Writing the future. Together.
Avaloq is a value-driven fast-paced fintech company and we are committed to develop the banking technology of tomorrow. Leading banks and wealth managers in all major financial centres rely on our software and services, and this unique community grows every day.
Your team
At Avaloq Sourcing Switzerland and Liechtenstein, we are looking for experienced candidates with strong banking IT background to reinforce our team: Data Migration. Within this role, you will be closely working with customers, team colleagues, project managers, senior business and IT heads to define and execute data migration activities for the onboarding of new bank into our core system.
Your mission
Coordinate migrations activities among many stakeholders (Internal and external resources)
Define Data Migration strategy in close collaboration with the client and other stakeholders
Strongly collaborate with client for data Mapping & transformation tasks
Implement Data Migration Framework to fulfil DM project’s requirement
Execute migration tasks covering also cutover activities
What you need
MSc or higher degree in Computer Science/Engineering/ Mathematics & Physics or similar Banking Education
Good management skills and problem-solving attitude. Team working is a must.
Good programming skills are desired: PL/SQL, Store procedures and good knowledge of Oracle database.
Data analysis and quality verification with strong attention to details
Practical competences in project management in terms of coordination and content
You will get extra points for the following
Knowledge of Avaloq core system
Experience in migration projects
Italian, German or French are considered as a plus
Now let’s talk about perks and compensation
With our compensation model, we want to share the success of the company with all our employees. We offer competitive base salaries and if you prove yourself as a super-star, you might be entitled to an extraordinary achievement reward.
Plece of work
Your work location: Bioggio (preferred) or Zurich (presence in Bioggio 1 day per week should be considered)
Don’t be shy – apply!
04/10/2019
Full time
Writing the future. Together.
Avaloq is a value-driven fast-paced fintech company and we are committed to develop the banking technology of tomorrow. Leading banks and wealth managers in all major financial centres rely on our software and services, and this unique community grows every day.
Your team
At Avaloq Sourcing Switzerland and Liechtenstein, we are looking for experienced candidates with strong banking IT background to reinforce our team: Data Migration. Within this role, you will be closely working with customers, team colleagues, project managers, senior business and IT heads to define and execute data migration activities for the onboarding of new bank into our core system.
Your mission
Coordinate migrations activities among many stakeholders (Internal and external resources)
Define Data Migration strategy in close collaboration with the client and other stakeholders
Strongly collaborate with client for data Mapping & transformation tasks
Implement Data Migration Framework to fulfil DM project’s requirement
Execute migration tasks covering also cutover activities
What you need
MSc or higher degree in Computer Science/Engineering/ Mathematics & Physics or similar Banking Education
Good management skills and problem-solving attitude. Team working is a must.
Good programming skills are desired: PL/SQL, Store procedures and good knowledge of Oracle database.
Data analysis and quality verification with strong attention to details
Practical competences in project management in terms of coordination and content
You will get extra points for the following
Knowledge of Avaloq core system
Experience in migration projects
Italian, German or French are considered as a plus
Now let’s talk about perks and compensation
With our compensation model, we want to share the success of the company with all our employees. We offer competitive base salaries and if you prove yourself as a super-star, you might be entitled to an extraordinary achievement reward.
Plece of work
Your work location: Bioggio (preferred) or Zurich (presence in Bioggio 1 day per week should be considered)
Don’t be shy – apply!
Specialist Biostatistician
“Market-leading products and headline-making projects”
Nestlé Research, Lausanne, Switzerland Undefined period of time contract, act. rate 100%
Nestlé Research is based in Lausanne, Switzerland and employs approximately 800 people. It consists of four major research institutes: Health Sciences, Material Sciences, Food Safety & Analytical Sciences and Packaging Sciences. Nestlé Research combines fundamental science at the highest level, high-end analytical platforms leveraged by all research teams, and strong prototyping capabilities to accelerate the translation of science into innovation. Nestlé Research published around 1,000 scientific publications in peer review journals over the last five years, and files about 80 patents every year. Nestlé Research collaborates with approximately 100 universities or research institutes around the world. Learn more about Nestlé Research at www.nestle.com/randd.
As a biostatistician, you will be responsible for all statistical tasks of individual clinical trials as well as global clinical projects. Demonstrating scientific curiosity and good communication skills, you will propose optimal statistical designs and provide statistical input into the trial protocols, including preparation of the statistical analysis plan. You will also analyze and report results of clinical trials and have the opportunity to present the clinical results to various Nestlé stakeholders. This role would give you the opportunity to collaborate with different functions (clinical project management, data management, medical director, scientists and quality management) and will allow you to broaden your knowledge in clinical development & operations, R&D and various Nestlé businesses.
Key responsibilities
Coordinate regular and complex statistical tasks with high level of autonomy and ensure the activities performed throughout a trial are compliant with current guidelines and processes
Evaluate scientific background knowledge and provide input in the evidence development strategy of projects (including design, sample size, modelling/simulations)
Provide statistical input for protocol writing and review of clinical study documents
Write and review statistical analysis plans and ensure agreement with protocol whilst also ensuring their feasibility, efficiency, validity and guidelines-adherence (GCP)
Analyse clinical data and report statistical results
Required Profile
Training in a field relevant to Biostatistics (MSc or PhD)
Minimum 5 years of experience in academia or industry as a Biostatistician
Comprehensive knowledge of biostatistics in all phases of clinical development, in particular in planning, execution, analysis and reporting of clinical studies
Proficiency with various statistical methodologies applied in clinical trials and knowledge of regulatory guidance
Strong analytical and organizational skills
Ability to work on multiple assignments at the same time
Good communication skills towards both scientific and business partners
Show us that you have the capacity to take initiatives and that you understand the business environment. Your curiosity and your motivation will contribute to your and our success.
If you are interested in joining Nestlé as a Biostatistician, please apply in English at https://jobs.nestle.com/en/home.
The Nestlé Group is the world’s largest food and beverage company with 91.4 billion Swiss Francs in sales in 2018. It is present in 190 countries around the world, has 413 factories and its 308,000 employees are committed to Nestlé’s purpose of enhancing quality of life and contributing to a healthier future. Nestlé offers a wide portfolio of products and services for people and their pets throughout their lives. Its more than 2000 brands range from global icons like Nescafé or Nespresso to local favourites. Company performance is driven by its Nutrition, Health and Wellness strategy. Nestlé is based in the Swiss town of Vevey where it was founded more than 150 years ago. Learn more about our Group and reasons to join us on www.nestle.com.
02/10/2019
Full time
Specialist Biostatistician
“Market-leading products and headline-making projects”
Nestlé Research, Lausanne, Switzerland Undefined period of time contract, act. rate 100%
Nestlé Research is based in Lausanne, Switzerland and employs approximately 800 people. It consists of four major research institutes: Health Sciences, Material Sciences, Food Safety & Analytical Sciences and Packaging Sciences. Nestlé Research combines fundamental science at the highest level, high-end analytical platforms leveraged by all research teams, and strong prototyping capabilities to accelerate the translation of science into innovation. Nestlé Research published around 1,000 scientific publications in peer review journals over the last five years, and files about 80 patents every year. Nestlé Research collaborates with approximately 100 universities or research institutes around the world. Learn more about Nestlé Research at www.nestle.com/randd.
As a biostatistician, you will be responsible for all statistical tasks of individual clinical trials as well as global clinical projects. Demonstrating scientific curiosity and good communication skills, you will propose optimal statistical designs and provide statistical input into the trial protocols, including preparation of the statistical analysis plan. You will also analyze and report results of clinical trials and have the opportunity to present the clinical results to various Nestlé stakeholders. This role would give you the opportunity to collaborate with different functions (clinical project management, data management, medical director, scientists and quality management) and will allow you to broaden your knowledge in clinical development & operations, R&D and various Nestlé businesses.
Key responsibilities
Coordinate regular and complex statistical tasks with high level of autonomy and ensure the activities performed throughout a trial are compliant with current guidelines and processes
Evaluate scientific background knowledge and provide input in the evidence development strategy of projects (including design, sample size, modelling/simulations)
Provide statistical input for protocol writing and review of clinical study documents
Write and review statistical analysis plans and ensure agreement with protocol whilst also ensuring their feasibility, efficiency, validity and guidelines-adherence (GCP)
Analyse clinical data and report statistical results
Required Profile
Training in a field relevant to Biostatistics (MSc or PhD)
Minimum 5 years of experience in academia or industry as a Biostatistician
Comprehensive knowledge of biostatistics in all phases of clinical development, in particular in planning, execution, analysis and reporting of clinical studies
Proficiency with various statistical methodologies applied in clinical trials and knowledge of regulatory guidance
Strong analytical and organizational skills
Ability to work on multiple assignments at the same time
Good communication skills towards both scientific and business partners
Show us that you have the capacity to take initiatives and that you understand the business environment. Your curiosity and your motivation will contribute to your and our success.
If you are interested in joining Nestlé as a Biostatistician, please apply in English at https://jobs.nestle.com/en/home.
The Nestlé Group is the world’s largest food and beverage company with 91.4 billion Swiss Francs in sales in 2018. It is present in 190 countries around the world, has 413 factories and its 308,000 employees are committed to Nestlé’s purpose of enhancing quality of life and contributing to a healthier future. Nestlé offers a wide portfolio of products and services for people and their pets throughout their lives. Its more than 2000 brands range from global icons like Nescafé or Nespresso to local favourites. Company performance is driven by its Nutrition, Health and Wellness strategy. Nestlé is based in the Swiss town of Vevey where it was founded more than 150 years ago. Learn more about our Group and reasons to join us on www.nestle.com.
Your role:
Do you want to work on the cutting edge? Do you want to expand your knowledge and abilities? Are you passionate about data? Have you been working in similar positions before? We’re looking for someone like you who can help us: - combine Big Data Engineering and DevOps - collaborate with data scientists, data engineers, DevOps, product owners and business partners to design end-to-end solutions - control and monitor the platform performance and capacity - implement core Big Data platform capabilities - engage in the development of a new platform
Your team:
You’ll be working in close association the Advanced Analytics (Big Data Analytics) team in Zurich/Manno. We offer you a highly motivated and experienced team with in-depth knowledge about Advanced Analytics, building models and algorithms. Our goal is to enable the UBS Business’ for a digital and analytical future! You'll participate in all phases of the development lifecycle and are responsible to design, document and maintain innovative applications. This role include significant responsibilities and development possibilities.
