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2 artificial intelligence jobs found in Zürich

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DeepMind
03/06/2026
Full time
Senior Data Scientist, GeminiApp, DeepMind
DeepMind Zürich, ZH, Switzerland
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...
Novartis
01/06/2026
Full time
Data, Analytics, AI & Platforms (DAP) Manager
Novartis Suurstoffi 14, 6343 Risch-Rotkreuz, ZG, Switzerland
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,...

 

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