7 statistics jobs found

Data Science Research Assistant / Data Lake Engineer (m/f/d) 70 % (limited, by 01.08.2026) Your tasks Responsibilities and Project The position supports the development of a research data lake for empirical work with large-scale financial, textual, licensed, and partly confidential datasets. The objective is to build a robust, well-documented, and reproducible data infrastructure that allows researchers to ingest, store, process, document, and analyze data efficiently and securely. Research and infrastructure tasks will include data engineering, coding, documentation, and coordination with researchers and IT/platform providers. Core tasks include, among others: Design and implementation of the research data lake Support the design of a scalable data architecture for approximately 5 TB of research data Structure data into raw, cleaned, and analysis-ready layers Develop clear naming conventions, folder structures, access rules, and...

DB&L Services was established in 2007 as part of a group of companies specializing in managing and supporting IT system integration and engineering projects for clients in Switzerland and abroad. We are a highly experienced and passionate team with more than 20 years of experience in Project Management, Architecture, System Engineering, and Software/Product Development and we are committed to deliver excellence and lasting success to our clients. Part of our core business is to build safe, reliable, and scalable infrastructure that enables our clients to support both traditional and next generation applications, as well as to safely collect, store, and manage large amounts of data. We offer services that cover the entire spectrum of the IT project life cycle, from the solution design, security, system engineering, to project and program management, all the way through to project completion. Senior GCP DevOps for a Lugano bank: For one of our banking clients in Lugano, we are...

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...

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),...

Business Introduction At GSK, we have bold ambitions for patients, aiming to positively impact the health of 2.5 billion people by the end of the decade. Our R&D focuses on discovering and delivering vaccines and medicines, combining our understanding of the immune system with cutting-edge technology to transform people’s lives. GSK fosters a culture ambitious for patients, accountable for impact, and committed to doing the right thing, making sure that we focus our efforts on accelerating significant assets that meet patients’ needs and have the highest probability of success. We’re uniting science, technology, and talent to get ahead of disease together. Find out more: Our approach to R&D Position Summary You will lead a team applying AI to scientific research across discovery and early development. You will partner with scientists, engineers and project leaders to design, deliver and scale AI solutions that answer real scientific questions. We value clear...

Digital Republic is the innovative and flexible provider of mobile subscriptions and mobile internet in Switzerland. As part of the mobilezone group, we work in Zurich (Schlieren) and pursue a clear goal: simple products with a strong price-performance ratio and personal support. With us, you can expect a young and motivated team with short decision-making processes, a high degree of autonomy, and an open, informal work environment. Do you want to contribute your ideas, help shape the future, and truly make a difference? Then you've come to the right place. Business Intelligence Praktikant, 100% (m,w,d) We offer you: A role with real impact, where you quickly dive deep and "get your hands dirty". Ownership from day one in a small, collaborative team A steep and rewarding learning curve – you will learn a lot directly on the job. Hybrid work model with fixed office and home office days...

The Data, Analytics, AI & Platforms (DAP) Manager is the local technical anchor for data, analytics and AI within the Execution Excellence function at Novartis Pharma Switzerland. The role ensures Swiss commercial, Value & Access (V&A) and Medical Affairs teams get full value from the global Novartis analytics and AI ecosystem. At its core, this is a Data & Analytics role with AI/GenAI and agentic AI as a strategic layer on top, supported by platform localization and operational readiness. The role works across the core No-vartis analytics stack; Python, Azure, Snowflake, and PowerBI, to deliver applied analytics, AI use cases and high-quality data products for the Swiss organization. On the Data & Analytics side, the DAP Manager is hands-on and technically deep. Day to day, this means designing and maintaining local data models on Snowflake, building enterprise-grade PowerBI dashboards on top of them, leveraging Azure data and AI services for pipelines,...