Intern Data Science in the field of BigData Drives (compulsory internship)

Life is always about becoming... In life it is about going on a journey to become the best version of our future self. As we discover new things, we face challenges, master them and grow beyond us.

Apply to Mercedes-Benz and find the area where you can develop your talents individually. You will be supported by visionary colleagues who share your pioneering spirit. Joining us means becoming part of a global team whose goal is to build the most desirable cars in the world. Together for excellence.

Number: MER0004535 In the Mercedes-Benz Cars development we design the cars of the future. We create innovative products with the highest quality and with the most efficient development processes. We are already working on the vehicles that will secure the technology leadership of Mercedes-Benz in the future. The Center ''RD/EP - Digital Powertrain, Prototyping & Testing' is responsible for the drive development and the powertrain test range. This includes the entire product range of our drive systems, conventional and electrical drive technologies. The RD/EPDT (Digitalization, Data & Tools) department is responsible for digitization projects, especially in the field of testing and system optimization. The ''Data Ops & Cloud Enablement Drive Systems' team supports all data-driven use cases for drive system development at Mercedes-Benz. This includes all steps from idea finding to professional implementation, from data sources to cloud processes to data analytics and artificial intelligence. If you are motivated to participate in the exciting and diverse topics of the data world, if you value teamwork and have fun to actively solve challenges – we look forward to your application! These challenges include: Construction and maintenance of modular ETL pipelines (Python/PySpark, Databricks) incl. Onboarding new data sources and data diversity checks

Conception and implementation of MCP servers as interfaces to tools/data sources

Structure of agents with LangChain/LlamaIndex incl. Tool integration

Implementation of RAG pipelines for domain knowledge (indexing, retrieval, ranking)

CI/CD for ETL and Agents (GitHub Actions/Azure DevOps, Packaging/Docker) with automated tests and deployments

Technical documentation and knowledge transfer

Data evaluation and visualization (Dashboards, KPIs)

Tech-Scouting to AI/ML (Literaturrecherche, Summaries, Prototyping/Benchmarks)

The activity can begin from September 2026.

Course in Computer Science, Media Informatics, Machine Learning, Data Science or a comparable course

Python identifiers (pandas, typing, clean code structure) and possibly first experiences with PySpark/DataFrames

ETL principles

Git-Workflow (Branching, PRs, Code Reviews) and CI/CD-Basics with GitHub Actions or Azure DevOps

LLM/Agenten-Grundlagen: Prompting, RAG concepts, Memory; first practice with LangChain or LlamaIndex

ML/AI Basics

First experiences with API/Server development in Python (FastAPI/Flask), JSON-Schemas, robust error handling

Data analysis and visualization: SQL, pandas, Plotly/Seaborn; optional Power BI or Databricks dashboards

Secure knowledge of German and English in word and writing

Safe handling of MS Office

Commitment and team skills

Analytical thinking and strategic working

Please note that your internship at this site must have a prescribed mandatory share. Additional information: We are looking forward to your online application with CV, lettering, certificates, current enrollment certificate with a specification of the semester, if necessary. Compulsory internship certificate and proof of the regular study period. Please do not forget to mark your documents as ''relevant for this application' in the online form and note the maximum file size of 5 MB. Further information on the setting criteria can be found here. Disabled and equalized applicants are welcome! The severely disabled representative (sbv-untertuerkheim@mercedes-benz.com) is happy to support you in the application process. HR Services will be happy to help you with questions about the application process. You can reach us by email via myhrservice@mercedes-benz.com or by phone at 0711/17-99000 (Mo-Fr 10-12am & 13-15am).

Food supplements Employee handy possible Employee discounts possible Employee participation possible Staff Events Coaching Flexible working time possible Hybrid work possible Health measures Employment Mobility offers Child care Parking space Kantine, Café Business doctor Good connection Accessibility