Your expertise:
- Bachelor's degree in computer science, computer engineering, management information systems, related discipline or equivalent experience - at least 2-4 years of experience with integration of Hadoop and 3rd party software products in existing IT ecosystem - at least 2-4 years of experience with container schedulers like YARN and /or Kubernetes - familiar with specific characteristics of the Hortonworks / Cloudera stack - several years of experience with automated deploy tools like Ansible - experience with Spark, Hive (LLAP), Kafka or NiFi is a plus - Experience with IBM DB2 is a plus - Experienced in implementing complex security requirements in the financial industry is a plus - Expert understanding of ETL principles and how to apply them within Hadoop is a plus - good abstraction and conceptual skills are combined with a self-reliant, team-minded, communicative, proactive personality You are: - a passionate Big Data Engineer and interested in new development languages as well as new technologies - proactive, looking for creative and innovative solutions - a flexible, open-minded and cooperative person - interested in working in a fast-paced international environment as part of an international team
20/09/2019
Full time
Your role:
Do you want to work on the cutting edge? Do you want to expand your knowledge and abilities? Are you passionate about data? Have you been working in similar positions before? We’re looking for someone like you who can help us: - combine Big Data Engineering and DevOps - collaborate with data scientists, data engineers, DevOps, product owners and business partners to design end-to-end solutions - control and monitor the platform performance and capacity - implement core Big Data platform capabilities - engage in the development of a new platform
Your team:
You’ll be working in close association the Advanced Analytics (Big Data Analytics) team in Zurich/Manno. We offer you a highly motivated and experienced team with in-depth knowledge about Advanced Analytics, building models and algorithms. Our goal is to enable the UBS Business’ for a digital and analytical future! You'll participate in all phases of the development lifecycle and are responsible to design, document and maintain innovative applications. This role include significant responsibilities and development possibilities.
Your expertise:
- Bachelor's degree in computer science, computer engineering, management information systems, related discipline or equivalent experience - at least 2-4 years of experience with integration of Hadoop and 3rd party software products in existing IT ecosystem - at least 2-4 years of experience with container schedulers like YARN and /or Kubernetes - familiar with specific characteristics of the Hortonworks / Cloudera stack - several years of experience with automated deploy tools like Ansible - experience with Spark, Hive (LLAP), Kafka or NiFi is a plus - Experience with IBM DB2 is a plus - Experienced in implementing complex security requirements in the financial industry is a plus - Expert understanding of ETL principles and how to apply them within Hadoop is a plus - good abstraction and conceptual skills are combined with a self-reliant, team-minded, communicative, proactive personality You are: - a passionate Big Data Engineer and interested in new development languages as well as new technologies - proactive, looking for creative and innovative solutions - a flexible, open-minded and cooperative person - interested in working in a fast-paced international environment as part of an international team
Your role:
Does quantitative modelling excite you? Are you an innovative thinker and interested in risk topics? Do you know how to work well within a team to develop and deliver high quality solutions? Then we are looking for you to: – Develop methodologies for quantitative modelling of the probability of default (PD) and loss-given-default (LGD) for our Lombard portfolio for UBS Group – Use techniques from quantitative risk management, financial mathematics and econometrics to develop and change existing risk models. – Bring innovation to the Risk Methodology Group in the development, refinement and implementation of risk models – Implement prototype models in R, MatLab or SAS, before being embedded into the productive risk infrastructure – Collaborate with risk officers, business managers, Risk IT, Change Operations and other stakeholders supporting the proper implementation and execution of risk models and support regulatory exercises
Your team :
You’ll be working within the PD & LGD Lombard Credit Methodology team in Zürich, Switzerland. Your main responsibilities will be to develop and maintain UBS’s Advanced Internal Rating Based models covering our Lombard business. The framework captures all Lombard businesses world-wide ranging from retail clients to complex structured lending solutions for large UHNW clients. You will be working with key stakeholders within our Global Wealth Management business on both the risk and the business side to deliver state of the art methodologies and support new business initiatives.
Your expertise :
– A Master's degree in an applied quantitative discipline (e.g. Econometrics, Statistics, Financial Engineering, Economics, Finance) – Ideally 1-3 years' of experience in credit risk modelling or other areas of risk methodology and/or model development – Sound knowledge of statistical and econometric methods and their application – Strong IT / programming skills. Previous experience and ability to implement models in a programming language (e.g., R, MatLab) is essential and experience with handling large datasets is a plus – Strong analytical, conceptual and organizational skills with the ability to work under tight deadlines – Interest in placing model development activities within the bigger picture of the organisation – Ability to influence and convince key stakeholders within the model development process
09/09/2019
Full time
Your role:
Does quantitative modelling excite you? Are you an innovative thinker and interested in risk topics? Do you know how to work well within a team to develop and deliver high quality solutions? Then we are looking for you to: – Develop methodologies for quantitative modelling of the probability of default (PD) and loss-given-default (LGD) for our Lombard portfolio for UBS Group – Use techniques from quantitative risk management, financial mathematics and econometrics to develop and change existing risk models. – Bring innovation to the Risk Methodology Group in the development, refinement and implementation of risk models – Implement prototype models in R, MatLab or SAS, before being embedded into the productive risk infrastructure – Collaborate with risk officers, business managers, Risk IT, Change Operations and other stakeholders supporting the proper implementation and execution of risk models and support regulatory exercises
Your team :
You’ll be working within the PD & LGD Lombard Credit Methodology team in Zürich, Switzerland. Your main responsibilities will be to develop and maintain UBS’s Advanced Internal Rating Based models covering our Lombard business. The framework captures all Lombard businesses world-wide ranging from retail clients to complex structured lending solutions for large UHNW clients. You will be working with key stakeholders within our Global Wealth Management business on both the risk and the business side to deliver state of the art methodologies and support new business initiatives.
Your expertise :
– A Master's degree in an applied quantitative discipline (e.g. Econometrics, Statistics, Financial Engineering, Economics, Finance) – Ideally 1-3 years' of experience in credit risk modelling or other areas of risk methodology and/or model development – Sound knowledge of statistical and econometric methods and their application – Strong IT / programming skills. Previous experience and ability to implement models in a programming language (e.g., R, MatLab) is essential and experience with handling large datasets is a plus – Strong analytical, conceptual and organizational skills with the ability to work under tight deadlines – Interest in placing model development activities within the bigger picture of the organisation – Ability to influence and convince key stakeholders within the model development process
Your role:
Your role duties will include development of the UBS AML data analytics program with particular focus on Client Risk Rating and Transaction Monitoring models, and it includes the following tasks: - Bring modeling and data analytics expertise to develop, implement, and execute the Client Risk Rating - Develop and enhance Client Risk Rating methodology and ensure its alignment with UBS Model Governance policies and model life cycle. - Develop and conduct verification of Model Performance and Monitoring Confirmation Concept - Conduct model stress tests, calibration and impact analysis - Implement the ongoing model performance assessment standards for AML transaction monitoring tools - Support the model validation submission when conducted MRMC. - Support Model Owner in keeping the model documentation up-to-date and also assist with remediation plans when issues identified during model validation. - When necessary , conduct detailed anbalysis /testing of all model components (conceptual , theoretical review, qualifying and quantifying all risk dimensions). - Ensure all model artifacts are up to date in model management repository (CPAS). Alert Model Owner and FCP head of validation to plausible model weaknesses.
Your team :
You will be working in the Risk Assessments and Analytics and FCP Model Governance teams within global Financial Crime Prevention function. We work as a gatekeeper in preventing money laundering (AML), terrorism financing, sanctions and corruption risks for the bank. Our role is to perform group level risk assessments, develop firm-wide analytics program, carry out data mining exercises, contribute as modeling experts and evaluate money laundering country risks.
Your expertise :
– a university degree (BS, MS or PhD) in quantitative discipline: Mathematics, computer science, physics, engineering or economics/econometrics. – Prior experience in AML domain is a plus – good data analytics skills (e.g. SQL, MS Access, excel etc.) – Experience with advance SQL data analytics functions is a plus – good programming skills (e.g. Visual Basic, Java, C, C++, python, R etc.) – experience with model development and calibration – experience with Machine Learning – good record keeping, report drafting and judgment skills (experience with Latex, R-Rmarkdown, R suave) – Ability to establish, contribute to or enhance existing framework is a plus – fluent English skills (oral & written); Knowledge of other languages and cultures is an advantage – think out-of-the-box and be creative – able to explain technical concepts in simple terms to facilitate collaboration – analyze a problem, take a view and propose solutions – team player with ability to make things happen and stick with an individual task – known for having a strong attention to detail and strong research capability
09/09/2019
Full time
Your role:
Your role duties will include development of the UBS AML data analytics program with particular focus on Client Risk Rating and Transaction Monitoring models, and it includes the following tasks: - Bring modeling and data analytics expertise to develop, implement, and execute the Client Risk Rating - Develop and enhance Client Risk Rating methodology and ensure its alignment with UBS Model Governance policies and model life cycle. - Develop and conduct verification of Model Performance and Monitoring Confirmation Concept - Conduct model stress tests, calibration and impact analysis - Implement the ongoing model performance assessment standards for AML transaction monitoring tools - Support the model validation submission when conducted MRMC. - Support Model Owner in keeping the model documentation up-to-date and also assist with remediation plans when issues identified during model validation. - When necessary , conduct detailed anbalysis /testing of all model components (conceptual , theoretical review, qualifying and quantifying all risk dimensions). - Ensure all model artifacts are up to date in model management repository (CPAS). Alert Model Owner and FCP head of validation to plausible model weaknesses.
Your team :
You will be working in the Risk Assessments and Analytics and FCP Model Governance teams within global Financial Crime Prevention function. We work as a gatekeeper in preventing money laundering (AML), terrorism financing, sanctions and corruption risks for the bank. Our role is to perform group level risk assessments, develop firm-wide analytics program, carry out data mining exercises, contribute as modeling experts and evaluate money laundering country risks.
