SAP iXp Intern - Data Science

We help the world run better

At SAP, we enable you to bring out your best. Our company culture is focused on collaboration and a shared passion to help the world run better. How? We focus every day on building the foundation for tomorrow and creating a workplace that embraces differences, values flexibility, and is aligned to our purpose-driven and future-focused work. We offer a highly collaborative, caring team environment with a strong focus on learning and development, recognition for your individual contributions, and a variety of benefit options for you to choose from. 

 

About the SAP Internship Experience Program

 

The SAP Internship Experience Program is SAP’s global, strategic, paid internship program that provides university students with opportunities to find purpose in their careers.

 

Three reasons to intern at SAP

 

1.     Culture of collaboration: Meet with mentors, make new friends across the globe, and create a thriving personal network.

2.     Project-driven experience: gain cross-functional skills from our virtual and in-person learning sessions, diverse subject matter experts, and project deliverables. 

3.     Gain visibility: with the SAP Internship Experience Program in your title, you’ll have a global network of SAP leaders, entrepreneurs, and career development opportunities at your fingertips.

 

 

 

What you’ll do:

 

Position title: SAP iXp Intern - Data Science 

 

Location: Hybrid -  Hudson Yards

 

Expected start date: May 2025

 

Duration: 4- 6 months

 

Working hours: Full-time (40 hrs./week)

 

 

  As a PhD Intern, you will work with a team of experienced researchers and data scientists, taking on challenges posed by the SAP customers and product units and providing smart services across and beyond the SAP portfolio. You will have the chance to work with large amounts of real-world data, containing the full codebase of SAP systems

 

• Collaborate with the ABAP foundation model team to work and improve upon code assistance models targeting use-cases like code completion, code explanation, unit test generation, code migration, and several others
• Perform state-of-the-art research to advance Machine Learning and Artificial Intelligence
• Choose from different focus topics: Utilizing external feedback signals (such as unit tests, static code checks) both at training and inference time; agentic workflows to handle complex user scenarios such as unit test generation; exploit structural information from the codebase, such as ASTs or data flow analysis, to utilize either directly in the model architecture or in other parts of the workflow (e.g. context injection)
• Publish research results and contribute to research that can be applied to SAP product development. Support in a hands-on fashion the integration of your results into our product
• Collaborate with academic researchers and cross-functional partners, including communicating research plans, progress, and results

 

 

 

 

 

 

What you bring:

 

 

We’re looking for someone who takes initiative, perseveres, and stays curious. You like to work on meaningful innovative projects and are energized by lifelong learning.

 

• Education: You are a PhD student (f/m/d) at least in your second year or PostDoc, specializing in a related research area
• Eligibility: Must be currently enrolled, or recently graduated (start date must be within 6 months of graduation date) from a coding academy/bootcamp, apprenticeship, associate, bachelor’s, master’s or JD/PhD program
• Experience with a strong foundation in machine learning, including building systems utilizing deep learning, natural language processing, LLMs, Foundation Models, or Knowledge Graphs
• A strong publication record in recognized ML/NLP conferences or journals such as ACL, EMNLP, ICLR, ICML, NeurIPS
• Proficient in PyTorch, Python, and HuggingFace Transformers, with a good under