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2 data scientist jobs found in Zürich

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Data Governance Zürich data scientist
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Full time  (2)
UBS
23/04/2026
Full time
2026 Off-cycle Internship - Software Developer UBS RiskLab AI - Zurich
UBS Zürich, ZH, Switzerland
Switzerland - Zürich Information Technology (IT) Group Functions Job Reference # 330709BR City Zurich Your role Interested in working in finance, specifically in contributing to the AI journey at UBS, but not sure where to start? Do you want to work for a firm with a truly global footprint? We're looking for ambitious students to join our 2026 Off-cycle Internship Program within our Group Technology. You’ll get to: work as a full stack developer for the core Model / AI Development Platform RiskLab AICE for various UBS business divisions contribute to DevOps processes and setup the optimal data science, ML and GenAI, code release CICD pipeline. work on industry leading Machine Learning and GenAI frameworks and in-house developed AI Model / AI development environment be a product champion on Microsoft Azure products such as Azure Databricks, Azure Kubernetes Services and Machine Learning and GenAI products have good...
Zürcher Kantonalbank
23/04/2026
Full time
Enterprise Application Architect Data/Analytics (m/f/d)
Zürcher Kantonalbank Zürich, ZH, Switzerland
Our central IT architecture team, consisting of around 15 employees, works closely with our stakeholders to shape the evolution of our IT landscape. The focus is particularly on the application portfolio used within Zürcher Kantonalbank. This lays the foundation for the bank's technical innovation and resilience. You will play a crucial role in our central enterprise IT architecture. As an advisor and strategist, you will actively shape the further development and strategic direction of our IT landscape. Your tasks Developing the strategic data and analytics architecture in line with the IT and business strategy. Defining and establishing guidelines and guardrails (e.g., patterns with specifications, standards, etc.) for data management, data quality, metadata management, (Gen) AI, and data governance. Reviewing solution designs (domain blueprints, target architectures, etc.) for compliance with the requirements of the enterprise IT architecture. Close...

 

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