Your expertise :
– a university degree (BS, MS or PhD) in quantitative discipline: Mathematics, computer science, physics, engineering or economics/econometrics. – Prior experience in AML domain is a plus – good data analytics skills (e.g. SQL, MS Access, excel etc.) – Experience with advance SQL data analytics functions is a plus – good programming skills (e.g. Visual Basic, Java, C, C++, python, R etc.) – experience with model development and calibration – experience with Machine Learning – good record keeping, report drafting and judgment skills (experience with Latex, R-Rmarkdown, R suave) – Ability to establish, contribute to or enhance existing framework is a plus – fluent English skills (oral & written); Knowledge of other languages and cultures is an advantage – think out-of-the-box and be creative – able to explain technical concepts in simple terms to facilitate collaboration – analyze a problem, take a view and propose solutions – team player with ability to make things happen and stick with an individual task – known for having a strong attention to detail and strong research capability
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
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 Python and/or R
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: Oct/Nov 2019 or upon agreement
Duration: 6 months or upon agreement
22/08/2019
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
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 Python and/or R
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: Oct/Nov 2019 or upon agreement
Duration: 6 months or upon agreement
Bei unserer Kundin herrscht eine sehr angenehme Arbeitsatmosphäre mit viel Drive. Ein junges Team treibt die Digitalisierungsprozesse in der Finanzbranche an und setzt diese für die hochstehende Kundschaft um. Was die Firma so erfolgreich macht, sind die motivierten Mitarbeiter, denn die grossen Gestaltungsmöglichkeiten inspirieren. Das ist aber noch nicht alles:
Flexible Arbeitszeiten
Ausflüge mit dem Team
Ein Auto steht den Mitarbeitern zum Ausleihen zur Verfügung
Nicht nur durch ein gutes Versicherungspaket sind die Mitarbeiter gut versorgt, sondern auch durch reichlich vorhandene Snacks und Drinks im Büro
Deinen Enthusiasmus kannst du bei potenziellen Kunden einsetzen, deren Bedürfnisse aufnehmen und die Anforderungen an die Data Science Produkte spezifizieren, sowie:
Arbeiten im Business Intelligence, Data Science, und Machine Learning Umfeld, wofür du entsprechende Erfahrung mitbringst sowie in agilen Teams
Weiterentwicklung des Product Roadmaps entsprechend den Anforderungen und Bedingungen der Finanzindustrie
Als Software Engineer Hands On Mitarbeit im Coding und Analyse mit SQL und Python
Und was bringst du mit? Ergreifst du gerne die Initiative, bist analytisch und organisiert? Dann passt dies schon mal gut. Aber vor allem solltest du den Kundenkontakt schätzen, eine Leidenschaft für Datenlösungen mitbringen sowie Kenntnisse der Finanzindustrie. Dein Einsatz wäre in der DACH Region vorgesehen, wofür Deutsch als Muttersprache gewünscht ist. 10 Schritte zu deinem Traumjob! Schritt 1: sende deine Unterlagen an jringger(at)twincap.ch oder ruf mich an unter +41 44 810 60 00 Schritt 2 - 10: erledigt die TwinCap dann für dich
16/10/2019
Full time
Bei unserer Kundin herrscht eine sehr angenehme Arbeitsatmosphäre mit viel Drive. Ein junges Team treibt die Digitalisierungsprozesse in der Finanzbranche an und setzt diese für die hochstehende Kundschaft um. Was die Firma so erfolgreich macht, sind die motivierten Mitarbeiter, denn die grossen Gestaltungsmöglichkeiten inspirieren. Das ist aber noch nicht alles:
Flexible Arbeitszeiten
Ausflüge mit dem Team
Ein Auto steht den Mitarbeitern zum Ausleihen zur Verfügung
Nicht nur durch ein gutes Versicherungspaket sind die Mitarbeiter gut versorgt, sondern auch durch reichlich vorhandene Snacks und Drinks im Büro
Deinen Enthusiasmus kannst du bei potenziellen Kunden einsetzen, deren Bedürfnisse aufnehmen und die Anforderungen an die Data Science Produkte spezifizieren, sowie:
Arbeiten im Business Intelligence, Data Science, und Machine Learning Umfeld, wofür du entsprechende Erfahrung mitbringst sowie in agilen Teams
Weiterentwicklung des Product Roadmaps entsprechend den Anforderungen und Bedingungen der Finanzindustrie
Als Software Engineer Hands On Mitarbeit im Coding und Analyse mit SQL und Python
Und was bringst du mit? Ergreifst du gerne die Initiative, bist analytisch und organisiert? Dann passt dies schon mal gut. Aber vor allem solltest du den Kundenkontakt schätzen, eine Leidenschaft für Datenlösungen mitbringen sowie Kenntnisse der Finanzindustrie. Dein Einsatz wäre in der DACH Region vorgesehen, wofür Deutsch als Muttersprache gewünscht ist. 10 Schritte zu deinem Traumjob! Schritt 1: sende deine Unterlagen an jringger(at)twincap.ch oder ruf mich an unter +41 44 810 60 00 Schritt 2 - 10: erledigt die TwinCap dann für dich
A (Global) Data Product Owner (m/f) role has become available at an International organization leader in their field.
(Global) Data Product Owner (m/f) Zurich
Key Responsibilities:
Overall Data Product Management responsibility for the Group acting as the main interface and connection across department involved with Data related projects
Strong involvement on Data Strategy topics for the Group
Ensure projects delivery is meeting the highest quality and standards
Requirements Lead for the data teams
With a strong track record in Data related Product Management and technical data background you have:
Profile:
Experienced and knowledgeable on topics such as Digital Analytics, DWH/DB
Data Science, Machine Learning and Artificial Intelligence a plus
Project Management (entire project life cycle), Business analysis experience a plus
Strong team player and leader with excellent interpersonal skills
Technical education desired (BI, DWH, Data Science etc…)
EU/Swiss work permit
Fluency in English required, other languages are a plus
Apply for the (Global) Data Product Owner (m/f) position if you believe this is your next challenge.
A (Global) Data Product Owner (m/f) role has become available at an International organization leader in their field.
16/10/2019
Full time
A (Global) Data Product Owner (m/f) role has become available at an International organization leader in their field.
(Global) Data Product Owner (m/f) Zurich
Key Responsibilities:
Overall Data Product Management responsibility for the Group acting as the main interface and connection across department involved with Data related projects
Strong involvement on Data Strategy topics for the Group
Ensure projects delivery is meeting the highest quality and standards
Requirements Lead for the data teams
With a strong track record in Data related Product Management and technical data background you have:
Profile:
Experienced and knowledgeable on topics such as Digital Analytics, DWH/DB
Data Science, Machine Learning and Artificial Intelligence a plus
Project Management (entire project life cycle), Business analysis experience a plus
Strong team player and leader with excellent interpersonal skills
Technical education desired (BI, DWH, Data Science etc…)
EU/Swiss work permit
Fluency in English required, other languages are a plus
Apply for the (Global) Data Product Owner (m/f) position if you believe this is your next challenge.
A (Global) Data Product Owner (m/f) role has become available at an International organization leader in their field.
Zur Verstärkung unseres Teams in unserer Niederlassung Basel suchen wir eine motivierte, selbständige und belastbare Persönlichkeit. Als Data Science und Big Data Consultant
konzipierst, designst und realisierst Du anspruchsvolle Aufgaben im Bereich Data Science und Big Data
unterstützt Du unsere Kunden direkt vor Ort in vielen Phasen des gesamten Data Sciences Stacks
bringst Du Erfahrung mit in den Bereichen Graph-Datenbanken, SemanticWeb sowie Big Data Tools und verteilten Systemen (Hortonworks HDP oder Cloudera CDH, Spark, Kafka, StreamSets, HBase)
bist Du fit in einer der Programmiersprachen Java, Python oder Scala und hast Grundkenntnisse in den anderen beiden
hast Du bei Applikations- und Plattform-Architekturen bereits gute Erfahrungen sammeln können
brings Du von Vorteil Kenntnisse in On-Premise und Cloud Umgebungen mit (Microsoft Azure und Amazon AWS)
Was wir bieten
Über Trivadis
650 Kolleginnen und Kollegen an 16 Standorten in 5 Ländern. Spezialisten, die neugierig sind und Lust haben, die digitale Zukunft zu gestalten. Macher, die ihre Projekte mit technischer Kompetenz und Kreativität voranbringen. Individuen, die ihre Freiheit schätzen und ihre Arbeit selbstverantwortlich organisieren. Menschen, die sich als Team verstehen, gegenseitig unterstützen und voneinander lernen. Du, wenn Du Lust hast, gemeinsam mit uns Erfolge zu erzielen und zu feiern.mehr zu Trivadis
16/10/2019
Full time
Zur Verstärkung unseres Teams in unserer Niederlassung Basel suchen wir eine motivierte, selbständige und belastbare Persönlichkeit. Als Data Science und Big Data Consultant
konzipierst, designst und realisierst Du anspruchsvolle Aufgaben im Bereich Data Science und Big Data
unterstützt Du unsere Kunden direkt vor Ort in vielen Phasen des gesamten Data Sciences Stacks
bringst Du Erfahrung mit in den Bereichen Graph-Datenbanken, SemanticWeb sowie Big Data Tools und verteilten Systemen (Hortonworks HDP oder Cloudera CDH, Spark, Kafka, StreamSets, HBase)
bist Du fit in einer der Programmiersprachen Java, Python oder Scala und hast Grundkenntnisse in den anderen beiden
hast Du bei Applikations- und Plattform-Architekturen bereits gute Erfahrungen sammeln können
brings Du von Vorteil Kenntnisse in On-Premise und Cloud Umgebungen mit (Microsoft Azure und Amazon AWS)
Was wir bieten
Über Trivadis
650 Kolleginnen und Kollegen an 16 Standorten in 5 Ländern. Spezialisten, die neugierig sind und Lust haben, die digitale Zukunft zu gestalten. Macher, die ihre Projekte mit technischer Kompetenz und Kreativität voranbringen. Individuen, die ihre Freiheit schätzen und ihre Arbeit selbstverantwortlich organisieren. Menschen, die sich als Team verstehen, gegenseitig unterstützen und voneinander lernen. Du, wenn Du Lust hast, gemeinsam mit uns Erfolge zu erzielen und zu feiern.mehr zu Trivadis
Req #: 1900940 Location: Couvet, Neuchatel, Switzerland Job Category: Quality Work Location: Rue du Pré-Jorat 14 2108 Organization: Quality Control Employee Status: Full-time Job Type: Regular Other Locations: Switzerland-Neuchatel-Boudry
Purpose and Scope of Position The Scientist is responsible for method transfers, method improvement, remediation, method validation/verification and/or troubleshooting of commercial products ( Active Pharmaceutical Ingredient and drug product) within Quality Control laboratories. Serves as a Subject Matter Expert interfacing with Regulatory Agencies and Contract Service Providers as a technical expert. The Scientist is responsible for investigating commercial product complaints/issues at all manufacturing sites, domestic, international and Contract Manufacturing Organizations. The position requires proficiency working with small molecules or biologics in oral dosage and/or sterile injectables. Duties and Responsibilities
Responsible for monitoring and managing the life cycle of assigned analytical methods.
