Data Scientist- Data Labs, Finance & Spend

About the role

As a Data and Applied Scientist at SAP, you'll help 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. This is an early-career role for engineers and scientists who are sharp, curious, and ready to do real work on hard problems from day one.

What you'll do

• Find a place where you can be yourself, prioritize your wellbeing, and truly belong
• Work alongside senior scientists and engineers to build and scale the layer that makes that possible
• Develop and iterate on AI solutions — including generative AI and LLM-based approaches — using enterprise business data, knowledge graphs, business process intelligence
• Collaborate across product, engineering, and business teams to understand how ambiguous business challenges get translated into concrete AI solutions

What you need

• 5–9 yrs of experience
• Machine learning
• SQL
• Python
• Scikit-learn
• LLMs
• Statistics
• M.Sc or B.Tech or B.E. or B.Sc or BCA or M.Tech or MCA

Good to have

• PyTorch
• TensorFlow
• Deep learning
• SAP
• Salesforce
• Workday