Job
- Level
- Junior
- Job Field
- Data, Application
- Employment Type
- Full Time
- Contract Type
- Internship / school internship
- Location
- Sindelfingen
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop data-driven applications for vehicle production by analyzing large datasets, conceptualizing AI use cases, and acting as a liaison between business departments and development partners.
Job Technologies
Your role in the team
- You don't just want to analyze data, but build real applications that are used in vehicle manufacturing?
- Your thesis in the MO360 Product Owner team focuses precisely on this: developing and testing data-driven applications.
- Our MO360 Product Owner (MO/ETS) department is responsible for the central design, implementation, and management of digitalization for Mercedes-Benz Cars Operations' global production network.
- MO360 is our digital backbone for vehicle production.
- In a dedicated team, you will work on the design, development, and continuous improvement of MO360 applications – acting as the interface between the business unit/customer and our development partners.
- Participation in the development and further development of MO360 applications with a focus on Data Analytics.
- Analysis and preparation of large data sets as well as the design of analysis and reporting solutions for data-driven decision-making.
- Identification and conception of new AI-/Data use cases for production.
- Testing and support of the release process for new application versions (including release management).
- Close collaboration between the client/department and development partners: gathering requirements, translating them, and supporting their implementation.
- Utilization of Generative AI to systematically connect technical data points and support development processes.
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Our expectations of you
Education
- Degree in Data Science, (Business) Informatics, Information Management, Digital Transformation/Business or similar.
Qualifications
- Programming skills are a prerequisite (e.g., Python, SQL, or similar).
- Fluent in German and English, both written and spoken.
- Above-average commitment and a high willingness to learn.
- Analytical mindset and structured, reliable work approach.
- Strong communication skills and enjoyment in collaborating across interfaces.
- You can mediate between technical and professional contacts.
- Self-initiative as well as team skills and openness to new topics.
- Willingness to challenge the status quo and proactively drive change.
Experience
- Initial experience or interest in data analysis, application development, and testing.
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What we offer
- The position can start from October 2026.
- The final topic selection is made in consultation with the university, you, and us.
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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
Student writing their thesis in the MO360 Product Owner Team
- Location
- Sindelfingen
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
