SAP iXp Intern (f/m/d) - Data Analytics & AI Data Preparation

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 build

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. This is more than an internship; it’s the foundation for a career built on connection, creativity, and impact.

Position title: SAP iXp Intern (f/m/d) - Data Analytics & AI Data Preparation
Location: Walldorf
Internship duration: 6 weeks (with option to extend into working student role or thesis collaboration)

As a Data Analytics & AI Data Preparation Intern (f/m/d), you will support the enablement of an internal LLM-based chatbot to answers questions about a new data channel. Your primary responsibility will be to prepare, structure, and document data so the LLM can reliably produce accurate answers. You will work at the intersection of data engineering, analytics, and applied AI, guided by strong analytical and mathematical reasoning.

• Analyse existing JSON-based datasets in BigQuery and design relational or semi-structured tables and views optimized for LLM consumption.
• Create annotated schemas, including clear column names, descriptions, units, constraints, and example values.
• Establish naming conventions and documentation standards that reduce ambiguity for natural language queries.
• Test the LLM’s ability to answer questions against known ground truth.
• Identify failure modes (e.g., hallucinations, misinterpretation of columns, incorrect joins) and address them through data modeling or prompt improvements.
• Collaborate with stakeholders to define acceptance criteria for answer quality

What You’ll Bring

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

You are a student in mathematics or a closely related quantitative field. Your strong background in statistics, probability, logic, and analytical reasoning forms the foundation for understanding data structures, modeling decisions, and evaluating the quality of LLM outputs. You enjoy solving abstract and data-driven problems and want hands-on experience at the intersection of mathematics, data engineering, and applied AI.

You bring (core requirements):

• Strong foundation in mathematics and statistics.
• Ability to analyze complex data structures and design clear data models.
• Interest in understanding how LLMs reason over structured data.
• Basic programming experience (Python or SQL) or willingness to learn.
• Curiosity, initiative, and a structured, analytical way of thinking.

Nice to have:

• SQL experience (especially BigQuery).
• Experience with prompt engineering or LLM reasoning improvement techniques.
• Familiarity with JSON-based datasets, data modeling, or schema design.
• Experience with GitHub or Linux command line.
• Exposure to cloud environments.

What you get from us

• A learning-focused environment where your work has direct impact on analytics and AI capabilities.
• Real-world tasks blending analytics, data modeling, and applied AI.
• Close collaboration with experienced developers, data engineers, and architects.
• Fast feedback cycles — your work immediately affects LLM answer quality.
• Flexible working hours and hybrid work options.
• Opportunity to extend the internship into a working-student role or thesis collaboration.

Application documents

• Cover letter
• CV
• Transcript of records
• Certificate of enrollment
• Relevant certificates (if available)
• Short description of programming and analytical experience

Where You Belong

Be part of SAP Next Gen, a global community for students, universities, schools and educational partners, who are passionate about innovation and technology.

1. Culture of Collaboration: Partner with experienced SAP colleagues and expert mentors who will support your growth. Grow professionally through personalized mentoring, coaching, and career development support.
2. Project-driven Experience: Kickstart your career with hands-on learning experience, making an impact from day one by contributing to meaningful projects that help the world run better. You’ll have endless learning resources at your fingertips and gain future-ready skills from a variety of virtual, in-person, and hybrid learning sessions, cultivated just for you, and aligned with our learning approach.
3. Gain Visibility: Build relationships with leaders and peers across teams and functions. Showcase your ideas, skills, and creativity in a global, fast-paced environment. Open doors for future career opportunities within SAP and beyond.

You will join a cross-topic analytics team that processes and analyzes runtime and maintenance data from various SAP tools (such as SUM). We create analytical reports, tables, views, data pipelines, and AI-supported tools that help internal stakeholders understand system behavior and optimize customer upgrade processes. The team is young, empathetic, and supportive — you will be a full team member from day one.

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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 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: 444907 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Student | Employment Type: Limited Full Time | Additional Locations: #LI-Hybrid

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