Working Student (f/m/d) Data Scientist for Building GNNs on a Corporate Knowledge Graph

Job description

We help the world run better
At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you.

We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next.

The work is challenging – but it matters.

You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong.

What's in it for you?

Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.

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.

Meet your team

The SAP Global Content Group provides insights into SAP content and best practices, e.g., for business processes.

The GCG Knowledge Graph is the core element to harmonize and integrate content from heterogeneous sources and make it accessible for various use cases.

One important goal is to provide access to all the process and business data content that SAP provides, leveraging semantic technologies such as knowledge graphs and related machine learning capabilities to integrate data and to provide meaningful responses to business process-related questions.
You will be part of an international team of software, data management, AI, and business experts.

Your 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.

This is a SAP global, strategic, paid working student position that provides students with opportunities to find purpose in their careers.
#Workingstudent #Werkstudent #Germany #Deutschland #Student #LIHybrid #SAPGermanStudentsCareers

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Bring out your best
SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively.

Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management.

As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development.

Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves.

At SAP, you can bring out your best.

 

We win with inclusion
SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best.

At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential.

We ultimately believe in unleashing all talent and creating a better world.

SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities.

If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com.

For SAP employees: Only permanent roles are eligible for the , according to the eligibility rules set in the SAP Referral Policy.

Specific conditions may apply for roles in Vocational Training.

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.

Requisition ID: 433937  | Work Area: Administration  | Expected Travel: 0 - 10%  | Career Status: Student  | Employment Type: Limited Part Time   | Additional Locations:  #LI-Hybrid

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Required Skill Profession

Mathematical Science Occupations