Design and perform experiments to evaluate analytical methods associated with commercial products for feasibility, method improvement, remediation and/or troubleshooting.
Writes formal analytical documents such as validation protocols, method transfer protocols and investigations reports.
Conducts analytical method transfer to internal and/or external commercial manufacturing/testing facilities.
Evaluate and participate in the review and implementation of compendia changes with impact to analytical methods.
Ability to troubleshoot method and/or equipment issues to the root cause.
Capable of resolving non-routine laboratory issues and problems expeditiously
Interacts with CSPs, reviews raw data generated by CSPs and supports their lab investigations as needed.
Ability to write analytical method risk assessments or regulatory impact assessment statements (RIAS).
Participates in audits and interacts and answers questions from Health Authorities
Participate in the selection/implementation of laboratory equipment and software
Participate in the management of global reference standards and controls (lifecycle for stability and routine usage)
Support the approval and the qualification process
Review raw data (Quality Control peer review)
Participate in the inspection/audit at Contract Service Providers
Provide support to Service Providers during Health Authority inspections
Subject Matter expert for internal/external audits
Develop strategies for method transfer and implementation for new products and excipients
Perform QC oversight of commercial CSP’s
Acts as a functional area expert
Maintain qualification status on aseptic gowning, sterility testing, BET, etc.
Advanced knowledge and interpretation of cGMP.
Education and Experience
min B.S. Chemistry, Biochemistry, or relevant discipline
5 years of relevant work experience required, preferably in a Pharmaceutical environment.
Proficiency in English (Level C1 minimum) and in French (B2 minimum) is mandatory
Excellent communication skills.
problem-solving
Experience defending validation principles and processes in internal and external audits.
Good knowledge of Active Pharmaceutical Ingredient testing and their issues.
Knowledge of international regulatory requirements
Project management skills.
knowledge of Microsoft Word, Outlook, and Excel, Project, and Visio.
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." There are more than 300 clinical trials at major medical centers using compounds from Celgene. Investigational compounds are being studied for patients with incurable hematological and solid tumor cancers, including multiple myeloma, myelodysplastic syndromes, chronic lymphocytic leukemia (CLL), non-Hodgkin’s lymphoma (NHL), triple-negative breast cancer and pancreatic cancer. As committed as we are to clinical accomplishment, we are equally committed to patient support, which is a guiding principle at Celgene. We believe all who can benefit from our discoveries should have the opportunity to do so. Celgene puts patients first with industry-leading programs that provide information, support and access to our innovative therapies.
16/10/2019
Full time
Req #: 1900940 Location: Couvet, Neuchatel, Switzerland Job Category: Quality Work Location: Rue du Pré-Jorat 14 2108 Organization: Quality Control Employee Status: Full-time Job Type: Regular Other Locations: Switzerland-Neuchatel-Boudry
Purpose and Scope of Position The Scientist is responsible for method transfers, method improvement, remediation, method validation/verification and/or troubleshooting of commercial products ( Active Pharmaceutical Ingredient and drug product) within Quality Control laboratories. Serves as a Subject Matter Expert interfacing with Regulatory Agencies and Contract Service Providers as a technical expert. The Scientist is responsible for investigating commercial product complaints/issues at all manufacturing sites, domestic, international and Contract Manufacturing Organizations. The position requires proficiency working with small molecules or biologics in oral dosage and/or sterile injectables. Duties and Responsibilities
Responsible for monitoring and managing the life cycle of assigned analytical methods.
Design and perform experiments to evaluate analytical methods associated with commercial products for feasibility, method improvement, remediation and/or troubleshooting.
Writes formal analytical documents such as validation protocols, method transfer protocols and investigations reports.
Conducts analytical method transfer to internal and/or external commercial manufacturing/testing facilities.
Evaluate and participate in the review and implementation of compendia changes with impact to analytical methods.
Ability to troubleshoot method and/or equipment issues to the root cause.
Capable of resolving non-routine laboratory issues and problems expeditiously
Interacts with CSPs, reviews raw data generated by CSPs and supports their lab investigations as needed.
Ability to write analytical method risk assessments or regulatory impact assessment statements (RIAS).
Participates in audits and interacts and answers questions from Health Authorities
Participate in the selection/implementation of laboratory equipment and software
Participate in the management of global reference standards and controls (lifecycle for stability and routine usage)
Support the approval and the qualification process
Review raw data (Quality Control peer review)
Participate in the inspection/audit at Contract Service Providers
Provide support to Service Providers during Health Authority inspections
Subject Matter expert for internal/external audits
Develop strategies for method transfer and implementation for new products and excipients
Perform QC oversight of commercial CSP’s
Acts as a functional area expert
Maintain qualification status on aseptic gowning, sterility testing, BET, etc.
Advanced knowledge and interpretation of cGMP.
Education and Experience
min B.S. Chemistry, Biochemistry, or relevant discipline
5 years of relevant work experience required, preferably in a Pharmaceutical environment.
Proficiency in English (Level C1 minimum) and in French (B2 minimum) is mandatory
Excellent communication skills.
problem-solving
Experience defending validation principles and processes in internal and external audits.
Good knowledge of Active Pharmaceutical Ingredient testing and their issues.
Knowledge of international regulatory requirements
Project management skills.
knowledge of Microsoft Word, Outlook, and Excel, Project, and Visio.
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." There are more than 300 clinical trials at major medical centers using compounds from Celgene. Investigational compounds are being studied for patients with incurable hematological and solid tumor cancers, including multiple myeloma, myelodysplastic syndromes, chronic lymphocytic leukemia (CLL), non-Hodgkin’s lymphoma (NHL), triple-negative breast cancer and pancreatic cancer. As committed as we are to clinical accomplishment, we are equally committed to patient support, which is a guiding principle at Celgene. We believe all who can benefit from our discoveries should have the opportunity to do so. Celgene puts patients first with industry-leading programs that provide information, support and access to our innovative therapies.
About Mettler Toledo METTLER TOLEDO is a leading global supplier of precision instruments and services. We are recognized as an innovation leader and our solutions are critical in key R&D, quality control, and manufacturing processes for customers in a wide range of industries including life sciences, food, and chemicals. We operate throughout the world with a culture shaped by innovation and international flair. Our Opening and Your Responsibilities As part of Global Supply Chain Management, Global Procurement is responsible for strategic product groups and supplier management, procurement engineering and related tools, templates and trainings. Under consideration of innovation, cost, quality and availability we strive to develop procurement to a competitive advantage for METTLER TOLEDO. To support the Global Category Management team, we are offering an Internship - Global Category Management 50-100% (f/m/d) - 6-12 months. The position is located at our global operational headquarters in Nänikon-Greifensee, Zurich. In this role, your responsibilities would include: * Benchmarking suppliers in cooperation with Category Managers * Contribute in execution of supplier standardization project * Monitoring, clean up and improvement of the main KPIs * Collecting and consolidating product data from multiple sources (internal and external) * Verifying and completing data in cooperation with procurement teams worldwide * Using global data standards to fill in and update supplier classifications and attributes * Coordinating mass changes with the business units What You Need to Succeed Following requirements are necessary for this role: * Bachelor in the field of Business, Engineering, or related fields * Independent working method and proactive communication skills * Good MS Office user knowledge (MS Excel) and SAP skills are nice to have * A self-driven, smart and fast way of thinking is highly expected * Excellent written and spoken English are a must, German is a plus Our Offer to You We offer a challenging internship position for ambitious students who are interested to work in an innovative and world-leading high-tech company in which you will have the possibility to contribute in different international projects. Experienced team members will coach and support you during your time with us. If you are a team player with drive and a result-oriented and positive attitude, we look forward to hearing from you. We only consider direct applications. Equal Opportunity Employment We promote equal opportunity worldwide and value diversity in our teams in terms of business background, area of expertise, gender and ethnicity. For more information on our commitment to Sustainability, Diversity and Equal Opportunity please visit us here.
16/10/2019
Full time
About Mettler Toledo METTLER TOLEDO is a leading global supplier of precision instruments and services. We are recognized as an innovation leader and our solutions are critical in key R&D, quality control, and manufacturing processes for customers in a wide range of industries including life sciences, food, and chemicals. We operate throughout the world with a culture shaped by innovation and international flair. Our Opening and Your Responsibilities As part of Global Supply Chain Management, Global Procurement is responsible for strategic product groups and supplier management, procurement engineering and related tools, templates and trainings. Under consideration of innovation, cost, quality and availability we strive to develop procurement to a competitive advantage for METTLER TOLEDO. To support the Global Category Management team, we are offering an Internship - Global Category Management 50-100% (f/m/d) - 6-12 months. The position is located at our global operational headquarters in Nänikon-Greifensee, Zurich. In this role, your responsibilities would include: * Benchmarking suppliers in cooperation with Category Managers * Contribute in execution of supplier standardization project * Monitoring, clean up and improvement of the main KPIs * Collecting and consolidating product data from multiple sources (internal and external) * Verifying and completing data in cooperation with procurement teams worldwide * Using global data standards to fill in and update supplier classifications and attributes * Coordinating mass changes with the business units What You Need to Succeed Following requirements are necessary for this role: * Bachelor in the field of Business, Engineering, or related fields * Independent working method and proactive communication skills * Good MS Office user knowledge (MS Excel) and SAP skills are nice to have * A self-driven, smart and fast way of thinking is highly expected * Excellent written and spoken English are a must, German is a plus Our Offer to You We offer a challenging internship position for ambitious students who are interested to work in an innovative and world-leading high-tech company in which you will have the possibility to contribute in different international projects. Experienced team members will coach and support you during your time with us. If you are a team player with drive and a result-oriented and positive attitude, we look forward to hearing from you. We only consider direct applications. Equal Opportunity Employment We promote equal opportunity worldwide and value diversity in our teams in terms of business background, area of expertise, gender and ethnicity. For more information on our commitment to Sustainability, Diversity and Equal Opportunity please visit us here.
