55 Data Engineering jobs

The ideal candidate will be a hands-on data scientist, quantitative epidemiologist or statistician with experience in large-scale healthcare data analysis. S/he will have experience working with a variety of data sources, such as clinical trial data, electronic health record data, insurance claims data, and disease/patient registry data. The candidate must also have a demonstrated ability to actively listen, integrate input from diverse sources, and collaboratively translate medical or business questions into data and analysis requirements and a clear path forward. Overall responsibilities include : Directly participate in multiple analytics projects Collaboratively develop analysis plans based on clinical or business questions, and lead their execution through the use of existing analytic approaches or the development of novel ones. Interpret data analysis results in clinical or business context, and articulate the implications of the results to the business function Represent the IKU Data Sciences group and its capabilities in meetings with nontechnical peers Work in a fast-paced multidisciplinary dynamic environment, and as necessary create examples, prototypes, demonstrations to help the business better understand innovative solutions Collaborate with team members to meet project checkpoints and accomplish team objectives Key competencies, skills, and attributes: Advanced knowledge of a subset of analytical approaches (ex. statistics, predictive modeling, visual analytics) and the desire to continually learn and grow your analytical skillset Ability to work with structured and unstructured data Excellent communication skills with an ability to communicate complex matters in laymen’s terms Ability to multi-task and handle numerous complex relationships at a time Demonstrated ability to engage in effective joint problem-solving to address key challenges Education and Experience Guidelines: 1+ years experience in pharmaceutical / biotechnology / healthcare / health IT industry Masters degree, or equivalent experience, in Biostatistics, Epidemiology, Computer Science, Statistics, Mathematics, or related field with a substantial statistical component At least 1 year experience in observational healthcare data analyses Technical Experience Guidelines: Advanced hands-on knowledge of R and/or Python Working knowledge of SQL and relational databases Experience analyzing data from traditional healthcare databases (electronic medical records, claims, etc) is preferred Experience with Hadoop platforms (ex Cloudera, Hortonworks) and related “big data” technologies is preferred Experience working in Cloud Computing environments (ex AWS, Azure, etc) is preferred About Us COMMITTED TO IMPROVING THE LIVES OF PATIENTS WORLDWIDE At Celgene, we seek to deliver truly innovative and life-changing drugs for our patients. Our vision as a company is to build a major global biopharmaceutical corporation while focusing on the discovery, the development, and the commercialization of products for the treatment of cancer and other severe, immune, inflammatory conditions. "At Celgene, we seek to deliver truly innovative and life-changing drugs for our patients."

Senior Data Scientist - Recommendation Engine Darwin are partnered with a leading Travel Company based in Geneva who are currently looking for a Senior Data Scientist on a 6 month initial contract to help define the architecture and develop the proof of concept on their latest project, a recommendation engine on their website. The ideal Data Scientist will be able to provide examples of successful projects they have worked on building recommendation engines. This is an English speaking project offering 2 days a week remote and offers a fantastic opportunity to work with a globally recognised leader in the travel market. Please contact me with an updated CV, your availability and daily rate expectations to ryan.green@darwinrecruitment.com

My client, is a global data & analytics consultancy with a key focus on deriving solutions in the broad fields of Business Intelligence, Data Analytics, Artificial Intelligence and driving business performance. They're data setup is diversified, scaling heavily across the Engineering, Analytics and Data Science space. As part of the next phase of their growth they're looking to grow and scale the Data Analytics team to work in tandem with their Engineering/Data Science teams to offer a consolidated solutions to their clients across various industries (Finance, Automotive, Travel and more). Responsibilities: Prepare and implement POC workshops, training and project organisation particularly utilising Microsoft Data, BI & Analytics services). Deliver project management activities - Creating project expense estimates, projects and resource planning. Manage and cleanse data making sure of the validity and quality for varying client requirements. Provide collaboration with Data Scientists and Engineering teams enabling Machine Learning and advanced analytics projects. Requirements: Passionate about building analytics solutions and working closely with customers. Background in implementing cloud platforms (Microsoft Azure, AWS) Deep technical knowledge in Microsoft SQL, Power BI, SQL, DWH, DataLake or similar technologies. Understanding and ability to work in a team, management skills and ability to liaise with stakeholders. Deep knowledge of cloud technologies including Data streaming, Machine Learning and Big Data topics. German and English speaking. Willingness to travel regularly. If you're working as a Data specialist looking for that next step up, working on state of the art technologies across various industries and providing bespoke solutions to all types of companies do get in touch at   Daniel.Neaves@darwinrecruitment.com   along with your CV and a suitable time to speak.

