SAP Working Student f/m/d - Data Scientist Building 

India, Karnataka, Bengaluru 

753009433

What you'll do

You will work with a passionate team on building state of the art AI applications. Specifically, you will work with experts to train Graph Neural Networks (GNNs) on our knowledge graph (KG) to improve embedding quality. Your work requires you to independently research into state-of-the-art methods in embedding construction, graph embeddings and GNNs and apply your gained experience on subsets of our graph. This requires you to read research papers and implement small proofs of concepts. Upon successfully training a model, you will help integrate your results into an LLM-based chat application to improve its answering quality.
After completing your work with embeddings and GNNs, you will help shape the next generation of knowledge exploration within and outside of SAP by supporting the development of a multi-agent LLM system.

What you bring

• Master Student (f/m/d) at a research university (ideally early-stage student)
• Preferred fields of study: Data Science, Computer Science, Business Informatics, or similar
• Strong experience in Python, NumPy, Pandas
• Experience with ML training libraries like PyTorch, PyTorch Geometric, Hyperparameter Tuning, and one database Query Language e.g. SQL
• First Experience with Graph Neural Networks (GNNs) is desired
• Optional: First experience in Semantic Web technologies, e.g. RDF, SPARQL, or Knowledge Graphs and AI technologies like LangChain, Langgraph or Langfuse
• Language skills: fluent in English, German is a plus
• We expect you to be able to work self-enabled on a topic, adapt quickly to changing situations, think out of the box to create new solutions and be willing to learn something new regularly.
• Although previous work experience is advantageous, we don’t require it. You should, however, have worked on praxis-oriented projects in the past be it in or outside of university.

You will be part of an international team of software, data management, AI, and business experts.

our set of application documents should contain a cover letter, a resume in table form, school leaving certificates, certificate of enrollment, current university transcript of records, copies of any academic degrees already earned, and if available, references from former employers (including internships). Please also describe your experience and skills in foreign languages and computer programs / programming languages.

AI Usage in the Recruitment Process

For information on the responsible use of AI in our recruitment process, please refer to our

Please note that any violation of these guidelines may result in disqualification from the hiring process.