Job Description

Area of ​​activity: Research & Development incl. Design
Department: Infotainment Product Management
Company: Mercedes-Benz AG
Location: Mercedes-Benz plant Sindelfingen, Sindelfingen
Start date: September 1, 2026
Publication date: May 19, 2026
Job ID: MER000427W
Working hours: Full-time
Tasks

Are you brimming with analytical thinking skills?

Do you want to contribute to the development of the most modern in-car infotainment system?

Do you have a passion for data and enjoy communication?

Then you've come to the right place!

Join us in expanding data-driven product development for the next generation of the Mercedes-Benz User Experience MBUX.

Electromobility, autonomous driving, and artificial intelligence are ubiquitous and offer you, as a Data Analyst/Data Scientist intern, entirely new opportunities to apply your analytical skills and creativity. You will focus on customer interaction with the vehicle, examining a wide range of modalities. This involves working with global data from real customers and tackling the challenge of handling large datasets.

You'll work in an international network with data specialists from Sindelfingen, Berlin, Beijing, Shanghai, and San Jose. Close collaboration with designers, engineers, and software developers will give you insights into many exciting fields.

These are some of the challenges you will face:

  • Processing and coordination of data analytics questions regarding customer interactions with the vehicle

  • You are responsible for all data analytics issues from the initial inquiry to the presentation of your results.

  • Creation of data models, analyses and dashboards

  • Testing and analyzing internal vehicle communication

  • Training in a data-centric mindset within the department and beyond

  • Design and preparation of decision-making documents

If we have sparked your interest, we look forward to receiving a compelling application.

Shape the future of the automobile with us!

The internship can begin from September 2026.

Qualifications
  • Degree in Computer Science, Data Science, Mathematics, Statistics, Business Informatics, Psychology or a comparable degree program with a focus on Data Analytics, Data Science or Machine Learning

  • Knowledge of the human-centered design process and common data analytics/data science methods

  • Fluent German and English skills, both spoken and written.

  • Proficient skills in the use of common programming languages ​​such as Python, R, or SQL

  • Experience with platforms and tools such as Databricks, Jupyter Notebooks or Azure is advantageous, but not a requirement.

  • Basic familiarity with data visualization tools such as Tableau and Power BI

  • Commitment and teamwork

  • Analytical thinking and strategic, structured working methods

  • High level of self-motivation and willingness to learn about complex tasks and subject areas.

Additional Information:

We look forward to receiving your online application, including your CV, cover letter, certificates, current enrollment certificate stating your semester, proof of mandatory internship (if applicable), and proof of standard period of study. Please remember to mark your documents as "relevant to this application" in the online form and note the maximum file size of 5 MB.

Further information on the hiring criteria can be found here.

Severely disabled applicants and those with equivalent status are very welcome! The representative for severely disabled employees (sbv-sindelfingen@mercedes-benz.com) will be happy to support you in the application process.

HR Services will gladly assist you with any questions regarding the application process. You can reach us by email at myhrservice@mercedes-benz.com or by phone at +49 711 17-99000 (Mon-Fri 10am-12pm & 1pm-3pm).

Benefits
meal allowances
Employee mobile phone possible
Employee discounts possible
Employee participation possible
Employee Events
Coaching
Flexible working hours possible
Hybrid working is possible
Health measures
Occupational pension scheme
Mobility services
parking
company doctor
Good connections
Accessibility
childcare
Canteen, Café
Contact Mercedes-Benz AG
Benz-Str. 71063 Sindelfingen Location Details
Daniel Muecke Email: daniel.d.muecke@mercedes-benz.com