For a project at client in Basel, we are looking for an experienced Data Engineer – ETL / Python. QUALIFIKATIONEN Several years’ experience in Data Engineering with ETL and Python Well versed with Databricks and/or Apache Spark Experinces in implementing ETL processes to standardize and automate data movement transformation Deep understanding of agile project and development methods Experience in data modeling and handling large amounts of data - solid knowledge of SQL Strong problem solving and analytical skills with the ability to work with global project teams Fluent in English, German is a big advantage AUFGABEN Design and implement the technical processes (data pipelines) to ingest, catalog, curate, unify, and integrate data Will need to collaborate with scientists, data managers, and technology teams to document and leverage their understanding of the data and actively participate in agile work practices Adopt and improve on the strong engineering practices followed by technology teams Deliver clear, maintainable, and well-tested code in a timely manner

For a project at our client ‘s site, an international bank based in Zurich, we are looking for a IT Business Analyst – Credit Risk Data Integration. In this project, a compliant infrastructure has been built and processes are set up to report worldwide PB (Private Banking) Credit Risk Data on the granular level into a harmonized dashboard. The candidate will now perform Data Quality analysis as a basis for automated integration on further reporting requirements. QUALIFIKATIONEN 5-7 years of business requirements analysis and change experience within a large financial institution Excellent understanding of credit risk discipline from data quality and data analysis perspective Experience with credit risk data integration and strong track record of defining and documenting effective and comprehensive business rules for data integration Familiarity with business processes, financial products, credit risk management and regulatory requirements (e.g. BCBS239, etc) Strong Excel (Pivot tables) and SQL skills (writing scripts) Fluent in English (written/verbal), German is an advantage AUFGABEN Close engagement with local Risk Managers as well as Risk & Finance Data Provisioning, and other Risk- Change functions to understand how the local business is booked in the local system and create according business rules for integration into the central data vault Supporting local Credit Risk Managers and Risk & Finance Data Provisioning BAU team as second level for month end closing and root cause analysis (incl. training where necessary) Perform Data Quality analysis as basis for later automated integration

Nexthink is a global leader in Digital Employee Experience. Our product allows enterprises to create highly productive digital workplaces for their employees by delivering optimal end-user experience. Through a unique combination of real-time analytics, automation and employee feedback across all endpoints, Nexthink helps IT teams meet the needs of the modern digital workplace. Headquartered in Switzerland, Nexthink also has offices in France, UK, Germany, Spain, UAE, Saudi Arabia, Australia and the US. Our growing team of Nexthinkers is proud to be making the digital work lives of seven million employees across 1,000 customers more productive. Thanks to our fantastic growth we are looking for new rock stars! Job Description We are looking for a   Business & Data Analyst   reporting to the Head of Sales Operations. This role will work closely with Sales and Marketing functions, Finance and Customer Success organization. It is a unique opportunity to join a booming Software Business environment in a role that will directly impact business agility and success. Primary Responsibilities: · Data Audit, Stewardship & Governance . Understand Nexthink’s end to end systems and processes, Identify Data reliability breach sources, and Propose fixes of Master Data Elements and transactional flows at stake. Plays as the data integrity guardian. Project Member . Drive all relevant Cross functional initiatives for new process, new system introduction as well as projects aiming at connecting Enterprise systems. Business Analyst . Review, Analyze and help steer Business reporting processes and structure; including but not limited to Marketing leads, Pipeline Waterfall, Performance KPIs (Go to market, Regional, Channel, Discounts etc…) Seniority level: Mid-Senior Level  Function: Analyst Qualifications Analytical curiosity - Enjoy playing “Helicopter” Analytics and deep dive into core data source. Process & System minded. Business Savy – Understand Business processes, challenges and requirements. Passion for Business support, and extra mile mindset will be key differentiator in candidate selection. Sense of ownership, Result driven. Project Management skills and experience. Problem solving & Prioritization skills. Team player - Interpersonal communication skills. Multi tasks in fast paced environment. Understand Data Management criticality. Bachelor’s Degree in business systems, computer science, information technology, or related field.  Minimum 5 years’ experience in similar role. Software industry experience a plus. CRM SFDC a must. Fluent English a must, Fluent French a plus. Strong command on Microsoft Office a must.