Are you about to graduate and would like to become a data science professional? Come join ELCA’s competitive Data Science Program!
In this role
You will actively participate in innovative data science projects with our main clients in Switzerland. Examples of areas you might work on: Natural Language Processing and Predictive Maintenance.
You will learn through concrete projects, work closely with our clients and become a data science professional
You will develop your skillset in a highly sought-after field and get exposure to what the market needs
You will actively participate in knowledge and experience sharing meetings with the team
What we offer
A permanent contract with a three-year artificial intelligence program in which participants will integrate several industrial projects in the data science and data engineering fields
Relevant trainings will be offered as part of the curriculum
A very pleasant working environment in a dynamic and highly motivated data science team
Coaching by our data science lead experts
About your profile
You are a strong fresh master’s graduate in the data science, computer science, communication systems or equivalent fields, or you have a master’s degree in one of these fields and have one or two years of professional / research experience.
You have successfully taken at least one machine learning and data analysis courses
Certifications from renowned online courses such as Stanford’s are valid
Minimum required GPA in the relevant courses >= 5/6
Minimum required GPA in projects (semester and Master thesis) >= 5/6
Your team spirit is amongst your strongest qualities
Your location base: Lausanne but you must be willing to travel to Geneva or Bern on a regular basis
You must submit your diplomas and grades with your application
Fluency in English and in either French or German
16/10/2019
Full time
Are you about to graduate and would like to become a data science professional? Come join ELCA’s competitive Data Science Program!
In this role
You will actively participate in innovative data science projects with our main clients in Switzerland. Examples of areas you might work on: Natural Language Processing and Predictive Maintenance.
You will learn through concrete projects, work closely with our clients and become a data science professional
You will develop your skillset in a highly sought-after field and get exposure to what the market needs
You will actively participate in knowledge and experience sharing meetings with the team
What we offer
A permanent contract with a three-year artificial intelligence program in which participants will integrate several industrial projects in the data science and data engineering fields
Relevant trainings will be offered as part of the curriculum
A very pleasant working environment in a dynamic and highly motivated data science team
Coaching by our data science lead experts
About your profile
You are a strong fresh master’s graduate in the data science, computer science, communication systems or equivalent fields, or you have a master’s degree in one of these fields and have one or two years of professional / research experience.
You have successfully taken at least one machine learning and data analysis courses
Certifications from renowned online courses such as Stanford’s are valid
Minimum required GPA in the relevant courses >= 5/6
Minimum required GPA in projects (semester and Master thesis) >= 5/6
Your team spirit is amongst your strongest qualities
Your location base: Lausanne but you must be willing to travel to Geneva or Bern on a regular basis
You must submit your diplomas and grades with your application
Fluency in English and in either French or German
OUR COMPANY
Our mission is to deliver solutions to the financial services industry, driving business and technology change through proven global expertise. Axxiome is a name synonymous with quality and value for financial services organizations that are looking to improve or build upon their IT operations. With offices and subsidiaries in many countries across 4 continents, Axxiome excels in transforming legacy banking and insurance platforms to modern solutions and is considered a leader in implementation and integration of digitization initiatives across the globe.
In Cooperation with the Business Engineering Institute St.Gallen AG (BEI AG) we are building up a Data Science team for financial services. Innovation based on science and projects will lead us to success. BEI AG is the leading company for turning knowledge gained from research and science into practice-oriented consulting and innovative solutions.
Join our team as
Data Science Manager f/m Switzerland
JOB DESCRIPTION
As Data Science Manager you will manage a team of 3-5 highly educated and experienced data science analysts and developers, collaborate with the BEI AG and be responsible with your team for innovation and accurate data collection, processing, modelling and analysis to drive business.
Lead data science projects end to end and coordinate functional teams/developers of 3-5 employees
Mine, analyze customer data to drive optimization and improvement of products, marketing techniques and business strategy with your team
Develop/use predictive statistics behavioral or other models by machine learning and/or traditional statist. modeling techniques to increase and optimize customer experience and revenue generation
Develop data models, algorithms, tools and methods
Applied knowledge of the configuration options of modules within or across packages to functional solutions using detailed knowledge of package capabilities to meet business requirements
Create showcases how BI data can help to facilitate and drive business decisions focused on Financial Services Industries
Connect findings to business initiatives and approach customer at various management levels to create opportunities
REQUIREMENTS
Master’s degree in engineering, computer science, physics, math or economics
Familiar with the principles of modelling
5 years of experience Project Management
SQL database management and maintenance skills
Several years developing sustainable customer relations
Fluent in German and English
ADDITIONAL AS A PLUS
Machine Learning, AI
Python; R and/or SPSS knowledge or equivalent tools
WE OFFER
Unleash your potential in an international company with flat hierarchies. Enjoy a maximum of personal freedom.
A structured onboarding process ensure that our new hires get familiar with Axxiome, receive right tools and feel seen and accountable.
An attractive salary model with performance-based bonuses, a generous home office regulation, a company car for private use and other benefits of a modern consulting company round off our offer to you.
As a top performer, you also participate directly in the company’s success through an investment model.
To ensure that your knowledge is always “state-of-the-art”, you regularly take part in internal and external training courses. An intensive training and a regular coaching enable you to reach your personal goals.
YOUR APPLICATION
Please apply online with your complete set of documents, including your desired salary and your possible starting date at recruiting.dach@axxiome.com.
For any questions please don’t hesitate to contact Hardy Schwarzer, Recruiting Manager Europe at Axxiome (hardy.schwarzer@axxiome.com, +49 151 27 655 588).
16/10/2019
Full time
OUR COMPANY
Our mission is to deliver solutions to the financial services industry, driving business and technology change through proven global expertise. Axxiome is a name synonymous with quality and value for financial services organizations that are looking to improve or build upon their IT operations. With offices and subsidiaries in many countries across 4 continents, Axxiome excels in transforming legacy banking and insurance platforms to modern solutions and is considered a leader in implementation and integration of digitization initiatives across the globe.
In Cooperation with the Business Engineering Institute St.Gallen AG (BEI AG) we are building up a Data Science team for financial services. Innovation based on science and projects will lead us to success. BEI AG is the leading company for turning knowledge gained from research and science into practice-oriented consulting and innovative solutions.
Join our team as
Data Science Manager f/m Switzerland
JOB DESCRIPTION
As Data Science Manager you will manage a team of 3-5 highly educated and experienced data science analysts and developers, collaborate with the BEI AG and be responsible with your team for innovation and accurate data collection, processing, modelling and analysis to drive business.
Lead data science projects end to end and coordinate functional teams/developers of 3-5 employees
Mine, analyze customer data to drive optimization and improvement of products, marketing techniques and business strategy with your team
Develop/use predictive statistics behavioral or other models by machine learning and/or traditional statist. modeling techniques to increase and optimize customer experience and revenue generation
Develop data models, algorithms, tools and methods
Applied knowledge of the configuration options of modules within or across packages to functional solutions using detailed knowledge of package capabilities to meet business requirements
Create showcases how BI data can help to facilitate and drive business decisions focused on Financial Services Industries
Connect findings to business initiatives and approach customer at various management levels to create opportunities
REQUIREMENTS
Master’s degree in engineering, computer science, physics, math or economics
Familiar with the principles of modelling
5 years of experience Project Management
SQL database management and maintenance skills
Several years developing sustainable customer relations
Fluent in German and English
ADDITIONAL AS A PLUS
Machine Learning, AI
Python; R and/or SPSS knowledge or equivalent tools
WE OFFER
Unleash your potential in an international company with flat hierarchies. Enjoy a maximum of personal freedom.
A structured onboarding process ensure that our new hires get familiar with Axxiome, receive right tools and feel seen and accountable.
An attractive salary model with performance-based bonuses, a generous home office regulation, a company car for private use and other benefits of a modern consulting company round off our offer to you.
As a top performer, you also participate directly in the company’s success through an investment model.
To ensure that your knowledge is always “state-of-the-art”, you regularly take part in internal and external training courses. An intensive training and a regular coaching enable you to reach your personal goals.
YOUR APPLICATION
Please apply online with your complete set of documents, including your desired salary and your possible starting date at recruiting.dach@axxiome.com.
For any questions please don’t hesitate to contact Hardy Schwarzer, Recruiting Manager Europe at Axxiome (hardy.schwarzer@axxiome.com, +49 151 27 655 588).
