multiple therapies on the market for cancer & other serious illnesses. Please take this opportunity to learn about Genentech where we believe that our employees are our most important asset & are dedicated to remaining a great place to work.
The next step is yours. To apply today, click on the "Apply online" button.
EY is a global leader in assurance, tax, transaction and advisory services. The insights and quality services we deliver help build trust and confidence in the capital markets and in economies. We develop outstanding leaders who team to deliver on our promises to all of our stakeholders. In so doing, we play a critical role in building a better working world for our people, for our clients and for our communities. Visit us at http://www.ey.com/CH/en/Careers
The rapidly growing Forensic & Integrity Services department is currently seeking the right candidate for an excellent career opportunity in the Forensics team in Zurich
Our Forensics team is a multidisciplinary group of professionals (i.e. forensic accountants, lawyers, data analysts, forensic technology and former law enforcement professionals) that develop business concepts which specifically target to create confidence and prevent or combat fraud, bribery and corruption. Build your career as an employee and help our customers avoid financial loss and reputational damage.
Tasks that you promote
Supporting on investigations of any type of misconduct (e.g. fraud, bribery, corruption) and assisting in technology assisted document reviews
Support in the design and implementation of compliance and anti-fraud management systems
Assisting in the development and implementation of guidelines and codes as well as anti-fraud and compliance communication strategies
Working on compliance risk and performance assessments
Assisting in third-party risk management and integrity checks
Working with clients, fraud investigators, internal and external auditors, forensic technology experts, lawyers and regulatory authorities in sensitive and sometimes adversarial situations
Your profile to succeed together
Degree (Bachelor or Master) in business administration, accounting, finance, audit or related fields
Knowledge of Compliance and Risk Management, Fraud Schemes, Accounting and Finance
Ideally practical experience in a similar type of work
Assertive and proactive approach to the execution of projects as well as the ability to network effectively within large organizations and build relationships with individuals and clients.
Excellent verbal and written communication skills in English and German is required - any additional language considered as a plus.
More opportunities for your development
Do you have challenging plans? Stick to them and realize your goals with us! Design your career with EY in a culture that promotes diversity and education. In an environment that constantly opens new doors through knowledge sharing, flexibility and recognition. We offer you to join our highly motivated team . You will be working and learning in a highly dynamic and cross-functional team - being able to boost your learning curve through the combination of intensive team work, challenging client projects and being part of the network of one of the world’s leading professional services firms.
Mr Jona Fahrlaender looking forward to receiving your application
Do the next step and apply for this position online with Ref: SWI000J6
Only direct applications will be considered.
12/02/2019
Full time
EY is a global leader in assurance, tax, transaction and advisory services. The insights and quality services we deliver help build trust and confidence in the capital markets and in economies. We develop outstanding leaders who team to deliver on our promises to all of our stakeholders. In so doing, we play a critical role in building a better working world for our people, for our clients and for our communities. Visit us at http://www.ey.com/CH/en/Careers
The rapidly growing Forensic & Integrity Services department is currently seeking the right candidate for an excellent career opportunity in the Forensics team in Zurich
Our Forensics team is a multidisciplinary group of professionals (i.e. forensic accountants, lawyers, data analysts, forensic technology and former law enforcement professionals) that develop business concepts which specifically target to create confidence and prevent or combat fraud, bribery and corruption. Build your career as an employee and help our customers avoid financial loss and reputational damage.
Tasks that you promote
Supporting on investigations of any type of misconduct (e.g. fraud, bribery, corruption) and assisting in technology assisted document reviews
Support in the design and implementation of compliance and anti-fraud management systems
Assisting in the development and implementation of guidelines and codes as well as anti-fraud and compliance communication strategies
Working on compliance risk and performance assessments
Assisting in third-party risk management and integrity checks
Working with clients, fraud investigators, internal and external auditors, forensic technology experts, lawyers and regulatory authorities in sensitive and sometimes adversarial situations
Your profile to succeed together
Degree (Bachelor or Master) in business administration, accounting, finance, audit or related fields
Knowledge of Compliance and Risk Management, Fraud Schemes, Accounting and Finance
Ideally practical experience in a similar type of work
Assertive and proactive approach to the execution of projects as well as the ability to network effectively within large organizations and build relationships with individuals and clients.
Excellent verbal and written communication skills in English and German is required - any additional language considered as a plus.
More opportunities for your development
Do you have challenging plans? Stick to them and realize your goals with us! Design your career with EY in a culture that promotes diversity and education. In an environment that constantly opens new doors through knowledge sharing, flexibility and recognition. We offer you to join our highly motivated team . You will be working and learning in a highly dynamic and cross-functional team - being able to boost your learning curve through the combination of intensive team work, challenging client projects and being part of the network of one of the world’s leading professional services firms.
