Data Scientist

About the CompanyThe team is responsible for exploring, validating and developing how GraphRAG can enhance GenAI by grounding Large Language Models (LLMs) with structured knowledge.About the RoleYou will accelerate innovation by experimenting with graph-based retrieval strategies and integrating them within the Data & Analytics landscape. In this role, you help create and transform innovative ideas and experiments into high-quality, production-ready solutions. By bringing strong software engineering and coding expertise, you play a key role in scaling prototypes into robust, reliable products that create real business value.ResponsibilitiesCreate re-usable building blocks, which can be used all over the bank;You bring experience on solving complex technical challenges and elevating the skills of those around you;You take the lead in sharing best practices, mentoring teammates and fostering a culture of engineering excellence.QualificationsYou have a Bachelor or Master degree in Data Science, Applied Mathematics, IT or a related field;Required SkillsAt least 5 or more years of experience working as a Data Scientist with a strong focus on software engineering;Strong object-oriented programming, data analysis and software engineering skills, and Python expertise is a must;Skilled in Git, Databricks, PySpark and experience with cloud platforms (Azure);You have a passion for exploring, building and bringing to production clean, well-structured, maintainable and testable solutions. You have experience in making components that can be re-used and standardized to support scale;You are curious by heart, open to learn, proactive and experienced in collaboration with colleagues;You communicate well in the English language (both spoken and written);Solid understanding of statistical modelling and machine learning;Experience in model deployment, performance tuning, and monitoring leveraging MLOps/DevOps is a plus;Experience in Knowledge Graphs (GraphRAG), Semantics and Ontologies is a big plus;