Do you love diving into data sets? Would you enjoy telling stories and helping others see the benefit of data-based decision-making? We are passionate about understanding data and want more people who know how to use that data in the best way to guide our decisions. Are you up for the challenge? Then apply to one of P&G IT internship: we are looking for interns (F/M) in Geneva (CH) Special Notice: If you are a female student or a recent graduate passionate about business and technology, interested in using IT to transform the way people work and make business decisions and are interested in joining the Future Female Leaders in Information Technology event on November 25th in Geneva, please continue your application here. Apply before October 27th. As an intern your Project will include: • Leading and improving the analytical program, influencing the data strategy and structure for your business unit / category / region together with consumer research group. • Delivering regular analytic updates and insights, for example Market & Share performance of our product portfolio, identifying key growth opportunities or make strategies real, while using advanced analytic techniques. • Building analytic capabilities to grow organizations knowledge. • Discovering and inventing next-generation business analytic tools for our category analysts and business partners, owning our new applications from design-thinking up to user adoption. • Developing in-depth business, analytical and systems knowledge to improve or build analytical solutions, approaches and foremost business recommendations. • Collaborating with multi-functional teams (Consumer Research, Finance, Marketing, IT etc.) • Answering business questions and propose solution for business problems by applying machine learning techniques and automatizing analysis of consumer touch point information or other deep learning data, exploring their patterns and recommending marketing activities. Requirements:
You are doing a Bachelor or Master Degree in a quantitative field (Operation Research, Computer Science, Engineering, Applied Math, Statistics, Analytics etc); Possibly a minor in Economics or Business Management • You are comfortable working with diverse business scenarios, handling multiple priorities and have a business & consultancy mind-set, while technically (data) savvy. • Passion to try new things, learn quickly and work well with diverse backgrounds • Excellent interpersonal skills, self-motivated, dynamic and can-do attitude • Have enthusiasm and curiosity about the intersection of business, technology and data • English required (written and oral)
Due to legal restrictions, immigration sponsorship is available only for EU/EFTA nationalities. All candidate with non – EU/ EFTA nationalities are encouraged to check out opportunities in countries where they can obtain a work permit. P&G is committed to providing equal opportunities in employment. We value diversity and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
16/10/2019
Full time
Do you love diving into data sets? Would you enjoy telling stories and helping others see the benefit of data-based decision-making? We are passionate about understanding data and want more people who know how to use that data in the best way to guide our decisions. Are you up for the challenge? Then apply to one of P&G IT internship: we are looking for interns (F/M) in Geneva (CH) Special Notice: If you are a female student or a recent graduate passionate about business and technology, interested in using IT to transform the way people work and make business decisions and are interested in joining the Future Female Leaders in Information Technology event on November 25th in Geneva, please continue your application here. Apply before October 27th. As an intern your Project will include: • Leading and improving the analytical program, influencing the data strategy and structure for your business unit / category / region together with consumer research group. • Delivering regular analytic updates and insights, for example Market & Share performance of our product portfolio, identifying key growth opportunities or make strategies real, while using advanced analytic techniques. • Building analytic capabilities to grow organizations knowledge. • Discovering and inventing next-generation business analytic tools for our category analysts and business partners, owning our new applications from design-thinking up to user adoption. • Developing in-depth business, analytical and systems knowledge to improve or build analytical solutions, approaches and foremost business recommendations. • Collaborating with multi-functional teams (Consumer Research, Finance, Marketing, IT etc.) • Answering business questions and propose solution for business problems by applying machine learning techniques and automatizing analysis of consumer touch point information or other deep learning data, exploring their patterns and recommending marketing activities. Requirements:
You are doing a Bachelor or Master Degree in a quantitative field (Operation Research, Computer Science, Engineering, Applied Math, Statistics, Analytics etc); Possibly a minor in Economics or Business Management • You are comfortable working with diverse business scenarios, handling multiple priorities and have a business & consultancy mind-set, while technically (data) savvy. • Passion to try new things, learn quickly and work well with diverse backgrounds • Excellent interpersonal skills, self-motivated, dynamic and can-do attitude • Have enthusiasm and curiosity about the intersection of business, technology and data • English required (written and oral)
Due to legal restrictions, immigration sponsorship is available only for EU/EFTA nationalities. All candidate with non – EU/ EFTA nationalities are encouraged to check out opportunities in countries where they can obtain a work permit. P&G is committed to providing equal opportunities in employment. We value diversity and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Do you have passion to transform P&G's brand building while enabling better decision-making through advanced analytics and machine learning; enhance business results and improving consumer's lives every single day? We are looking for Data Scientist Interns (Female or Male) 6-months - Based in Geneva – Compensated Your responsibilities will be : “Get into the details” on Marketing and Data Science, using artificial intelligence, data visualization and analytic engines, release business building insights, generating plans from our data to serve consumers worldwide in better way. You will learn through from data we generate from 1.5TB individual consumer touchpoints daily, and information on 500MM consumers' behaviors. You will answer business questions and propose solution for business problems by applying machine learning techniques and automatize analysis of consumer touch point information or other deep learning data, explore their patterns and recommend marketing activities. You will discover and invent next-generation business analytic tools for our category analysts and business partners, own our new applications from design-thinking up to user adoption. Full-stack development of innovative and creative tailor-made algorithms that will drive real-life business recommendation and activation, using your favorite tools or environment. Team up with technology partners to translate your innovations into robust, scaled, analytic solutions Collaborate actively and effectively with the data science team, other function's partners and senior management to achieve your project's objectives. Participate to P&G's analytic capability program at different levels of skill and seniority To qualify for this role you should possess the following: Doing a Master Degree in a quantitative field (Operation Research, Computer Science, Engineering, Applied Math, Statistics, Analytics, Data Science, Life-science etc) Passion to try new things, learn quickly and work well with diverse backgrounds. Excellent interpersonal skills, self-motivated, dynamic and can-do attitude Enthusiasm and curiosity about the intersection of business, technology and data. Very good English (written and oral) …and you should have knowledge of Business Intelligence Tools such as KNIME, Tableau, Spotfire Big Data Ecosystem: Hadoop, Spark, MapReduce, SQL, Hive Scientific Computing: R, Python, C++, Java, Scala Advanced Analytical models (Bayesian, Optimization (global, local, stochastic methods), Uncertainty Quantification, etc.) We offer: Competitive compensation Own your responsibilities and project leadership as of day 1 Dynamic, Diverse, Multi-cultural and Flexible working environment 'Vibrant Living' offering on-site: Gym / Yoga / Sports-teams, Hair-Salon, Canteen, Agile workspace design, Flex-work arrangements possible and "new-hire network activities" Help with housing, subsidized meals, free public transport in Geneva and access to our company store, are some examples of our benefits. Equal Opportunities for everybody #WeSeeEqual #LikeAGirl #GABLE #P&G Job Location: Geneva, Petit-Lancy Due to legal restrictions , immigration sponsorship is available only for EU/EFTA nationalities. All candidate with non – EU/EFTA nationalities are encouraged to check out opportunities in countries where they can obtain a work permit. Further helpful information to make the application process smooth: Just apply via clicking the button below Have your CV in English ready to attach Please note individual attachments cannot be larger than 500 KB
16/10/2019
Full time
Do you have passion to transform P&G's brand building while enabling better decision-making through advanced analytics and machine learning; enhance business results and improving consumer's lives every single day? We are looking for Data Scientist Interns (Female or Male) 6-months - Based in Geneva – Compensated Your responsibilities will be : “Get into the details” on Marketing and Data Science, using artificial intelligence, data visualization and analytic engines, release business building insights, generating plans from our data to serve consumers worldwide in better way. You will learn through from data we generate from 1.5TB individual consumer touchpoints daily, and information on 500MM consumers' behaviors. You will answer business questions and propose solution for business problems by applying machine learning techniques and automatize analysis of consumer touch point information or other deep learning data, explore their patterns and recommend marketing activities. You will discover and invent next-generation business analytic tools for our category analysts and business partners, own our new applications from design-thinking up to user adoption. Full-stack development of innovative and creative tailor-made algorithms that will drive real-life business recommendation and activation, using your favorite tools or environment. Team up with technology partners to translate your innovations into robust, scaled, analytic solutions Collaborate actively and effectively with the data science team, other function's partners and senior management to achieve your project's objectives. Participate to P&G's analytic capability program at different levels of skill and seniority To qualify for this role you should possess the following: Doing a Master Degree in a quantitative field (Operation Research, Computer Science, Engineering, Applied Math, Statistics, Analytics, Data Science, Life-science etc) Passion to try new things, learn quickly and work well with diverse backgrounds. Excellent interpersonal skills, self-motivated, dynamic and can-do attitude Enthusiasm and curiosity about the intersection of business, technology and data. Very good English (written and oral) …and you should have knowledge of Business Intelligence Tools such as KNIME, Tableau, Spotfire Big Data Ecosystem: Hadoop, Spark, MapReduce, SQL, Hive Scientific Computing: R, Python, C++, Java, Scala Advanced Analytical models (Bayesian, Optimization (global, local, stochastic methods), Uncertainty Quantification, etc.) We offer: Competitive compensation Own your responsibilities and project leadership as of day 1 Dynamic, Diverse, Multi-cultural and Flexible working environment 'Vibrant Living' offering on-site: Gym / Yoga / Sports-teams, Hair-Salon, Canteen, Agile workspace design, Flex-work arrangements possible and "new-hire network activities" Help with housing, subsidized meals, free public transport in Geneva and access to our company store, are some examples of our benefits. Equal Opportunities for everybody #WeSeeEqual #LikeAGirl #GABLE #P&G Job Location: Geneva, Petit-Lancy Due to legal restrictions , immigration sponsorship is available only for EU/EFTA nationalities. All candidate with non – EU/EFTA nationalities are encouraged to check out opportunities in countries where they can obtain a work permit. Further helpful information to make the application process smooth: Just apply via clicking the button below Have your CV in English ready to attach Please note individual attachments cannot be larger than 500 KB
Req #: 1903597 Location: Couvet, Neuchatel, Switzerland Job Category: Quality Work Location: Rue du Pré-Jorat 14 2108 Organization: Quality Control Employee Status: Full-time Job Type: Regular
On the Analytical Science & Technology, team, we deliver our mission by regularly working cross-functionally with other Celgene QC, MTS, ATS, PAT, REG, CMC, QA, IT, Drug Product Development and Vendors.
As the Scientist, Analytical Science & Technology, QC Microbiology, you’ll support that goal by
Being the Subject Matter Expert, SME, for QC-Methods Validation, laboratory Instruments & Software, data integrity and LIMS.
Ensuring compendia, non-compendia, and cleaning validation QC-methods are validated/verified and maintained in compliance with local policies, guidelines, and procedures during their lifecycle.
Authoring and when required review validation documents, including QC-Method transfer, QC-methods verification, validation plans, protocols, reports, summary reports.
Managing & executing PQ methods validation.
Participating in the development and maintenance of the local site procedures.
Participating in risk assessments & risk management teams.
Being the change control leader for the QC department for methods review or implementation, review and approve control documents, to evaluate impact on qualified systems and validated processes.
Managing validation projects; including managing time, resources and budgets; own associated change controls.
Developing and justify the validation approach based on risk and a scientific rational.
Co-ordinating qualification and validation execution activities, including external vendors and internal departments
Maintaining procedures governing validation to ensure they are in compliance with Corporate policies and regulatory requirements.
Participating when required during internal and external audits for which they are a SME, by answering questions, reviewing Methods validations/verification with auditors, and providing documentation.
Establishing and maintaining effective relationships with internal team, customers and suppliers.