Mr Jona Fahrlaender looking forward to receiving your application
Do the next step and apply for this position online with Ref: SWI000J6
Only direct applications will be considered.
The ideal candidate will be a hands-on data scientist, quantitative epidemiologist or statistician with experience in large-scale healthcare data analysis. S/he will have experience working with a variety of data sources, such as clinical trial data, electronic health record data, insurance claims data, and disease/patient registry data. The candidate must also have a demonstrated ability to actively listen, integrate input from diverse sources, and collaboratively translate medical or business questions into data and analysis requirements and a clear path forward.
Overall responsibilities include :
Directly participate in multiple analytics projects
Collaboratively develop analysis plans based on clinical or business questions, and lead their execution through the use of existing analytic approaches or the development of novel ones.
Interpret data analysis results in clinical or business context, and articulate the implications of the results to the business function
Represent the IKU Data Sciences group and its capabilities in meetings with nontechnical peers
Work in a fast-paced multidisciplinary dynamic environment, and as necessary create examples, prototypes, demonstrations to help the business better understand innovative solutions
Collaborate with team members to meet project checkpoints and accomplish team objectives
Key competencies, skills, and attributes:
Advanced knowledge of a subset of analytical approaches (ex. statistics, predictive modeling, visual analytics) and the desire to continually learn and grow your analytical skillset
Ability to work with structured and unstructured data
Excellent communication skills with an ability to communicate complex matters in laymen’s terms
Ability to multi-task and handle numerous complex relationships at a time
Demonstrated ability to engage in effective joint problem-solving to address key challenges
Education and Experience Guidelines:
1+ years experience in pharmaceutical / biotechnology / healthcare / health IT industry
Masters degree, or equivalent experience, in Biostatistics, Epidemiology, Computer Science, Statistics, Mathematics, or related field with a substantial statistical component
At least 1 year experience in observational healthcare data analyses
Technical Experience Guidelines:
Advanced hands-on knowledge of R and/or Python
Working knowledge of SQL and relational databases
Experience analyzing data from traditional healthcare databases (electronic medical records, claims, etc) is preferred
Experience with Hadoop platforms (ex Cloudera, Hortonworks) and related “big data” technologies is preferred
Experience working in Cloud Computing environments (ex AWS, Azure, etc) is preferred
About Us
COMMITTED TO IMPROVING THE LIVES OF PATIENTS WORLDWIDE At Celgene, we seek to deliver truly innovative and life-changing drugs for our patients. Our vision as a company is to build a major global biopharmaceutical corporation while focusing on the discovery, the development, and the commercialization of products for the treatment of cancer and other severe, immune, inflammatory conditions.
"At Celgene, we seek to deliver truly innovative and life-changing drugs for our patients."
12/02/2019
Full time
The ideal candidate will be a hands-on data scientist, quantitative epidemiologist or statistician with experience in large-scale healthcare data analysis. S/he will have experience working with a variety of data sources, such as clinical trial data, electronic health record data, insurance claims data, and disease/patient registry data. The candidate must also have a demonstrated ability to actively listen, integrate input from diverse sources, and collaboratively translate medical or business questions into data and analysis requirements and a clear path forward.
Overall responsibilities include :
Directly participate in multiple analytics projects
Collaboratively develop analysis plans based on clinical or business questions, and lead their execution through the use of existing analytic approaches or the development of novel ones.
Interpret data analysis results in clinical or business context, and articulate the implications of the results to the business function
Represent the IKU Data Sciences group and its capabilities in meetings with nontechnical peers
Work in a fast-paced multidisciplinary dynamic environment, and as necessary create examples, prototypes, demonstrations to help the business better understand innovative solutions
Collaborate with team members to meet project checkpoints and accomplish team objectives
Key competencies, skills, and attributes:
Advanced knowledge of a subset of analytical approaches (ex. statistics, predictive modeling, visual analytics) and the desire to continually learn and grow your analytical skillset
Ability to work with structured and unstructured data
Excellent communication skills with an ability to communicate complex matters in laymen’s terms
Ability to multi-task and handle numerous complex relationships at a time
Demonstrated ability to engage in effective joint problem-solving to address key challenges
Education and Experience Guidelines:
1+ years experience in pharmaceutical / biotechnology / healthcare / health IT industry
Masters degree, or equivalent experience, in Biostatistics, Epidemiology, Computer Science, Statistics, Mathematics, or related field with a substantial statistical component
At least 1 year experience in observational healthcare data analyses
Technical Experience Guidelines:
Advanced hands-on knowledge of R and/or Python
Working knowledge of SQL and relational databases
Experience analyzing data from traditional healthcare databases (electronic medical records, claims, etc) is preferred
Experience with Hadoop platforms (ex Cloudera, Hortonworks) and related “big data” technologies is preferred
Experience working in Cloud Computing environments (ex AWS, Azure, etc) is preferred
About Us
COMMITTED TO IMPROVING THE LIVES OF PATIENTS WORLDWIDE At Celgene, we seek to deliver truly innovative and life-changing drugs for our patients. Our vision as a company is to build a major global biopharmaceutical corporation while focusing on the discovery, the development, and the commercialization of products for the treatment of cancer and other severe, immune, inflammatory conditions.
