Job Description

What you'll bring

You have hands-on experience in data science, machine learning, and applied AI in enterprise environments.

- Solid proficiency in Python and SQL, with hands-on data science, machine learning, or applied AI experience.

- Functional experience with ML frameworks such as Scikit-learn, TensorFlow, PyTorch, or XGBoost, with a working knowledge of statistics, feature engineering, and model evaluation.

- Practical exposure to large language models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG) pipelines, embeddings, vector databases, or AI orchestration frameworks such as LangChain or LangGraph.

- Experience deploying ML or AI solutions on cloud platforms using machine learning operations (MLOps) practices.

- Knowledge with SAP data landscapes — such as SAP S/4HANA, SAP Business Technology Platform (BTP), or SAP AI Core — is an advantage.

We also look for people who build trust naturally, communicate with clarity, keep the customer at the centre of what they do, and bring emotional intelligence and genuine problem-solving ability to the challenges they face.

In addition to the skills and experience specific to this role, all positions at SAP require candidates who are comfortable using AI tools — including agentic AI — in their day-to-day work, from crafting effective inputs and automating routine tasks,



to evaluating AI-generated outputs for quality and facilitating adoption of AI practices within their teams.

What you'll build

You'll develop and deploy data science and AI solutions within customer-embedded delivery teams.

- Translate business challenges into data-driven solutions — exploring data, engineering features, and developing models for classification, forecasting, anomaly detection, and recommendation scenarios.

- Design, train, evaluate, and optimize ML models and statistical solutions for enterprise use cases of moderate complexity.

- Develop generative AI components using LLMs, RAG pipelines, embeddings, vector databases, and agentic AI frameworks.

- Define evaluation metrics, validate model performance, monitor deployed solutions, and implement improvements to accuracy and reliability.

- Collaborate with AI Engineers, Data Engineers, Product Managers, and UX teams to deliver components and communicate technical findings to customer stakeholders.

Where you belong

You will be part of a growing AI and industry expert team serving customers across the Americas, Europe, and Asia. We bring collectively deep AI expertise, industry knowledge, and regional awareness to help customers innovate. You'll collaborate with cross-functional teams to solve business problems and deliver enterprise-grade AI solutions. This is a place for curious builders who enjoy learning and applying AI to real business challenges.

#SAPAICareers

📌 Forward Deployed Data Scientist (Bengaluru)
🏢 SAP IT Business Systeme
📍 Bengaluru