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SAP • Walldorf, DE

Working Student (f/m/d) AI and Data Scientist in PhD Programs and Embedded Research

Employment type:  Part time
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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.

The Academic Partnerships organization at SAP partners with other SAP teams to provide the best services to foster strategic research collaborations between SAP and academia. The PhD Graduate Team is responsible for building the bridge between cutting-edge research and SAP functional teams. Our mission is to facilitate the application of research across SAP and contribute to SAP research strategy with interdisciplinary research activities.

What you´ll build

In your daily work you will be supporting the Head of PhD Programs with day-to-day program management tasks, contributing to reporting optimization and data-driven insights on PhD pipeline, and assisting with interdisciplinary research projects. As a working student (f/m/d), you’ll help bring academic innovation to life at SAP—at the intersection of AI, data science, and PhD talent development. Your tasks will include:

  • Optimize reporting workflows and our PhD pipeline analytics using data science methods—so leaders can make decisions faster and with better insight.

  • Contribute to AI and data science use cases within the team and unit, including agentic solutions and research‑to‑industry knowledge transfer.

  • Explore high‑potential research topics and support the development of our embedded research strategy.

  • Apply AI technologies—from classic machine learning to large language models (LLMs)—to automate and enhance program management tasks.

  • Assist in organizing and coordinating interdisciplinary research activities, leadership development programs, and mentoring offerings.

  • Collaborate with internal stakeholders (PhD graduates, functional teams, SAP research units) and external academic partners.

  • Support AI adoption in the team through knowledge sharing and practical tooling improvements.

You’ll see how research scales in a global tech company—and you’ll help shape how SAP engages PhD talent and research outcomes.


What you bring

We’re looking for someone who is curious, hands‑on, and excited to translate research into real‑world impact.

  • You are currently enrolled in a Master’s program in computer science, mathematics, information technology, information systems, computational social science, economics, or a related field.

  • First practical experience in data science projects and a good understanding of the AI use‑case development lifecycle.

  • AI development skills across classic machine learning, statistical modeling, and LLM‑based systems.

  • Solid Python programming skills (e.g., pandas, scikit‑learn, PyTorch, TensorFlow, seaborn, statsmodels).

  • A passion for translating research into industry applications and measurable outcomes.

  • A self‑starter mindset with the ability to work independently and in cross‑functional teams.

  • Strong communication and presentation skills, especially in international settings.

  • Fluency in English (written and spoken).

Nice to have (a plus, not a must):

  • Prior experience at the interface of academia and industry.

  • Experience with agentic AI frameworks (e.g., LangGraph, LangChain) or reinforcement learning.

  • Familiarity with the data science stack (e.g., Databricks or similar), hyperscalers (Azure, GCP, AWS), data lakes, Docker, GitHub.

  • Interest in explainable AI, interpretability, or other cutting‑edge AI topics.

  • German language skills.


If you’re excited about this role but don’t meet every single requirement, we still encourage you to apply!

Where you belong

You’ll join SAP’s Academic Partnerships organization—the bridge between SAP and academia—where we build structured, long‑term collaborations with universities and research groups. Within this organization, the PhD Graduate Team embeds cutting‑edge research into SAP’s functional teams and brings together interdisciplinary PhD talent in a research‑like environment.

  • Learn from experts across SAP Research and product organizations while building a portfolio of impactful AI and data projects.

  • Be part of a collaborative, international community that values curiosity, learning, and knowledge sharing.

  • Grow your skills in a real‑world setting and help shape SAP’s research strategy and talent development.

​

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 SAP Employee Referral Program, 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 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: 454731 | Work Area: Software-Research | Expected Travel: 0 - 10% | Career Status: Student | Employment Type: Limited Part Time | Additional Locations: #LI-Hybrid

​

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Working at SAP

3 office days / week

Fully flexible hours

Company benefits

25 (UK) 30 (Germany) 21 (India) days annual leave + bank holidays
Accrued annual leave – 1 day/year up to 30 days (UK)
Open to job sharing
Sabbaticals
Adoption leave – Up to 52 weeks (UK)
Open to part time work for some roles
Returnship
Equity packages
Shared parental leave
Enhanced maternity leave
Fertility benefits
Pregnancy support
On-site childcare
Share options
Electric Car Salary Sacrifice
Gym membership
Dental coverage
Health insurance
Private GP service
Mental health platform access
Life assurance
Life insurance
Enhanced pension match/contribution
Enhanced paternity leave
Travel insurance
Cycle to work scheme
On-site gym
Bike parking
Enhanced sick pay
Emergency leave
Enhanced sick days
Company car
Open to part-time employees
Work from anywhere scheme
Childcare credits
Fertility treatment leave
Pregnancy loss leave
Carer’s leave
Nursery salary sacrifice scheme
Family health insurance
Women’s health leave
Annual bonus
401K
Referral bonus
Joining bonus
Employee discounts
Loyalty programme
Non-contributory pension
Personal development days
Personal development budgets
L&D budget
Language lessons
Learning license
Study support
Studying sabbaticals
Lunch and learns
In house training
Hackathons
Professional subscriptions
Further education support

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