Skills/Knowledge Required
BS degree in Life Sciences, Chemistry, Engineering or equivalent;
Minimum 5 years’ experience in QC-methods validation;
Minimum 2 years’ experience in managing QC-Methods validation projects;
Familiarity with current international regulatory regulations, cGxP requirements and best practices, including USP, Ph.Eur,, JP, 21 CFR part 11, 210 and 211, Annex 11 to EU-GMP guidelines and GAMP;
Experience in QC-Instruments purchasing & qualification
Good knowledge of pharmaceutical facilities and laboratory systems;
Good communication skills in English with laboratory, technical operations, QA, and outside vendor groups;
Team player: ability to interact effectively with team and customers.
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." There are more than 300 clinical trials at major medical centers using compounds from Celgene. Investigational compounds are being studied for patients with incurable hematological and solid tumor cancers, including multiple myeloma, myelodysplastic syndromes, chronic lymphocytic leukemia (CLL), non-Hodgkin’s lymphoma (NHL), triple-negative breast cancer and pancreatic cancer. As committed as we are to clinical accomplishment, we are equally committed to patient support, which is a guiding principle at Celgene. We believe all who can benefit from our discoveries should have the opportunity to do so. Celgene puts patients first with industry-leading programs that provide information, support and access to our innovative therapies.
16/10/2019
Full time
Req #: 1903597 Location: Couvet, Neuchatel, Switzerland Job Category: Quality Work Location: Rue du Pré-Jorat 14 2108 Organization: Quality Control Employee Status: Full-time Job Type: Regular
On the Analytical Science & Technology, team, we deliver our mission by regularly working cross-functionally with other Celgene QC, MTS, ATS, PAT, REG, CMC, QA, IT, Drug Product Development and Vendors.
As the Scientist, Analytical Science & Technology, QC Microbiology, you’ll support that goal by
Being the Subject Matter Expert, SME, for QC-Methods Validation, laboratory Instruments & Software, data integrity and LIMS.
Ensuring compendia, non-compendia, and cleaning validation QC-methods are validated/verified and maintained in compliance with local policies, guidelines, and procedures during their lifecycle.
Authoring and when required review validation documents, including QC-Method transfer, QC-methods verification, validation plans, protocols, reports, summary reports.
Managing & executing PQ methods validation.
Participating in the development and maintenance of the local site procedures.
Participating in risk assessments & risk management teams.
Being the change control leader for the QC department for methods review or implementation, review and approve control documents, to evaluate impact on qualified systems and validated processes.
Managing validation projects; including managing time, resources and budgets; own associated change controls.
Developing and justify the validation approach based on risk and a scientific rational.
Co-ordinating qualification and validation execution activities, including external vendors and internal departments
Maintaining procedures governing validation to ensure they are in compliance with Corporate policies and regulatory requirements.
Participating when required during internal and external audits for which they are a SME, by answering questions, reviewing Methods validations/verification with auditors, and providing documentation.
Establishing and maintaining effective relationships with internal team, customers and suppliers.
Skills/Knowledge Required
BS degree in Life Sciences, Chemistry, Engineering or equivalent;
Minimum 5 years’ experience in QC-methods validation;
Minimum 2 years’ experience in managing QC-Methods validation projects;
Familiarity with current international regulatory regulations, cGxP requirements and best practices, including USP, Ph.Eur,, JP, 21 CFR part 11, 210 and 211, Annex 11 to EU-GMP guidelines and GAMP;
Experience in QC-Instruments purchasing & qualification
Good knowledge of pharmaceutical facilities and laboratory systems;
Good communication skills in English with laboratory, technical operations, QA, and outside vendor groups;
Team player: ability to interact effectively with team and customers.
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." There are more than 300 clinical trials at major medical centers using compounds from Celgene. Investigational compounds are being studied for patients with incurable hematological and solid tumor cancers, including multiple myeloma, myelodysplastic syndromes, chronic lymphocytic leukemia (CLL), non-Hodgkin’s lymphoma (NHL), triple-negative breast cancer and pancreatic cancer. As committed as we are to clinical accomplishment, we are equally committed to patient support, which is a guiding principle at Celgene. We believe all who can benefit from our discoveries should have the opportunity to do so. Celgene puts patients first with industry-leading programs that provide information, support and access to our innovative therapies.
200+ number of Clinical Development projects currently in the Novartis pipeline. Many of these projects, which include new molecular entities as well as additional indications and different formulations for marketed products, are for medicines that could significantly advance treatment standards for patients worldwide. We are looking for an Associate Scientist to join our physical-chemical-analytical group within Biologics Technical Development to support our Biologics pipeline. Your responsibilities:
Analysis and characterization of Biopharmaceuticals in early phase clinical development
Development of chromatographic and electrophoretic analytical methods
Independent planning, performance and evaluation of analyses
Technical organization of an analytical lab and ability to work under time pressure
Provide documentation of raw data, evaluation and contribute to interpretation of results
Schedule and perform routine maintenance of lab instruments/equipment
Contribute to lab procedures, reports and/or instructions and/or Instrument procedure, Lab Procedures according to Documentation Quality Practice
Contribute to the evaluation of new lab equipment. Actively participate in project teams/meetings/networks
Minimum requirements
What you’ll bring to the role:
Bachelor and / or Master Degree, apprenticeship or equivalent with specialization in analytical chemistry
Fluent in English (written and spoken)
Experience in protein analytics and in instrumental analytics (e.g. chromatography, electrophoresis or spectroscopy)
Good organizational and team skills
Why consider Novartis? 750 million. That’s how many lives our products touch. And while we’re proud of that, in this world of digital and technological transformation, we must also ask ourselves this: how can we continue to improve and extend even more people’s lives? We believe the answers are found when curious, courageous and collaborative people like you are empowered to ask new questions, make bolder decisions and take smarter risks. We are Novartis. Join us and help reimagine medicine. Please make sure to submit a CV and a cover letter.
Division
Global Drug Development
Business Unit
TECHNICAL R & D GDD
Country
Switzerland
Work Location
Basel
Company/Legal Entity
Novartis Pharma AG
Functional Area
Research & Development
Job Type
Full Time
Employment Type
Temporary
14/10/2019
Full time
200+ number of Clinical Development projects currently in the Novartis pipeline. Many of these projects, which include new molecular entities as well as additional indications and different formulations for marketed products, are for medicines that could significantly advance treatment standards for patients worldwide. We are looking for an Associate Scientist to join our physical-chemical-analytical group within Biologics Technical Development to support our Biologics pipeline. Your responsibilities:
Analysis and characterization of Biopharmaceuticals in early phase clinical development
Development of chromatographic and electrophoretic analytical methods
Independent planning, performance and evaluation of analyses
Technical organization of an analytical lab and ability to work under time pressure
Provide documentation of raw data, evaluation and contribute to interpretation of results
Schedule and perform routine maintenance of lab instruments/equipment
Contribute to lab procedures, reports and/or instructions and/or Instrument procedure, Lab Procedures according to Documentation Quality Practice
Contribute to the evaluation of new lab equipment. Actively participate in project teams/meetings/networks
Minimum requirements
What you’ll bring to the role:
Bachelor and / or Master Degree, apprenticeship or equivalent with specialization in analytical chemistry
Fluent in English (written and spoken)
Experience in protein analytics and in instrumental analytics (e.g. chromatography, electrophoresis or spectroscopy)
Good organizational and team skills
Why consider Novartis? 750 million. That’s how many lives our products touch. And while we’re proud of that, in this world of digital and technological transformation, we must also ask ourselves this: how can we continue to improve and extend even more people’s lives? We believe the answers are found when curious, courageous and collaborative people like you are empowered to ask new questions, make bolder decisions and take smarter risks. We are Novartis. Join us and help reimagine medicine. Please make sure to submit a CV and a cover letter.
Division
Global Drug Development
Business Unit
TECHNICAL R & D GDD
Country
Switzerland
Work Location
Basel
Company/Legal Entity
Novartis Pharma AG
Functional Area
Research & Development
Job Type
Full Time
Employment Type
Temporary
Your job.
You will take on technical leadership of customer projects (establishing the methodical approach, developing use cases with the customer, advising customers on technical questions as well as presenting and explaining results).
You will manage the development of machine learning pipelines or develop these yourself: data preparation, modelling, method selection, validation.
You will evaluate the technical and economic feasibility of machine learning solutions and operationalise concepts from successful prototypes in collaboration with data platform architects.
As an expert, you will also assist with the acquisition of customer projects as part of an interdisciplinary bid team.
Your talent.
You have at least 4 years of professional/research experience in the area of machine learning since graduation. Experience of implementing projects in industry and services is an advantage.
You have very good, broad-based knowledge of machine learning, advanced skills in an application domain (e.g. NLP, CV) and good knowledge of statistics.
You are proficient in an ecosystem suitable for data analysis (Python preferred), have experience in software development and are familiar with the concepts of database systems (relational/NoSQL).
Thanks to your confident manner in your communications with customers, and your strong personal motivation and passion for data science, you will take on responsibility for projects and the future development of our ML/DA competence.
You have a degree from a federal technical institute or university in computer science or mathematics, or a comparable qualification. A PhD in an area related to machine learning is a plus. Excellent German and English language skills are required for this role.
And Zühlke. Develop your talent in a highly qualified environment: Zühlke offers you a wide range of opportunities for knowledge exchange and networking plus the security of a long-standing success story. You can develop your career individually, as we will offer you four weeks of further training per year, training camps and active knowledge sharing among experts. Would you like to find out more? Then read our Success Stories or join the conversation on our Zühlke Blog. Please submit a complete application including CV, cover letter, reference letters, and educational certificates. Provided you are a non-EU/EFTA citizen, we can only accept your application, if a valid Swiss work permit is enclosed.
14/10/2019
Full time
Your job.
You will take on technical leadership of customer projects (establishing the methodical approach, developing use cases with the customer, advising customers on technical questions as well as presenting and explaining results).
You will manage the development of machine learning pipelines or develop these yourself: data preparation, modelling, method selection, validation.
You will evaluate the technical and economic feasibility of machine learning solutions and operationalise concepts from successful prototypes in collaboration with data platform architects.
As an expert, you will also assist with the acquisition of customer projects as part of an interdisciplinary bid team.
Your talent.
You have at least 4 years of professional/research experience in the area of machine learning since graduation. Experience of implementing projects in industry and services is an advantage.
You have very good, broad-based knowledge of machine learning, advanced skills in an application domain (e.g. NLP, CV) and good knowledge of statistics.
You are proficient in an ecosystem suitable for data analysis (Python preferred), have experience in software development and are familiar with the concepts of database systems (relational/NoSQL).
