Job
- Level
- Junior
- Job Field
- Data
- Employment Type
- Part Time
- Contract Type
- Internship / school internship
- Location
- Sindelfingen
- Working Model
- Onsite
Job Summary
In this role, you will develop prototypes for the intelligent automation of data documentation and work on AI-driven solutions to make vehicle data reliably accessible and usable.
Job Technologies
Your role in the team
- In Mercedes-Benz Development, we make vehicle data reliably accessible: Our team "Vehicle Data Access & Transparency" manages the central documentation system for vehicle data and is responsible for ensuring that this data can be found, quality-checked, and used in a verifiable and compliant manner.
- We are looking for working students to collaborate with us on the intelligent automation of our data documentation.
- You develop prototype solutions at the interface between data analysis and our documentation system using AI, with the goal of not only describing data better but also making it discoverable and directly usable.
- Independent work on concrete prototypes directly related to our production system.
- A small, highly connected team that is open to new ideas and technologies.
- Freedom of design: You choose a focus together with us and drive it forward independently.
- Possible areas of focus (to be agreed upon): AI-supported validation/improvement of data documentation, personalized search and recommendations for relevant data, prototypes for interaction with vehicle data via modern AI interfaces, quality assurance and validation of anonymization procedures in test environments, automated analysis of software for data-related processes.
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Our expectations of you
Education
- Ongoing studies in Computer Science, Data Science, Business Informatics, or a related field.
Qualifications
- Basic understanding of data models, APIs, and cloud architectures.
- Independent, experimental working style - You contribute ideas and try them out.
- Good knowledge of German and English.
- Curiosity and willingness to learn - You quickly familiarize yourself with new technologies and domains.
- Ability to communicate technical results clearly.
- Structured approach, even if the goal is still exploratory.
Experience
- Programming experience, preferably in Python.
- Interest in or initial experience with GenAI/LLMs (Prompt Engineering, RAG, Agent Frameworks), Knowledge Graphs, and data-driven automation.
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What we offer
- The position can start from October 2026.
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Benefits
Higher Take-Home Pay
- 🏝️Summer and Christmas Bonus
- 🍰Employee Stock Option
- 💻Company Notebook for Private Use
- 🚙Company Car
- 📱Company Phone for Private Use
- 🛍Employee Discount
- 👴🏻Company Retirement Provision
- 👷♂️Additional Insurance
Health, Fitness & Fun
Work-Life-Integration
- 🐕Animals Welcome
- 🏠Home Office
- 🍼Day Care for Kids
- 🅿️Employee Parking Space
- 🚌Excellent Traffic Connections
- ⏰Flexible Working Hours
Food & Drink
Topics You Will Work On
Job Locations
About Your Employer
Mercedes - Benz AG
The Mercedes-Benz brand of automobiles is a registered trademark of Daimler AG. In 2016, sales of new vehicles reached 2.08 million. With business units including Mercedes-Benz Cars, Daimler Trucks, Mercedes-Benz Vans, Daimler Buses and Daimler Mobility, the company ranks among the leading providers of premium cars and is the world's largest commercial vehicle manufacturer.
Description
- Founding Year
- 1926
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Vehicle Manufacturing, Supplier, Industry, Production
Employer reviews
by devworkplaces.com
Total
(1 Review)Workingconditions
4.8Engineering
4.0Career Growth
4.8Culture
4.2
Werkstudent Data Management
- Location
- Sindelfingen
- Working Model
- Onsite
- Diversity
- Open for all genders
