Student Assistant (m/w/d) to support us with data science tasks

Student Assistant (m/w/d) to support us with data science tasks

15.07.2026, Studentische Hilfskräfte, Praktikantenstellen, Studienarbeiten

For the TUM School of Management at the Heilbronn Data Science Center, TUM Campus Heilbronn, we are looking for a Student Assistant (m/w/d) to support us with data science tasks for 9–20 hours per week.

Your profile

We are looking for a motivated student with a strong interest in applying data science methods to real-world research questions and practical challenges. You should enjoy working independently, learning new tools and methodologies, and approaching complex problems with curiosity and critical thinking.

Required qualifications:

• Experience in extracting, cleaning, and analyzing data
• Prior experience in computer programming and/or statistical programming; Python skills are particularly desirable
• Ability to conduct research, document your work carefully, justify methodological decisions, and learn from existing literature
• Strong organizational and communication skills
• Very good English communication skills, as the working language of this position is English

Additional qualifications that would be an advantage:

• Experience with web scraping and integrating LLM APIs, such as OpenAI or OpenRouter
• Strong mathematical, statistical, or computer science training
• German language skills
• Experience or interest in one or more of the following areas:
• Manufacturing, marketing analytics, economics, transportation, or smart cities
• Scheduling and optimization, for example production scheduling
• Development of simulation environments
• Digital content analysis
• Large language models and multi-agent systems
• Spatio-temporal deep learning and AI, especially with PyTorch
• Local LLM deployment
• AI-assisted coding tools and agentic coding workflows, such as Claude Code, Cursor, or Codex CLI

We offer

Hands-on experience with real-world data science projects in an academic and interdisciplinary environment.
Flexible working hours that can be aligned with your study schedule.
The opportunity to develop practical skills in data analysis, programming, and research-oriented documentation

Application Process

We look forward to receiving your detailed application (cover letter, CV, academic transcripts, and references, if available) by August 15, 2026, via email to jobs.udsm@tum.de, with the subject line: “Data Science Student Assistant”. Please combine all application documents into one single PDF file. 

TUM is committed to increasing the representation of women in its workforce and strongly encourages applications from qualified female candidates. Candidates with disabilities will be given preference in the case of equivalent qualifications.  

Data Protection

As part of your application, you provide personal data to the Technical University of Munich (TUM). Please view our privacy policy on collecting and processing personal data in the course of the application process pursuant to Art. 13 of the General Data Protection Regulation of the European Union (GDPR) at https://portal.mytum.de/kompass/datenschutz/Bewerbung. By submitting your application, you confirm to have read and understood the data protection information provided by TUM.

Kontakt: Elke Kröber / Mail: jobs.udsm@mgt.tum.de