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Mbux data analyst / scientist intern

Sindelfingen
Praktikum
Mercedes-Benz Group AG
Data Analyst
Inserat online seit: 5 Juni
Beschreibung

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

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