"At Celgene, we seek to deliver truly innovative and life-changing drugs for our patients."
Senior Data Scientist - Recommendation Engine
Darwin are partnered with a leading Travel Company based in Geneva who are currently looking for a Senior Data Scientist on a 6 month initial contract to help define the architecture and develop the proof of concept on their latest project, a recommendation engine on their website.
The ideal Data Scientist will be able to provide examples of successful projects they have worked on building recommendation engines.
This is an English speaking project offering 2 days a week remote and offers a fantastic opportunity to work with a globally recognised leader in the travel market.
Please contact me with an updated CV, your availability and daily rate expectations to ryan.green@darwinrecruitment.com
12/02/2019
Full time
Senior Data Scientist - Recommendation Engine
Darwin are partnered with a leading Travel Company based in Geneva who are currently looking for a Senior Data Scientist on a 6 month initial contract to help define the architecture and develop the proof of concept on their latest project, a recommendation engine on their website.
The ideal Data Scientist will be able to provide examples of successful projects they have worked on building recommendation engines.
This is an English speaking project offering 2 days a week remote and offers a fantastic opportunity to work with a globally recognised leader in the travel market.
Please contact me with an updated CV, your availability and daily rate expectations to ryan.green@darwinrecruitment.com
My client, is a global data & analytics consultancy with a key focus on deriving solutions in the broad fields of Business Intelligence, Data Analytics, Artificial Intelligence and driving business performance. They're data setup is diversified, scaling heavily across the Engineering, Analytics and Data Science space. As part of the next phase of their growth they're looking to grow and scale the Data Analytics team to work in tandem with their Engineering/Data Science teams to offer a consolidated solutions to their clients across various industries (Finance, Automotive, Travel and more).
Responsibilities:
Prepare and implement POC workshops, training and project organisation particularly utilising Microsoft Data, BI & Analytics services).
Deliver project management activities - Creating project expense estimates, projects and resource planning.
Manage and cleanse data making sure of the validity and quality for varying client requirements.
Provide collaboration with Data Scientists and Engineering teams enabling Machine Learning and advanced analytics projects.
Requirements:
Passionate about building analytics solutions and working closely with customers.
Background in implementing cloud platforms (Microsoft Azure, AWS)
Deep technical knowledge in Microsoft SQL, Power BI, SQL, DWH, DataLake or similar technologies.
Understanding and ability to work in a team, management skills and ability to liaise with stakeholders.
Deep knowledge of cloud technologies including Data streaming, Machine Learning and Big Data topics.
German and English speaking.
Willingness to travel regularly.
If you're working as a Data specialist looking for that next step up, working on state of the art technologies across various industries and providing bespoke solutions to all types of companies do get in touch at Daniel.Neaves@darwinrecruitment.com along with your CV and a suitable time to speak.
12/02/2019
Full time
My client, is a global data & analytics consultancy with a key focus on deriving solutions in the broad fields of Business Intelligence, Data Analytics, Artificial Intelligence and driving business performance. They're data setup is diversified, scaling heavily across the Engineering, Analytics and Data Science space. As part of the next phase of their growth they're looking to grow and scale the Data Analytics team to work in tandem with their Engineering/Data Science teams to offer a consolidated solutions to their clients across various industries (Finance, Automotive, Travel and more).
Responsibilities:
Prepare and implement POC workshops, training and project organisation particularly utilising Microsoft Data, BI & Analytics services).
Deliver project management activities - Creating project expense estimates, projects and resource planning.
Manage and cleanse data making sure of the validity and quality for varying client requirements.
Provide collaboration with Data Scientists and Engineering teams enabling Machine Learning and advanced analytics projects.
Requirements:
Passionate about building analytics solutions and working closely with customers.
Background in implementing cloud platforms (Microsoft Azure, AWS)
Deep technical knowledge in Microsoft SQL, Power BI, SQL, DWH, DataLake or similar technologies.
Understanding and ability to work in a team, management skills and ability to liaise with stakeholders.
