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2 data analytics intern jobs found in Zürich

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Omnilex
13/03/2026
Full time
AI Engineer - Legal Search
Omnilex 8001 Zürich, Switzerland
About You Do you love making search actually work well for the user? Are you hands-on with ranking algorithms, query understanding, and excited to ship improvements that users feel the same day? Do you enjoy building pragmatic, low-latency, cost-aware solutions for AI-assisted legal research (where citations, precision, and traceability matter)? If so, we’d love to hear from you. About Omnilex Omnilex is a young dynamic AI legal tech startup with its roots at ETH Zurich. Our passionate interdisciplinary team of 14+ people is dedicated to empowering legal professionals in law firms and legal teams by leveraging the power of AI for legal research and answering complex legal questions. We already stand out with handling unique challenges, including our combination of external data, customer-internal data and our own innovative AI-first legal commentaries. Tasks Your Responsibilities As an AI Engineer - Legal Search Optimization, you will focus on building...
Schweizerische Nationalbank
06/03/2026
Full time
Intern in the Economic Data Science team
Schweizerische Nationalbank Börsenstrasse 15/8022, Zürich, ZH, Switzerland
The Swiss National Bank (SNB), as an independent central bank, conducts monetary policy in the overall interest of the country. It ensures   price stability and thus contributes to an environment in which the economy can thrive. Intern in the Economic Data Science team   (   80% - 100%) The Economic Data Science unit produces macroeconomic analyses and forecasts to inform monetary policy decisions. It also contributes to methodological innovations and the further development of data pipelines. We are offering two internships in an interdisciplinary team of economists and data scientists. Both positions are for a duration of 12 months. Start dates are July 1, 2026, and September 1, 2026, or by arrangement. The workplace is centrally located in Zurich. Your contribution: Contributing to the development, provision and maintenance of data pipelines and analysis tools, particularly in the areas of Big Data, Machine Learning and Natural Language...

 

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