Internship: Data Science

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 build

• Data Preparation: Support the training and adaptation of Foundation Models by preparing and engineering high-quality enterprise datasets.
• Evaluation & Analysis: Benchmark model performance and conduct detailed error analysis to drive iterative technical improvements.
• Model Architecture: Assist in adapting state-of-the-art architectures to solve complex, structured data challenges.
• Result presentation: Synthesize experimental results into clear reports and presentations for our global team in English.

What you bring

• Enrolled in a Master's course in Computer Science, AI or similiar
• Proficiency in Python and experience with frameworks such as Pytorch
• First experience in developing deep learning model backed up the good theoretical knowledge about common concepts in deep learning and foundation models
• Diligent and thorough working style. Strong communication and collaboration skills.
• Fluency in English (written and verbal)

Where you belong

Join the team defining the next frontier of Business AI. Different to the efforts in AI along language, vision, and multimodal domains, we are pioneering specialized Foundation Models designed to master the complex, structured data powering global industries. You will play a supporting role in bridging the gap between general-purpose AI and enterprise reality, architecting the intelligent backbone that enables the world's leading businesses to run more efficiently at scale.

Duration: 6 months

Start date: March 2026

In accordance with the French legislation, for any duration over 2 months, this internship is paid in line with the SAP gratification grid.

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:

For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.

Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.

Successful candidates might be required to undergo a background verification with an external vendor.

AI Usage in the Recruitment Process

For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.

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

Requisition ID: | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Student | Employment Type: Limited Full Time | Additional Locations: #LI-Hybrid