Deep knowledge of cloud technologies including Data streaming, Machine Learning and Big Data topics.
German and English speaking.
Willingness to travel regularly.
If you're working as a Data specialist looking for that next step up, working on state of the art technologies across various industries and providing bespoke solutions to all types of companies do get in touch at Daniel.Neaves@darwinrecruitment.com along with your CV and a suitable time to speak.
For a project at client in Basel, we are looking for an experienced Data Engineer – ETL / Python.
QUALIFIKATIONEN
Several years’ experience in Data Engineering with ETL and Python
Well versed with Databricks and/or Apache Spark
Experinces in implementing ETL processes to standardize and automate data movement transformation
Deep understanding of agile project and development methods
Experience in data modeling and handling large amounts of data - solid knowledge of SQL
Strong problem solving and analytical skills with the ability to work with global project teams
Fluent in English, German is a big advantage
AUFGABEN
Design and implement the technical processes (data pipelines) to ingest, catalog, curate, unify, and integrate data
Will need to collaborate with scientists, data managers, and technology teams to document and leverage their understanding of the data and actively participate in agile work practices
Adopt and improve on the strong engineering practices followed by technology teams
Deliver clear, maintainable, and well-tested code in a timely manner
12/02/2019
Full time
For a project at client in Basel, we are looking for an experienced Data Engineer – ETL / Python.
QUALIFIKATIONEN
Several years’ experience in Data Engineering with ETL and Python
Well versed with Databricks and/or Apache Spark
Experinces in implementing ETL processes to standardize and automate data movement transformation
Deep understanding of agile project and development methods
Experience in data modeling and handling large amounts of data - solid knowledge of SQL
Strong problem solving and analytical skills with the ability to work with global project teams
Fluent in English, German is a big advantage
AUFGABEN
Design and implement the technical processes (data pipelines) to ingest, catalog, curate, unify, and integrate data
Will need to collaborate with scientists, data managers, and technology teams to document and leverage their understanding of the data and actively participate in agile work practices
Adopt and improve on the strong engineering practices followed by technology teams
Deliver clear, maintainable, and well-tested code in a timely manner
For a project at our client ‘s site, an international bank based in Zurich, we are looking for a IT Business Analyst – Credit Risk Data Integration. In this project, a compliant infrastructure has been built and processes are set up to report worldwide PB (Private Banking) Credit Risk Data on the granular level into a harmonized dashboard. The candidate will now perform Data Quality analysis as a basis for automated integration on further reporting requirements.
QUALIFIKATIONEN
5-7 years of business requirements analysis and change experience within a large financial institution
Excellent understanding of credit risk discipline from data quality and data analysis perspective
Experience with credit risk data integration and strong track record of defining and documenting effective and comprehensive business rules for data integration
Familiarity with business processes, financial products, credit risk management and regulatory requirements (e.g. BCBS239, etc)
Strong Excel (Pivot tables) and SQL skills (writing scripts)
Fluent in English (written/verbal), German is an advantage
AUFGABEN
Close engagement with local Risk Managers as well as Risk & Finance Data Provisioning, and other Risk- Change functions to understand how the local business is booked in the local system and create according business rules for integration into the central data vault
Supporting local Credit Risk Managers and Risk & Finance Data Provisioning BAU team as second level for month end closing and root cause analysis (incl. training where necessary)
Perform Data Quality analysis as basis for later automated integration
12/02/2019
Full time
For a project at our client ‘s site, an international bank based in Zurich, we are looking for a IT Business Analyst – Credit Risk Data Integration. In this project, a compliant infrastructure has been built and processes are set up to report worldwide PB (Private Banking) Credit Risk Data on the granular level into a harmonized dashboard. The candidate will now perform Data Quality analysis as a basis for automated integration on further reporting requirements.
QUALIFIKATIONEN
5-7 years of business requirements analysis and change experience within a large financial institution
Excellent understanding of credit risk discipline from data quality and data analysis perspective
Experience with credit risk data integration and strong track record of defining and documenting effective and comprehensive business rules for data integration
Familiarity with business processes, financial products, credit risk management and regulatory requirements (e.g. BCBS239, etc)
Strong Excel (Pivot tables) and SQL skills (writing scripts)
Fluent in English (written/verbal), German is an advantage
AUFGABEN
Close engagement with local Risk Managers as well as Risk & Finance Data Provisioning, and other Risk- Change functions to understand how the local business is booked in the local system and create according business rules for integration into the central data vault
Supporting local Credit Risk Managers and Risk & Finance Data Provisioning BAU team as second level for month end closing and root cause analysis (incl. training where necessary)
Perform Data Quality analysis as basis for later automated integration
