Data Science Chief Expert - Finance

About the role

As part of our Data and Applied Science team, you'll build the context engine grounded in SAP’s Business ontology: the semantic infrastructure that transforms raw business data into the knowledge layer powering SAP's AI agents and assistants. The Data and Applied Science team will build the semantic and contextual foundation of SAP's AI.

What you'll do

• Find a place where you can be yourself, prioritize your wellbeing, and truly belong
• Help build and scale the layer that makes that possible
• Translate ambiguous business challenges into concrete AI use cases, technical designs, and measurable business outcomes
• Design, develop, evaluate, and operationalize end-to-end machine learning and AI solutions — from data preprocessing, feature engineering, experimentation
• Develop AI capabilities — including generative AI and LLM-based solutions — using enterprise business data, knowledge graphs, business process intelligence

What you need

• 15–27 yrs of experience
• Machine learning
• Python
• SQL
• LLMs
• Scikit-learn
• Statistics
• PhD or B.Tech or B.E. or B.Sc or BCA or M.Tech or MCA

Good to have

• AWS
• Deep learning
• Databricks
• PyTorch
• TensorFlow
• SAP