Data Scientist 100% (f/m/d)
Core
Define and drive the technical vision, roadmap, and operational excellence of the data science workbench offering for the Global Data Platform to enable data-driven decision-making across the bank.
Role type
Principal Data Scientist / Platform Architect (Data Science Infrastructure)
Builds
Scalable, governed data science workbench capabilities, MLOps pipelines, and AI/ML platforms for enterprise use.
Domain
Financial Services / Enterprise Data Science & AI Infrastructure
Deliverable
production ML models | infrastructure
Required skills
MLOps pipeline design, Large Language Model (LLM) integration, statistical modelling, predictive analytics, NLP, responsible AI practices, feature stores, vector databases, AI orchestration, Apache Spark, Kubernetes, Snowflake/Databricks, Agile/DevOps leadership, technical roadmap definition, community of practice management.
Preferred skills
German language skills, experience in Swiss financial institutions, exposure to Hadoop ecosystems, Trino, Kafka, Iceberg.
Technologies
Python, R, SQL, TensorFlow, PyTorch, Scikit-learn, Apache Spark, Iceberg, Trino, Kafka, Kubernetes, Snowflake, Databricks, Hadoop
Responsibilities
Define end-to-end technical vision and lifecycle strategy for the data science workbench; gather requirements and manage relationships with the consumer base; ensure platform scalability, reliability, performance, and security; lead prioritization and delivery of features across Agile teams; drive standardization and simplification across the ecosystem; serve as primary technical escalation point for incidents and audits; establish and monitor SLAs, SLOs, and KPIs.
Seniority
Senior, hands-on IC with strategic leadership