Hitachi Vantara, a wholly owned subsidiary of Hitachi, Ltd., helps data-driven leaders use the value in their data to innovate intelligently and reach outcomes that matter for business and society – what we call a double bottom line. Only Hitachi Vantara combines 100+ years of experience in operational technology (OT) and 60+ years in IT to unlock the power of data from your business, your people and your machines. We help enterprises store, enrich, activate and monetize data for better customer experiences, new revenue streams and lower business costs. The Role A customer-focused technical sales professional who leads the pre-sales effort by creating opportunities and partnering with the Account Manager to build a customer-centric sales value proposition. For the a few Enterprise customers, the remit is to establish a trusted relationship and strong understanding of the customer’s business, translating business needs into technical requirement and developing and presenting a technical vision, business case and physical solution specifically modelled for their customer. The Solutions Consultant owns the technical customer relationship and leverages strong technical and interpersonal skills to lead technical discussions and apply advanced subject matter expertise, providing guidance on current market landscape and challenges, industry trends, and the Hitachi Vantara vision.  Solution Design: Interview prospects to determine business and technical requirements and determine a technical fit. Custom Presentations: Create compelling customized presentations tailored to prospects’ use case and vertical. Custom Demonstrations and Proofs-of-Concept:  Hands-on development using the Pentaho platform and related technologies. Product Expert: Conduct technical Q&A sessions and demonstrations around Hitachi Vantara product features, installation, configuration, and best practices. Lead Evaluations: Design and scope focused evaluation plans that uniquely position Hitachi Vantara, are tied to prospect requirements, and prove out business value. Teamwork: Collaborate with big data experts, data scientists, consultants in Hitachi Vantara to deliver advanced custom demonstrations, workshops, and POCs. Continual Learning: A passion for learning new technologies as needed. Creative troubleshooting of issues that require solutions or innovative work-a-rounds High Impact: Key stakeholder in collaboration with marketing, product management, engineering, and professional services across Hitachi Vantara.   Required Experience  Analytics Experience: 3+ years of experience in designing, implementing and supporting big data projects (e.g. Hadoop, NoSQL, Spark). Sales Experience: 2+ years of presales experience supporting enterprise software sales cycles Technology: Advanced big data implementation and java architecture experience as well as understanding of data integration and data warehousing. Hands-on Hadoop experience ETL, data warehousing, data engineering, data integration Relational databases (e.g. Oracle, MySQL, PostgreSQL, generic SQL, JDBC Java programming BI Tools (e.g. Tableau, Qlik, MicroStrategy) Security systems (e.g. LDAP, SSO, Kerberos) Advanced analytics (e.g. R, Scala, Python, Weka, SAS) Operating systems (e.g. Linux, Windows, shell scripting), strong communication skills, fluent in German and English (written & spoken),  Education: B.A. or B.S. Degree from an accredited university (may substitute an Associate degree plus 4 additional years of experience). We are an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

Hitachi Vantara, a wholly owned subsidiary of Hitachi, Ltd., helps data-driven leaders use the value in their data to innovate intelligently and reach outcomes that matter for business and society – what we call a double bottom line. Only Hitachi Vantara combines 100+ years of experience in operational technology (OT) and 60+ years in IT to unlock the power of data from your business, your people and your machines. We help enterprises store, enrich, activate and monetize data for better customer experiences, new revenue streams and lower business costs. Role Purpose We are currently looking for a Technical Expert (TE) who is a highly skilled, technical sales professional responsible for providing design expertise on high value opportunities in Storage and Data Protection technologies. By consistently exhibiting a proactive approach to your activities, you will be collaborating with other presales resources, the account team, and partners, to develop winning and innovative solutions and proposals by leveraging expertise and technical depth in your specialization and complimentary technologies and services. Seen as a subject matter and industry expert, you will leverage a consultative approach to understand customer / partner technical and service requirements within area of specialization, including an advanced knowledge of the competitive landscape. As a technical advisor in your District/Critical Mass Territory (CMT) for field / partner enablement and market awareness activities, as well as being the District/CMT leader of the technical strategy, you must possess strong technical and interpersonal skills to proactively lead technical discussions with the customer, partner and account teams. Through your technical domain expertise for a specific solution family, and your ability to translate technology values into a business value proposition and business outcome, your role will be critical to the presales solution sales process.  Given the importance of this role and the intentional solution expertise focus, you must be able to support multiple sales campaigns concurrently while serving as the domain expert for account teams and their customers.  Key responsibilities Provide the technical domain expertise for a specific solution family and considerations for designing an effective solution Translate technology values into a business value proposition and business outcome Actively supports the account team with product advice, proposal support, presentations, and other customer communications Drive detailed, technical presentations, demos and proofs of value, either live, virtual, or through the Pre-Sales Center of Expertise. Follow-up with customers as needed Align and Lead in the development of key architectures and solutions working closely with our Ecosystem ISV and strategic alliances Be a source of technical information to the field sales, customers and partners for the assigned solutions area Develop and Execute reference architectures that support the repeatable “Sales Plays” and are differentiated in the marketplace Required Qualifications & Experience Requires more than 10 years related experience of which at least 5 years of experience and demonstrated leadership in technology specialization of Storage and Data Protection – Skills in Block and NAS solutions, Full Flash, Software Defined Storage, Scale-out architecture, Virtualization, Management Software stacks, Competitive knowledge – DellEMC, Pure, HPE, Netapp, IBM... Mesurable Gain Assessment, Automation and consumption models. More than 7 years technical sales experience or related field experience with customer interaction In-depth technical consulting skills with domain expertise in virtualization technologies (Vmware Containers, Openstack), including ability to ask probing questions, obtain deep understanding of business and technical needs, define trade-offs, and recommend appropriate Hitachi Vantara solution capabilities into a broader technology and services environment, and expertly defend recommendations in competitive environments Design & Architecture Skills in complex, multi-DC environments including lifecycle and Data Protection Automation knowledge of IT-Workflows Skilled in Performance optimizations and Business Critical environment Experience in building agile, service-oriented Data Centers Extremely strong relationship skills and executive-level presence Strong leadership, communication, and technical skills Recognized as a subject matter expert in your primary technology domain, including in-depth knowledge of: Hitachi Vantara and industry technologies, architectural approaches, applications, services, vendors, partners, and systems relevant to their industry Persuasive presentation and public speaking skills – must be fluent in German and English. Able to command an audience while articulating a meaningful message Self-motivated, self-starter and results oriented Able to work in unstructured environments and situations, and prioritize effectively with minimal supervision Exercises significant independent judgment within broadly defined policies and practices to determine best method for accomplishing work and achieving objectives.  Strong negotiation skills Post graduate course work may be desired. Great careers start with innovation and here at Hitachi Vantara, our promise is to deliver insights that power smarter businesses and inspire social innovation solutions for a healthier, safer future. The key to our innovation is our people -- our culture values respect, diversity, and collaboration. Join our Hitachi family and together, let’s lead the way to extraordinary! We are an equal opportunity employer. All applicants will be considered for employment without attention to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

MSD is a global health care leader with a diversified portfolio of prescription medicines, vaccines and animal health products. The difference between potential and achievement lies in the spark that fuels innovation and inventiveness; this is the space where MSD has codified its 125-year legacy. MSD’s success is backed by ethical integrity, forward momentum, and an inspiring mission to achieve new milestones in global healthcare. Our manufacturing division is a team of dedicated, energetic individuals who are committed to being the most trusted supplier of pharmaceuticals and health products worldwide. Our facilities, along with our external contractors, suppliers, and partners, comprise an interdependent global manufacturing network that’s committed to delivering a compliant, reliable supply to customers and patients on time, every time, across the globe. The Supply Chain Data Scientist is part of the Integrated Business Planning team and is responsible for the execution of data-driven, self-regulating supply chain operating models utilizing data science algorithms as well as state-of-the-art technologies. Moreover, the Supply Chain Data Scientist will coordinate all data-related supply chain configuration and parameterization activities. Primary activities include, but are not limited to:  Data Science Support the data lead in the analytical framework for data analytics based on an understanding of business requirements and operational processes Extract relevant information from available data sources for further analytical processing, e.g. data mining Process, cleanse, and verify the integrity of data used for analysis Conduct data analyses, develop mathematical models, implement prototypes, and guide the team conceptually Determine optimal mathematical approach to business optimization requirements (e.g. clustering, decision tree, machine learning) Interpret modeling results in a business context, discuss with business partners, and incorporate data-driven decision-making in operations Identify new strategic application areas and use cases Coordinate collaboration with different functional teams to implement models and monitor outcomes Serve as interface between business and IT departments Validating achieved process performance with meaningful KPIs   Focus: Supply Chain Segmentation & Parameterization Execute data-centric Supply Chain Operating models Drive the segmentation of business objects in the supply chain (e.g. products, markets, customers) on the basis of mutual characteristics Coordinate the identification and assignment of tailored strategies to identified segments Implement custom-fitted planning processes according to the specific requirements of each segment Execute globally parameter calculation framework (calculation methods, frequency, etc.) and provide guidance for local functions Enforce the definition of global planning parameters (e.g. lead times, MOQ, order cycles) with the means of SC segmentation and data-driven algorithms to enable SC model configuration and to optimize service level, cost, and inventory (with Sales, Production, Purchasing, etc.) Be a member of the community of practice to refine of planning & inventory strategies Develop processes and tools to monitor and analyze model performance and data accuracy Ensuring continuous improvement based on the evaluation metrics of model performance Doing ad-hoc analysis and presenting results in a clear manner Qualifications Minimum Requirements Pro-active, result driven, and target oriented execution of role High motivation to strive for and facilitate the overall company optimum Distinct understanding of organizational culture and dynamics Professionalism and maturity required to effectively interact with senior management Strong project management skills Ability to produce outstanding creative and analytical solutions based on  thorough analyses of complex processes and business relationships Additional Skills Specific professional competencies Advanced Supply Chain process knowledge Excellent understanding of supply chain configuration and supply chain planning and proven track record in related roles Excellent understanding of business processes and supply chain principles and practices Excellent understanding of Supply Chain Configuration & Parametrization principles Excellent understanding of Supply Chain Setup & Segmentation frameworks Strong experience in supply chain performance measurement, identification & application of error metrics, root-cause analysis, etc. Excellent understanding of pharmaceutical supply chain specifics Good understanding of the company’s supply chain network   Technical & language skills Advanced analytical and conceptual skills (ideally with a certification of an established education instance, e.g. IBM Watson IoT Data Science certification) Excellent understanding of machine learning algorithms (Clustering, Neural Networks, Decision Trees) Excellent knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications Excellent knowledge of and hands-on experience in application of “Cross Industry Standard Process for Data Mining” (CRISP-DM) Experience in analyzing complex datasets and building mathematical predictive and prescriptive models in a practical business context Excellent command of English with a second / third language preferred Practical experience in working with Kinaxis software, esp. knowledge of the Rapid Response data model, etc. Your role at MSD is integral to helping the world meet new breakthroughs that affect generations to come, and we’re counting on your skills and inventiveness to help make meaningful contributions to global medical advancement. At MSD, we’re inventing for life.  Search Firm Representatives Please Read Carefully:    MSD is not accepting unsolicited assistance from search firms for this employment opportunity.  Please, no phone calls or emails.  All resumes submitted by search firms to any employee at MSD via email, the Internet or in any form and/or method without a valid written search agreement in place for this position will be deemed the sole property of MSD.  No fee will be paid in the event the candidate is hired by MSD as a result of the referral or through other means. Job :   Supply Chain Dev&Optimization Primary Location :   EMEA-Switzerland-LU-Luzern Employee Status  :   Regular Number of Openings :   1 Company Trade Name : MSD

The rapidly growing Forensic Technology & Discovery Services department is currently seeking the right candidate for an excellent career opportunity in the IT Investigation and eDiscovery (“eDisc”) team. This team represents a critical component to EY’s FTDS growth strategy and is where much of the innovative early thinking takes place. http://www.ey.com/CH/en/Careers   The eDisc team is a global group of technical specialists that will engage in cases of fraud investigation, disputes and litigations for our clients. The nature of our work typically requires collecting large datasets, processing and structuring the data, performing forensic analysis about the content as well as creating reportings and visualizations for the final review. In our work, we use advanced concepts relating to all fields of IT forensic analysis, Data science, automation and artificial intelligence.   While we cover IT investigation and eDiscovery workflows, we always aim to find related fields where we can use our skillset based on handling big data, building frameworks or small applications and structuring, automating or categorizing information. We work closely together with the internal Cyber Security and Robotics team and assist other Business Units whenever IT intelligence is required. If you like working on client engagements and are interested in providing all kinds of IT solutions that puts the customer in focus, you will have a unique, career changing opportunity to play a key role in the growth and strategy of the eDiscovery group. Tasks that you promote Working in engagement teams, carrying out both reactive and proactive data analysis of large volumes of unstructured and structured data. Working with clients, fraud investigators, internal and external auditors, lawyers and regulatory authorities in sensitive and sometimes adversarial situations. Working in our specialist forensic technology labs and on client site to help clients leverage knowledge from their data through the application of advanced analytics Innovating and developing new methodologies and processes, and bringing solutions to existing and future clients. Your profile to succeed together Degree (Bachelor or Master) in all fields related to Computer Science Broad knowledge of the interaction between Software and Hardware and everything related to the data universe Experience with SQL,Ruby scripting or other programming languages would be beneficial Solid knowledge of IT environments, networking, server architecture and IT security Experience in collecting, processing and analysing large volumes of unstructured and structured data is advantageous Practical experience in a similar type of work is of advantage Excellent problem solving skills Excellent written and verbal communication skills in English (German optional) Strong analytical, technical, and interpersonal skills More opportunities for your development Do you have challenging plans? Stick to them and realize your goals with us! Design your career with  EY  in a culture that promotes diversity and education. In an environment that constantly opens new doors through knowledge sharing, flexibility and recognition. We offer you to join our highly motivated team of advisory professionals. You will be working and learning in a highly dynamic and cross-functional team - being able to boost your learning curve through the combination of intensive team work, challenging client projects and being part of the network of one of the world's leading professional services firms.   Mr Jona Fahrlaender is looking forward to receiving your application Do the next step and apply for this position online. Job-ID SWI000JS. Only direct applications are considered.

