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2 data science intern jobs found in Zürich

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Data Governance Zürich data science intern
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Full time  (2)
Pinterest
01/05/2026
Full time
Staff Software Engineer, Cloud Platform
Pinterest Zürich, ZH, Switzerland
About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach,...
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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