Data Scientist AI/GenAI (w/m/d)
Zürcher Kantonalbank und ihre Tochtergesellschaften
Zürich
Key information
- Publication date:01 November 2025
- Workload:100%
- Place of work:Zürich
Job summary
Join Zürich's vibrant IT team at Zürcher Kantonalbank, focusing on AI.
Tasks
- Design and implement GenAI solutions with data experts.
- Define requirements and KPIs in collaboration with stakeholders.
- Prototype and integrate GenAI solutions into existing platforms.
Skills
- Experience in AI, ML, or data-driven products essential.
- Proficiency in Azure Cloud and LLMs required.
- Strong communication skills for diverse stakeholder engagement.
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80% - 100% | IT / Business Engineering | Zurich | Experienced Professionals
In the Strategy, Risk & Analytics division of Zürcher Kantonalbank, we support the IT, Operations & Real Estate business unit in the areas of strategy, finance, IT provider, and IT risk management. As Business Portfolio Managers, we drive the implementation of the strategy in various implementation channels (ART). Additionally, we are responsible for the bank's AI strategy and ensure its effective implementation.
Do you want to contribute your experience and skills in a dynamic team and help shape the use of artificial intelligence at Zürcher Kantonalbank? Then you are exactly right with us.
Your tasks
- Development and design of GenAI solutions: Designing and implementing GenAI solutions (including RAG and AI agents) in close collaboration with data engineers and subject matter experts. The goal is to understand the nuances of the data as well as the business context to ensure that the developed models and solutions are specifically aligned with the relevant business challenges.
- Requirement definition and success measurement: Close collaboration with stakeholders to clearly define requirements and develop measurable key performance indicators (KPIs) for the business case.
- Prototyping and integration: Focus on prototype development. Collaboration with ML and cloud engineers as well as full-stack developers to seamlessly integrate GenAI solutions into the existing GenAI platform. LLMOps tools are configured to evaluate and optimize model performance. At the same time, protective measures for compliance and responsible AI practices are implemented.
- Model training and optimization: Selection, training, and fine-tuning of large language models (LLMs) on banking-specific data to meet the specific requirements of the industry. Use of techniques such as prompt engineering, RAG, and knowledge distillation to continuously improve the performance and accuracy of the models.
Your profile
- Professional experience as a data scientist, GenAI engineer, in AI, ML, or data-driven products, as well as in the design and support of AI application implementation
- Knowledge and experience with Azure Cloud, LLM, OpenAI, and ML-OPS
- An agile mindset and an innovative working style according to SAFe/Scrum are natural for you
- Your strong communication skills enable you to interact appropriately with various stakeholders
- You score with your structured and systematic approach and enjoy trying out new things
Our offer
- A field of activity that gives you the chance to independently advance your topics
- We invest heavily in our employees and offer appropriate training opportunities
- Your colleagues and stakeholders are all located in the same building, at home office, or in the building across the street – without time difference
- Your work-life balance is important to us, and as a parent, we also want to support you in your part-time career
- Attractive overall package with interesting additional benefits and employee discounts (sports, leisure, childcare, health insurance)
Lianna Müller
is happy to help you.
Phone: 044 292 28 89
is happy to help you.
Phone: 044 292 28 89
