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Internship Data-Driven Test Bench Control & AI-Supported Demand Forecasting

Porsche AG · Stuttgart

InternshipGerman needed: fluent
Still open on 2 Nov

Key facts

Duration
5 to 6 months
Language needed
German and English
Subject you study
Mechanical Engineering, Industrial Engineering, Computer Science, Data Science

What you'll do

  • Increase the degree of automation of existing data processing processes
  • Implement data-based tools to support test bench planning
  • