17 data scientist jobs found in Zürich

Zürich, Stettbach   – With work experience – 50% - 100% Zürich, Stettbach   – With work experience – 50% - 100% 40% FlexOffice   / Your department Join our dynamic Finance Data & Processes (FD & P) team within the Specialty Lines (SpL) CH & International, where we are dedicated to shaping the future of finance. As a pivotal part of our mission, we empower finance professionals across departments - such as accounting and controlling - by fostering essential data skills and providing expert support on data-driven projects. Our team actively enhances existing reports, delivers hands-on training, and enables colleagues to independently drive process optimizations using modern data tools. For larger and more complex automation initiatives, you'll collaborate closely with stakeholders, taking on either an advisory or technical leadership role depending on the project's demands. As we continue to lead the transformation of the SpL CH...

Note: By applying to this position you will have an opportunity to share your preferred working location from the following:   Mountain View, CA, USA; New York, NY, USA; Zürich, Switzerland . Minimum qualifications: Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience. 4 years of experience in data analysis or data science, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data. Preferred qualifications: Ability to present to executives with clear communication, with a demonstrated track record of cross-functional stakeholder management and leadership through influence. About the job Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global...

Location: Zurich Technology In short As a Lead Data Scientist specialized in Supply Chain Forecasting, your mission is to revolutionize how we move products globally by building the next generation of predictive systems. You will bridge the gap between bleeding-edge research—such as Time Series Foundation Models—and production-grade supply chain solutions. This is a role for an experienced forecasting expert who has experience in building forecasts that combine multiple approaches to drive metrics such as Forecast Accuracy, stockout % and On-Time-In-Full (OTIF) metrics. Your Mission Drive impact on Forecast accuracy: use a range of modelling approaches, such as advanced techniques such as Time Series Foundation Models (e.g., Chronos, TimesFM) and multi-level forecasting frameworks, to drive improvements in forecasting accuracy. Build Scalable Solutions: Design and deploy end-to-end machine learning pipelines...

Locations: Zurich, London Technology In short As a Staff Data Scientist in Supply Chain, you will play a pivotal role in shaping the future of On’s supply chain. You are a technical leader within our data science team, responsible for designing, developing, and deploying cutting-edge optimization solutions and advanced forecasting models. Your work will have a topline impact on our ability to optimize inventory, improve planning accuracy, and make data-driven decisions at a global scale. You will tackle our most complex and ambiguous challenges in our supply chain. You will not only build and implement models but also provide strategic guidance, mentor fellow data scientists, and drive the technical roadmap for forecasting at On. Your Mission Position data science to drive topline impact on the supply chain, reducing stockouts and ensuring orders are met in full, through evaluating the space and providing clarity on...

Do you enjoy solving problems, looking at problems through a different lens, and working closely with customers to innovate new solutions to complex problems? Do you jump with excitement at the opportunity to identify trends and provide unique business solutions? Do you want to join a team where learning about a new technology or solution is part of our work every day? The Industry Solutions Engineering (ISE) team is a global engineering organization that works side-by-side with customers, on a per-project basis, to collaboratively innovate custom solutions to solve their challenging business problems; from inception to production. We develop broadly applicable, high-impact solution patterns and open-source software assets in collaboration with Microsoft product teams, partners, and open-source communities. We are hiring a Data Scientist to   build and deploy AI systems at scale as part of a cross-functional team —working on projects spanning computer vision, NLP,...

At Julius Baer, we celebrate and value the individual qualities you bring, enabling you to be impactful, to be entrepreneurial, to be empowered, and to create value beyond wealth. Let’s shape the future of wealth management together. Do you aspire to be part of a high performing Analytics and Transformation team within a global Compliance organisation at the forefront of the wealth management industry? In this diverse role you will implement new technologies, manage change initiatives, develop predictive models, and perform financial and economic analysis to increase the efficiency and effectiveness of risk management. Working alongside Risk, Compliance, Analytics and Legal SMEs in highly skilled, fast-paced teams you will drive business value through collaboratively solving complex analytical problems. YOUR CHALLENGE Lead and support data analytics and business intelligence initiatives to success, with focus on Non-Financial Risk (e.g., Anti-Money Laundering (AML),...

About Us comparis.ch is Switzerland's leading comparison platform. For 30 years, we have been comparing rates and services from health insurance companies, insurance providers, banks, and telecommunications companies, among others, and offer the largest Swiss online marketplaces for real estate and cars. With comprehensive comparisons, we create transparency and help our users make the right decisions for themselves. With over 80 million visitors per year, we are one of the most frequently used websites in Switzerland. Nine out of ten people know us as THE independent comparison platform in Switzerland. Are data and artificial intelligence your passion? Do you want to transform complex data analyses into tangible insights and help shape the future of data-driven communication? Then you've come to the right place in our Communications & Research Team! We offer you a key role at the interface between data science and corporate communications. What you will do with us...

Swiss Federal Institute for Forest, Snow and Landscape Research WSL The Swiss Federal Institute for Forest, Snow and Landscape Research (WSL), with around 600 employees, is part of the ETH Domain. It focuses on the sustainable use and protection of the environment and on the responsible management of natural hazards. The Forest Resources and Forest Management research unit records and analyzes changes in the landscape and forest. In the   Forest-LENS project,   we are investigating drought symptoms in beech stands. This is based on an existing Sentinel-2 and machine learning-based processing pipeline for recording such symptoms, which is being expanded spatially and methodologically. A particular focus is on the influence of forest structure on the drought resilience of beech trees. To this end, we combine satellite-based drought indicators with forest structure information derived from LiDAR data, as well as other environmental and site data. The position is...

You bring artificial intelligence into the organization pragmatically – not as "innovation theater," but as a measurable lever for productivity and quality. You systematically examine all departments, identify the best AI use cases, prioritize them economically (ROI/Impact), and implement them   quickly   and   smoothly   together with the team leaders – from pilot to rollout. You'll do this with us Recognizing AI potential & finding use cases   : For each department, you will conduct short, structured assessments (processes, pain points, data, tools, risks). You identify quick wins (e.g., text/mail automation, knowledge search, support relief, reporting) and strategic use cases (e.g., decision support, forecasting, quality checks). You build a company-wide   AI use case backlog   with clear business cases (benefits, effort, risk, dependencies). Prioritize & implement "ASAP"   : Together with the team leaders, you set...

Be a part of the legacy: Postdoctoral Research Fellow Program Our Research Laboratories’ Postdoctoral Research Fellow Program aims to be a best-in-industry program for industrial postdoctoral researchers, designed to provide you with an academic focus in a commercial environment. With the resources, reach, and expertise of a large pharmaceutical company, postdoctoral researchers will be positioned to excel in an institution committed to breakthrough innovation in research and discovery. Position Overview: This position is in the vaccine modeling team of the Health Economic and Decision Sciences (HEDS) department withing Biostatistics and Research Decision Sciences (BARDS) at our Research Laboratories. BARDS HEDS provides strategic and analytic modeling expertise to measure and quantify the value of our company's products. As part of an agile team, the fellow will develop and support a seamless mechanism of coordination and collaboration in a dynamic area of...

Are you a customer-obsessed builder passionate about helping customers achieve their full potential? Do you have the business acumen and technical pre-sales expertise to help customers evaluate, design, and adopt AWS as their strategic platform for Generative AI and ML workloads? Do you enjoy building impactful AI solutions? Join the Worldwide Specialist Organization (WWSO) within the Data & AI Specialists team for Automotive & Manufacturing as a Senior Generative AI & ML Specialist Solutions Architect—a senior individual contributor role requiring deep technical expertise and executive-level customer engagement. The Worldwide Specialist Organization (WWSO) is part of the AWS Specialists and Partners organization, responsible for driving revenue and accelerating adoption of cloud and partner services across private and public sector customers. We work backwards from our customers’ most complex and business-critical challenges to develop and execute go-to-market...

Published on 18/06/2026 CDI  /  SII Switzerland MISSION Develop & Scale Pipelines: You design and implement robust ETL/ELT pipelines to process large, complex volumes of data (Big Data) using both code-based and visual tools. Semantic Data Modeling: You translate complex business processes into logical data models and help build a centralized, cross-departmental enterprise data model. Data Quality & Lineage: You implement automated quality checks and monitor data flows from source to end product to guarantee seamless data lineage. Code & Transformation: You write clean, high-performance code in PySpark and SQL to clean, aggregate, and prepare data for downstream analysis. Cross-Functional Collaboration: You work closely with Data Scientists, Business Analysts, and business departments to quickly translate their requirements into production-ready data structures. PROFILE Initial practical experience in Data Engineering (as a...

Published on 18/06/2026 Permanent contract  /  SII Switzerland ASSIGNMENT Build Pipelines in Foundry: You develop and scale data pipelines (ETL/ELT) directly within Palantir Foundry (eg, via Code Repositories, Pipeline Builder) and integrate data from a wide variety of source systems. Data Modeling & Ontology: You help map our data into the Foundry Ontology, making complex business logic tangible and accessible for analysts and end-users. Data Quality & Lineage: You implement health checks, monitor data quality across the entire data lineage process, and ensure that pipelines run stably. Code & Transformation: You write clean, efficient code (primarily in PySpark and SQL) to clean and transform large volumes of data. Team Collaboration: You work closely with Data Scientists, Analysts, and business departments to translate their requirements into functioning data models within Foundry. PROFILE Initial professional experience in...

Location: Zurich Technology In short As the Engineering Manager of the Data Enablement team for FinOps (Finance and Operations) you will be responsible for driving the design of data models, bringing in new data sources and building data pipelines, while leveraging SQL to provide clean, tested, documented and well-defined data. You will act as a leader for data engineers, data analysts and data scientists by providing guidance on architectural and design decisions, while evangelizing and encouraging our best practices and governance policies. Lastly you will act as a point of contact for multiple business functions and collaborate with the stakeholders to create relevant data products to enhance data adoption at On and to increase trust. Your Mission Your primary objectives as an Data Enablement Engineering Manager are: Drive Strategic Alignment & Business Impact: Partner with cross-functional stakeholders to...

80% - 100% | Lucerne | Home office possible Society, business, and administration in Central Switzerland make their decisions based on data – LUSTAT provides this data. Your work will contribute to ensuring that data from diverse sources can be efficiently integrated, reliably processed, and made usable in a modern, code-based production environment. Your tasks In this key position, you will actively shape the connection between raw data, modern data science methods, and data-driven decision-making in politics, business, and society. You will systematize the entire data process, from automated data preparation and analytical processing to dynamic provision and seamless version control. In doing so, you will create the technological foundation upon which our data products are developed efficiently, transparently, and with the highest quality. You systematically build and develop the ETL process for external data and ensure stable and, where possible,...

Minimum qualifications: PhD in Machine Learning, Computer Science, Statistics or a related field, or equivalent practical experience. 15 years of experience leading a research agenda. Experience in deep learning and experience with Python and neural network training. Experience training, evaluating, and interpreting large multimodal models and large language models. A publication record in machine learning conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, ECCV) Preferred qualifications: Experience in research leadership across organizations. Experience leading a diverse set of research scientists, research engineers, and software engineers. About the job At Google DeepMind (GDM), we’re a team of scientists, engineers, machine learning experts, and more, working together to advance artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, ensuring that safety and ethics are the highest priority....

About Flexion At Flexion, we're building the intelligence layer powering the next generation of humanoid robots. Our mission is to accelerate the transition from fragile prototypes to real-world humanoid deployment. We are founded by leading scientists in robot reinforcement learning (ex-Nvidia, ex-ETH Zürich), and backed by leading international VC firms. In just months, we’ve gone from our first line of code to deploying real humanoid capabilities. The role We are seeking an expert in dexterous manipulation and large-scale modeling to lead the development of our physical foundation models. The goal of this position is to leverage internet-scale egocentric video to build Vision-Language-Action (VLA) models that enable our humanoid robots to interact with the world with human-like fluidity. You bring a deep understanding of how to bridge the gap between observing human actions in video and executing high-DOF (20+) motor control. As a Research Engineer for Dexterous...