EY is a global leader in assurance, tax, transaction and advisory services. The insights and quality services we deliver help build trust and confidence in the capital markets and in economies the world over. We develop outstanding leaders who team to deliver on our promises to all of our stakeholders. In so doing, we play a critical role in building a better working world for our people, for our clients and for our communities. Visit us at http://www.ey.com/CH/en/Careers As the only one of the Big 4 with a specialist cross-border practice dedicated to the Financial Services Sector, we offer our clients seamless, consistent and high-quality service around the globe. Our Advisory business offers a broad range of functional and cross-country services dedicated to providing high-value and trusted advice to clients, with a specific focus on business transformation programs in the Financial Services industry.   We are currently looking for motivated and committed consultants to further strengthen our practice within the FSO Advisory Risk Management team in Zurich.     Tasks that you promote Advisory engagements where you will support our clients (financial institutions ranging from leading global market players to more regional focused institutions) in financial risk management related challenges ranging from the review or development of firm wide quantitative models for measuring various risks like market risk, credit risk, operational and fraud related risks to the valuation of complex derivatives incl. applying advanced analytics. Support audit mandates where you will support our audit teams in the areas of the valuation of financial products and contracts / physical assets and validation of all kind of risk related models. Developing your technical and social skills in particular through internal and external training opportunities incl. obtaining professional degrees like GARP ERP or FRM.   Your profile to succeed together  A Master of Science or PhD in a quantitative field (mathematics, physics, statistics, financial or computational engineering, econometrics) A strong interest in financial risk management and/or applying advanced analytical methods like machine learning in the financial risk management world Good knowledge of programming or DB languages like VBA, Matlab, Python SQL, R and C # (or other) allowing you to analyze data, implement quantitative algorithms and develop solutions Good knowledge of a development environment and experience implementing predictive models and machine learning is a plus Fluent in German or English Excellent interpersonal and communication skills and the ability to demonstrate initiative and a flexible working style within a multi-national team. More opportunities for your development           Do you have challenging plans? Stick to them and realize your goals with us! Design your career with  EY  in a culture that promotes diversity and education. In an environment that constantly opens new doors through knowledge sharing, flexibility and recognition. We offer you to join our highly motivated team of advisory professionals. You will be working and learning in a highly dynamic and cross-functional team - being able to boost your learning curve through the combination of intensive team work, challenging client projects and being part of the network of one of the world's leading professional services firms. The Recruiting Team is looking forward to your application Take the next step: apply for the position (job ID: ZUR0017K) online on our jobs portal! If you have any questions, feel free to contact our recruiting team ( Recruitment.Switzerland@ey.com / +41 58 286 33 66).  

The rapidly growing  Forensic Technology & Discovery Services (“FTDS”)  department is currently seeking the right candidate for an excellent career opportunity in the eDiscovery  (“eD”) team  in Zurich. Being part of the Fraud Investigation & Dispute Services (“FIDS”) department the innovative  eD team  is involved in conducting investigations into fraudulent behavior and activities of misconduct to prevent or combat fraud, bribery and corruption.   The  eD team  is a global group of technical specialists that apply technical skills to the full life cycle of data management, including data scoping, processing and analysis, reporting and visualization, as well as presentation for review. This incorporates advanced data analysis technologies such as machine learning, correlation engines, social network analysis, statistical as well as natural language analysis, predictive coding, and heavy automation. Our  FTDS  data center provides state of the art forensic technology infrastructure and tools necessary to uncover even the most complex cases.   You will have a unique, career changing opportunity to play a key role in the strategy and growth of the eD team.   Tasks that you promote Working in engagement teams, carrying out both reactive and proactive data analysis of large volumes of unstructured and structured data. Working with clients, fraud investigators, internal and external auditors, lawyers and regulatory authorities in sensitive and sometimes adversarial situations. Working in our specialist forensic technology labs and on client site to help clients leverage knowledge from their data through the use of best of breed forensic technologies. Innovating and developing new methodologies and processes, and bringing solutions to existing and future clients. Acting as a role model for more junior team members, providing them on-the-job coaching and training. Supporting the leadership team and the project manager on the operational level.     Your profile to succeed together Degree (Bachelor or Master) in Computer Science, Applied Mathematics, or related fields. Good working experience with SQL and other scripting or programming languages. Experience in using eDiscovery tools as Relativity, NUIX and additional eDiscovery platforms. At least 3 years of practical experience in a similar type of work. Solid knowledge of IT environments, networking, server architecture and IT security. Excellent problem solving skills and strong analytical and technical skills. Assertive and proactive approach to the delivery and implementation of projects, as well as the ability to network and build relationships effectively within large organizations and clients. Excellent verbal and written communication skills in English is required – German and any additional language is a plus.   More opportunities for your development Do you have challenging plans? Stick to them and realize your goals with us! Design your career with  EY  in a culture that promotes diversity and education, in an environment that constantly opens new doors through knowledge sharing, flexibility and recognition. We offer you to join our highly motivated team of professionals. You will be working and learning in a highly dynamic and cross-functional team - being able to boost your learning curve through the combination of intensive team work, challenging client projects and being part of the network of one of the world’s leading professional services firms.   Jona Fahrländer is looking forward to receiving your application Do the next step and apply for this position online. Ref No:ZUR00150. For further information please contact our recruitment team ( Recruitment.switzerland@ey.com / +41 58 286 33 66).   Only direct applications will be considered  

