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4 data scientist jobs found in Zürich

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Full time  (4)
Zurich Gruppe Deutschland
23/04/2026
Full time
Pricing Actuary/Data Scientist P&C (m/w/d) 70 - 100%
Zurich Gruppe Deutschland Zürich, ZH, Switzerland
Are you an actuary or data scientist with a passion for insurance? Would you like to use your creative ideas to make a difference for our corporate clients as part of a team? In your role as Pricing Actuary/Data Scientist P&C, you will strategically apply your technical expertise and business acumen. You will work on developing innovative tariffing, price optimization, and portfolio management solutions and support the corporate client business of our Swiss business unit. For this position, we are looking for a motivated individual with a high degree of initiative and technical know-how, who seeks and implements the best solutions in a dynamic and market-oriented environment. Are you ready to contribute your aptitude for numbers and your business acumen to work with us to develop the best solutions for our customers? Find out here why Zurich Switzerland is among the "Top 3" employers in Switzerland. Become a part of it and apply as a Pricing Actuary/Data Scientist...
Julius Bär
23/04/2026
Full time
Student Data Scientist 40% (f/m/d)
Julius Bär Hohlstrasse 604, 8048 Zürich, ZH, Switzerland
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. This part-time role offers an excellent opportunity for a motivated student to develop hands-on experience in Tableau dashboard design and gain exposure to Bank Julius Baer and the fundamentals of wealth management. You will support our team in turning data into insights while strengthening your analytical abilities and growing your technical skills in a learning-oriented environment. YOUR CHALLENGE Design, update, and refine Tableau dashboards to support reporting and analysis needs Prepare and structure datasets for visualization Assist with exploratory data analysis to identify trends and insights Collaborate with team members to understand business questions and translate them into effective visuals Document...
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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