Thanks to your confident manner in your communications with customers, and your strong personal motivation and passion for data science, you will take on responsibility for projects and the future development of our ML/DA competence.
You have a degree from a federal technical institute or university in computer science or mathematics, or a comparable qualification. A PhD in an area related to machine learning is a plus. Excellent German and English language skills are required for this role.
And Zühlke. Develop your talent in a highly qualified environment: Zühlke offers you a wide range of opportunities for knowledge exchange and networking plus the security of a long-standing success story. You can develop your career individually, as we will offer you four weeks of further training per year, training camps and active knowledge sharing among experts. Would you like to find out more? Then read our Success Stories or join the conversation on our Zühlke Blog. Please submit a complete application including CV, cover letter, reference letters, and educational certificates. Provided you are a non-EU/EFTA citizen, we can only accept your application, if a valid Swiss work permit is enclosed.
For our locations in Lausanne, Geneva, Bern and Zürich, we are looking for an experienced Senior Data Scientist .
In order to further strengthen our Data Science team, we offer a diversified and interesting job to a person with motivation, initiative and good sense of service quality provided to our customers.
In this role
Be part of a consultants’ team to deliver services, mandates and or projects related to NLP and Data Science :
In your role as a senior consultant, you will design and implement NLP and other Data Science solutions for our customers
You will support the acquisition of new client projects, for example by preparing offers or holding client presentations,
You will contribute to elaborate and lead specific Value Propositions around NLP or other Data Science applications,
You will participate to continuously watch the market and technical evolution around NLP solutions.
You will actively participate to knowledge and experience sharing meetings with the team and the rest of the ELCA group
What we offer
A key role in a multidisciplinary service company, a leader in Switzerland in the field of new technologies
A pleasant working environment in a young and motivated team
Coaching by our Data Science lead experts and managers
Attractive development opportunities in various technological fields with further responsibilities
A wide range of exciting and interesting projects in various fields of activity
About your profile
For this vacancy we expect a candidate with an academic degree of a university, university of applied sciences or technical college with at least three to five years’ hands-on experience in the implementation of NLP solutions
Experience in machine learning models
Experience in information extraction
Experience in NLP applications such as dialogue systems and text classification
Flexibility to travel around Switzerland
Other skills:
Flexibility to travel around Switzerland
Good presentation and redaction skills
Speaking german is a strong plus
Your strengths include an efficient style of working both autonomous and in a team, a distinct customer focus and very good communication skills.
If you are interested in applying for this position, please send us your complete application (CV, cover letter, letter of reference, diplomas and certificates).
14/10/2019
Full time
For our locations in Lausanne, Geneva, Bern and Zürich, we are looking for an experienced Senior Data Scientist .
In order to further strengthen our Data Science team, we offer a diversified and interesting job to a person with motivation, initiative and good sense of service quality provided to our customers.
In this role
Be part of a consultants’ team to deliver services, mandates and or projects related to NLP and Data Science :
In your role as a senior consultant, you will design and implement NLP and other Data Science solutions for our customers
You will support the acquisition of new client projects, for example by preparing offers or holding client presentations,
You will contribute to elaborate and lead specific Value Propositions around NLP or other Data Science applications,
You will participate to continuously watch the market and technical evolution around NLP solutions.
You will actively participate to knowledge and experience sharing meetings with the team and the rest of the ELCA group
What we offer
A key role in a multidisciplinary service company, a leader in Switzerland in the field of new technologies
A pleasant working environment in a young and motivated team
Coaching by our Data Science lead experts and managers
Attractive development opportunities in various technological fields with further responsibilities
A wide range of exciting and interesting projects in various fields of activity
About your profile
For this vacancy we expect a candidate with an academic degree of a university, university of applied sciences or technical college with at least three to five years’ hands-on experience in the implementation of NLP solutions
Experience in machine learning models
Experience in information extraction
Experience in NLP applications such as dialogue systems and text classification
Flexibility to travel around Switzerland
Other skills:
Flexibility to travel around Switzerland
Good presentation and redaction skills
Speaking german is a strong plus
Your strengths include an efficient style of working both autonomous and in a team, a distinct customer focus and very good communication skills.
If you are interested in applying for this position, please send us your complete application (CV, cover letter, letter of reference, diplomas and certificates).
Dathena is a Swiss and Singaporean company developing data governance software based on machine learning an artificial intelligence. Dathena is the most complete and accurate data governance platform, and is the only solution to easily classify and manage data with this level of accuracy while helping companies to comply with regulations. Using cutting edge machine learning technology Dathena sift through all of unstructured data, allowing to regain full control on company’s information. The velocity and density of information in digital business has significant business benefits due to the insights it creates. However, it exposes new risks on how to protect this data and new privacy challenges to guide its appropriate use. Digital business requires a new view on security and privacy, one that is driven by the level of risk appetite and enablement of business and technology strategy. Job purpose This position will be part of the Client Solutions Team, and responsible for providing clients with the guidance and support needed throughout the full lifecycle of our solution’s implementation to ensure the successful and most effective use of Dathena’s products.In addition, this person will be a leader in ensuring overall client and partner satisfaction with Dathena’s products and related services.You will act as a trusted technical advisor to support our clients to ensure they remain successful and realize the full value of their investment in our product.
Responsibilities
Become a trusted expert in Dathena, our client platforms & partner vendor functionality to provide effective operational guidance around these technologies.
Oversee client service requests acting as a service delivery and escalation manager.
Help partners in their day-to-day challenges as our customers’ go-to resource for troubleshooting technical issues
Build client success and prioritization plans aligned to key performance indicators and objectives.
Ensure key accounts are updated on new product features and produce roadmaps to implement.
Educate clients on the value of the overall solution and encourage optimal utilization.
Channel customers’ feedback to the Dathena product team.
Assist in prioritizing product requirements and platform improvements by understanding and communicating customers’ needs.
Identify pattern and constantly look for opportunity to industrialize the Assessment to subscription process
Develop best practice recommendations for Dathena clients based on product and vertical experience gained in the field.
Key metrics
Customer and Partner satisfaction
Implementation duration
# of conversion of Customers to subscription
Contributions to product and sales process improvement
Desired Experience
Comfortable managing technical conversations with technical and non-technical stakeholders.
Problem-solving skills around technical, product, and business questions.
Ability to build great relationships with technical and non-technical customers
Contribute to the success of a dynamic and growing organization
Good knowledge in using query languages such as SQL, Hive, Pig, etc.
Good scripting and programming skills: Bash, Python, Scala, Java.
Good understanding of machine learning techniques and algorithms, such as K-means, k-NN, Naive Bayes, SVM, Decision Forests, etc.
Knowledge with common data science toolkits, such as R, Spark, NumPy, etc. Excellence in at least one of these is highly desirable
Knowledge with NoSQL databases, such as Cassandra and HBase
Good applied statistics skills, such as distributions, statistical testing, regression, etc.
Soft Skills
Fluent in English; French or German is a plus
Data-oriented personality
Exceptional Oral and Written Communication Skills
Time management
Interpersonal Skills
Critical Thinking
Working conditions As a critical link between the client and the development, you must fully embrace the team spirit of a young and innovative Start-up.Travel and working from remote locations may be required.Scope: Expandable to EMEA depending on expertise and company growth.
14/10/2019
Full time
Dathena is a Swiss and Singaporean company developing data governance software based on machine learning an artificial intelligence. Dathena is the most complete and accurate data governance platform, and is the only solution to easily classify and manage data with this level of accuracy while helping companies to comply with regulations. Using cutting edge machine learning technology Dathena sift through all of unstructured data, allowing to regain full control on company’s information. The velocity and density of information in digital business has significant business benefits due to the insights it creates. However, it exposes new risks on how to protect this data and new privacy challenges to guide its appropriate use. Digital business requires a new view on security and privacy, one that is driven by the level of risk appetite and enablement of business and technology strategy. Job purpose This position will be part of the Client Solutions Team, and responsible for providing clients with the guidance and support needed throughout the full lifecycle of our solution’s implementation to ensure the successful and most effective use of Dathena’s products.In addition, this person will be a leader in ensuring overall client and partner satisfaction with Dathena’s products and related services.You will act as a trusted technical advisor to support our clients to ensure they remain successful and realize the full value of their investment in our product.
Responsibilities
Become a trusted expert in Dathena, our client platforms & partner vendor functionality to provide effective operational guidance around these technologies.
Oversee client service requests acting as a service delivery and escalation manager.
Help partners in their day-to-day challenges as our customers’ go-to resource for troubleshooting technical issues
Build client success and prioritization plans aligned to key performance indicators and objectives.
Ensure key accounts are updated on new product features and produce roadmaps to implement.
Educate clients on the value of the overall solution and encourage optimal utilization.
Channel customers’ feedback to the Dathena product team.
Assist in prioritizing product requirements and platform improvements by understanding and communicating customers’ needs.
Identify pattern and constantly look for opportunity to industrialize the Assessment to subscription process
Develop best practice recommendations for Dathena clients based on product and vertical experience gained in the field.
Key metrics
Customer and Partner satisfaction
Implementation duration
# of conversion of Customers to subscription
Contributions to product and sales process improvement
Desired Experience
Comfortable managing technical conversations with technical and non-technical stakeholders.
Problem-solving skills around technical, product, and business questions.
Ability to build great relationships with technical and non-technical customers
Contribute to the success of a dynamic and growing organization
Good knowledge in using query languages such as SQL, Hive, Pig, etc.
Good scripting and programming skills: Bash, Python, Scala, Java.
Good understanding of machine learning techniques and algorithms, such as K-means, k-NN, Naive Bayes, SVM, Decision Forests, etc.
Knowledge with common data science toolkits, such as R, Spark, NumPy, etc. Excellence in at least one of these is highly desirable
Knowledge with NoSQL databases, such as Cassandra and HBase
Good applied statistics skills, such as distributions, statistical testing, regression, etc.
Soft Skills
Fluent in English; French or German is a plus
Data-oriented personality
Exceptional Oral and Written Communication Skills
Time management
Interpersonal Skills
Critical Thinking
Working conditions As a critical link between the client and the development, you must fully embrace the team spirit of a young and innovative Start-up.Travel and working from remote locations may be required.Scope: Expandable to EMEA depending on expertise and company growth.
