INTERNSHIP DETAILS

Internship Power Electronics Development & Data Analysis (f/m/d) Internship Power Electronics Development & Data Analysis (f/m/d) Internship Power Electronics Development & Data Analysis (f/m/d)

CompanyVolkswagen AG
LocationKassel
Work ModeOn Site
PostedJanuary 21, 2026
Internship Information
Core Responsibilities
The intern will develop code to analyze control unit behavior using machine learning and implement analysis pipelines for large datasets. Additionally, they will create evaluations and reports for validation activities and support project management tasks.
Internship Type
full time
Company Size
106666
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
The Volkswagen Group with its headquarters in Wolfsburg is one of the world’s leading automobile manufacturers and the largest carmaker in Europe. The Group is made up of ten brands from seven European countries: Volkswagen, Volkswagen Nutzfahrzeuge, ŠKODA, SEAT, CUPRA, Audi, Lamborghini, Bentley, Porsche and Ducati. Our group sells vehicles in 153 countries and operates 114 production plants worldwide. Each working day, around 675,000 employees worldwide produce cars, are involved in vehicle-related services or work in the other fields of business. Our goal is to make mobility sustainable for us and for future generations. Our promise: With electric drive, digital networking and autonomous driving, we make the automobile clean, quiet, intelligent and safe. At the same time, our core product becomes even more emotional and offers a completely new driving experience. It is also becoming part of the solution when it comes to climate and environmental protection. In this way, the car can continue to be a cornerstone of contemporary, individual and affordable mobility in the future. #Shapingmobility Imprint & Legal: http://vw.de/legal-notice DAT: http://vw.de/dat
About the Role

 

 

Work environment

At Volkswagen, we are shaping the electric drives that will power the mobility of tomorrow. Within our #OneTeam‑PWR, we develop power electronics in‑house with a start‑up mindset and tackle exciting technological challenges. You will dive deep into topics such as drive control, data analysis, and script development while also supporting project management with organizational tasks. Become part of our team and help us #Pushthepulse.

Possible tasks within this role

  • Developing code to analyze the behavior of control units using machine learning algorithms or statistical methods
  • Implementing analysis pipelines for large datasets collected from control units
  • Creating evaluations and reports for validation activities
  • Supporting the implementation of new functions in digital tools and assisting power users in room and resource management systems
  • Preparing reports and templates

Qualification requirements

  • Master’s students (or advanced Bachelor’s students with at least 90 ECTS credits) in Computer Science, Data Science, Electrical Engineering, or comparable fields of study
  • Good to excellent academic performance
  • Solid knowledge of Python programming as well as basic understanding of statistics and machine learning
  • Experience with data analysis tools and visualization techniques
  • Knowledge of control management and electric drive technologies, as well as experience in international project environments, is a plus
  • Strong teamwork skills and proficiency in MS Office
  • English language level B2

The following documents must be submitted with your application

  • Curriculum Vitae
  • Current certificate of enrolment
  • Current transcript of records
  • Work permit for non-EU citizens
  • In case of a compulsory internship, a certificate from the university

Keywords

Embedded Systems, Signal Processing, Automotive Software Engineering, Data Pipelines, Power Electronics Testing, Algorithm Development, Simulation Tools, Predictive Analytics, Control Systems Engineering

 

Contact person for this posting: Maximilian Kaeding

Key Skills
Python ProgrammingMachine LearningData AnalysisStatistical MethodsData VisualizationControl ManagementElectric Drive TechnologiesTeamworkMS Office
Categories
EngineeringData & AnalyticsTechnology