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Student trainee in digitalization & AI process design and quality management

New

Job

  • Level
    Junior
  • Job Field
    Application
  • Employment Type
    Part Time
  • Contract Type
    Internship / school internship
  • Location
    Sindelfingen
  • Working Model
    Hybrid, Onsite
  • Job Summary

    In this role, you actively shape digitalization in quality management, developing AI-driven solutions while analyzing processes and creating innovative dashboard applications.

    Job Technologies

    Your role in the team

    In the team "PLQ Vehicle / Method & Maturity Level Management," we shape the quality standards of future Mercedes-Benz vehicle generations using modern technologies such as Microsoft 365, Power Platform, Data Analytics, and Artificial Intelligence (AI).

    An agile working environment offers you the opportunity to actively contribute to the digitalization of our processes and to develop innovative solutions for quality management in the vehicle development process.

    You can expect an interdisciplinary team that combines technical expertise with new technologies and is looking forward to your ideas, creativity, and technical curiosity.

    We work together to make processes more efficient, transparent, and data-driven, offering you a high degree of autonomy as well as the opportunity to directly apply modern AI applications in practice.

    Among other things, you can expect:

    • Participation in digitization and AI projects in the field of vehicle development
    • Support in the development of AI-powered solutions based on Microsoft Copilot, Power Platform, and other modern technologies
    • Analysis of existing processes as well as identification of automation and optimization potentials
    • Creation of dashboards, evaluations, and digital applications for quality management
    • Collaboration within interdisciplinary teams to develop innovative solutions for complex issues
    • Support in workshops, introductions of new methods, and the implementation of digitization projects

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    Our expectations of you

    Education

    • Degree in (Business) Informatics, Data Science, Industrial Engineering, Engineering Sciences, or a comparable field of study

    Qualifications

    • Excellent German and English skills
    • Interest in digitization, data analysis, and artificial intelligence
    • Analytical thinking and structured working methods
    • High level of initiative and enjoyment of working independently

    Experience

    • Initial experience with Microsoft 365, Power BI, Power Apps, Python, or comparable technologies is advantageous.

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    What we offer

    • Working student position from 01/09/2026 to 28/02/2027
    • Flexible working hours
    • Mobile working possible
    • Extensive insights into vehicle development and quality management at Mercedes-Benz

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    Benefits

    Higher Take-Home Pay

    Health, Fitness & Fun

    Work-Life-Integration

    Food & Drink

    Topics You Will Work On

    Job Locations

    • Location Sindelfingen

      Baden-WΓΌrttemberg

      Germany

    About Your Employer

    Mercedes - Benz AG

    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

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    Total

    (1 Review)
    4.4
    • Workingconditions

      4.8
    • Engineering

      4.0
    • Career Growth

      4.8
    • Culture

      4.2
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    Logo Mercedes - Benz AG

    Student trainee in digitalization & AI process design and quality management

    Location
    Sindelfingen
    Working Model
    Hybrid, Onsite
    Diversity
    Open for all genders

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