Nexthink is a global leader in Digital Employee Experience. Our product allows enterprises to create highly productive digital workplaces for their employees by delivering optimal end-user experience. Through a unique combination of real-time analytics, automation and employee feedback across all endpoints, Nexthink helps IT teams meet the needs of the modern digital workplace. Headquartered in Switzerland, Nexthink also has offices in France, UK, Germany, Spain, UAE, Saudi Arabia, Australia and the US. Our growing team of Nexthinkers is proud to be making the digital work lives of seven million employees across 1,000 customers more productive. Thanks to our fantastic growth we are looking for new rock stars! Job Description We are looking for a   Business & Data Analyst   reporting to the Head of Sales Operations. This role will work closely with Sales and Marketing functions, Finance and Customer Success organization. It is a unique opportunity to join a booming Software Business environment in a role that will directly impact business agility and success. Primary Responsibilities: · Data Audit, Stewardship & Governance . Understand Nexthink’s end to end systems and processes, Identify Data reliability breach sources, and Propose fixes of Master Data Elements and transactional flows at stake. Plays as the data integrity guardian. Project Member . Drive all relevant Cross functional initiatives for new process, new system introduction as well as projects aiming at connecting Enterprise systems. Business Analyst . Review, Analyze and help steer Business reporting processes and structure; including but not limited to Marketing leads, Pipeline Waterfall, Performance KPIs (Go to market, Regional, Channel, Discounts etc…) Qualifications Analytical curiosity - Enjoy playing “Helicopter” Analytics and deep dive into core data source. Process & System minded. Business Savy – Understand Business processes, challenges and requirements. Passion for Business support, and extra mile mindset will be key differentiator in candidate selection. Sense of ownership, Result driven. Project Management skills and experience. Problem solving & Prioritization skills. Team player - Interpersonal communication skills. Multi tasks in fast paced environment. Understand Data Management criticality. Bachelor’s Degree in business systems, computer science, information technology, or related field.  Minimum 5 years’ experience in similar role. Software industry experience a plus. CRM SFDC a must. Fluent English a must, Fluent French a plus. Strong command on Microsoft Office a must.

An innovative customer of mine in Zurich is looking to develop a Data Science team as part of the continued success of the business. This company is a really interesting start-up with an innovative sensory product that will connect society more efficiently to allow people to keep autonomy. This product is used by both private customers as well as organisations who can benefit from it's findings and predictive information. After releasing the product last year, the business is looking to develop a data science team in order to help the business move onto the next level. You could be one of the first members of this team in a role where you would analyse behavioural time series data gathered from sensors to extract predictive information using state-of-the-art data science tools. You would also be responsible for developing and designing the data science framework running on AWS infrastructure. My customer is looking for someone who has a strong background working as a Data Scientist with a focus on time series modelling, machine learning and deep learning. Experience with a range of tools including Apache-Spark and cloud experience in AWS or Google is needed. Any knowledge or experience in sensors, IOT or image processing would be a big advantage as well as having advanced experience in Python including TF, Pandas, SciKitLearn etc..... If you think your profile is a good match for this position and you'd like to find out more, please send your CV and we will arrange a time to speak to discuss further.

Inmarsat has been at the forefront of global mobile satellite communications for over thirty years, and is the market leading provider of voice and high-speed data communications for users on land, at sea and in the air through its constellation of 12 geostationary satellites.  Inmarsat plc is a FTSE listed company with a profitable track record and significant growth aspirations. This is represented by more than 55 nationalities in the workforce, reflecting the global and dynamic nature of the business. With an investment of over $3 billion in its latest network infrastructure, Inmarsat is at the forefront of global mobile communications innovation. Maritime Inmarsat’s Maritime business unit is the leader in global mobile satellite communications at sea. Thousands of vessels rely on our unrivalled end-to-end service availability and coverage for operational communications and safety services.  We offer the broadest portfolio of mobile voice and data solutions on the market, so we can meet the needs of all types and size of vessel – and every budget. Primary Role Purpose: This is an outstanding opportunity to join a dynamic, successful and market-leading organization in a high profile position focused on solving business challenges and improving strategic marketing effectiveness supporting the business growth of the Inmarsat Maritime Business Unit. With a proven record of effective use of data for business practices, the Candidate will lead Maritime Business Unit data science activities. You will use advanced modelling and statistical methods to gain insight, support data driven informed decisions, deliver recommendations based on business objectives and improve the Unit overall operations and customer acquisition/retention/experience. Key Responsibilities: Build and present reliable/robust predictive and prescriptive tactical and strategic insights based on advanced statistical modelling and/or machine learning methodologies for solving key business challenges. Formulate proposals for better use of data science (e.g. analysis methodologies, data architectures) and advise about improvement to marketing tactics within the Maritime Business Unit and, where appropriate, lead the execution of such proposals. Support the Maritime Business Unit Market Intelligence Team in performing market analyses and modelling of customer behaviour leveraging a combination of internal and external customer data. Work with other stakeholders and data scientists throughout the Inmarsat organization (such as within Finance, Operations and Product departments) to identify opportunities for leveraging company and external data to drive business solutions and improve the company practices in different domains. Work as an integral part of the Maritime Business Development team, collectively responsible for the delivery of business growth, new business models, market intelligence and strategy formulation. Qualifications Essential Knowledge and Skills: Master’s or PHD in a quantitative field of study (e.g. Statistics, Applied Mathematics, Computer Science with Data Science as a recognised discipline) and relevant industry experience. Proven experience of creating and applying machine learning algorithms and statistics: regression, simulation, scenario analysis, modelling, clustering, decision trees, neural networks, etc. and their advantages/drawbacks across various business/commercial practices using various types of datasets. Advanced understanding of databases and proven experience of working with and creating enterprise data models and data architectures. Analytics software knowledge and experience in visualizing/presenting data for stakeholders using various data visualisation tools (e.g.Tableau, Alteryx and D3.js). Proven experience developing with and using SQL and scripting languages including R and Python. Understanding of marketing mix modelling and analysis and general strategy/marketing principles and theory Ability to comprehend complex contexts and to communicate ideas in a simple business language to stakeholders from CXOs to junior analysts. Presence and charisma to convince any audience of the route to success and with the ability to build strong and powerful relationships. An aptitude for strategic development and implementation. Demonstrable track record of integrity and commercial acumen.   Desirable Knowledge and Skills: MBA and/or equivalent experience in Strategy and/or Marketing. Knowledge of satellite Communications. Knowledge of the Maritime industry. Language Skills.  Additional Information You must be eligible to work in this location advertised. Inmarsat Values:  Our values define Inmarsat’s culture and represent what we believe in. Inmarsat employees aspire to certain behaviours which support our corporate values, they create a stronger working environment and lie at the heart of our continued success as an organisation. Accountability – taking ownership, getting results and keeping our promises Respect – collaborating, embracing diversity and valuing differences Excellence – creating bold solutions for our customers and putting quality at the heart of everything we do

We are specifically looking for: BSc or MSc in Computer Science or a related field Real passion for collaboration and strong interpersonal skills Experience crafting and implementing high-performance microservices serving millions of requests a day and stream-processing of large data sets (Kafka experience is a big plus) Strong grasp of database structure, design, query languages (e.g. SQL), large data sets, distributed systems, fundamentals of mathematics and statistical concepts Experience in building data pipelines, processing services and models in Python (airflow, scikit-learn or pandas know-how is a big plus) Experience in at least one statically typed language. We use Java, Scala and Go Ideally knowledge/interest in Linux, Docker and container orchestration frameworks, such as Kubernetes Whom you'll be working with: We're a fun bunch of people and we have an open, casual and inclusive atmosphere, where everyone encourages each other to share their opinions, interests and weird hobbies. You'll be working with different people in the company, sometimes across offices. Over lunch you will have the tough choice of in-house canteen, many outside options (or only Thai food according to a few), and the option to do some sports with your teammates (bouldering, volleyball, basketball, gym and more). What we offer: The chance to create the AI behind Doodle Make an impact for millions of users We are home-office and remote work friendly, matched with flexible working hours Your personal growth is important to us. So, you will have a personal, yearly budget for educational courses, conferences etc. Sunny, open offices in central locations in Berlin, Zurich, Belgrade & Tel Aviv. Yes, you get to travel there too. This includes a once per year budget to do so, even if there is no specific business reason Top-spec hardware: you choose your setup So, get in touch! Doodle provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. We believe that a diverse team makes for better products and a better workplace. Our team comes from all over the world (representing 20 nationalities) and from diverse backgrounds.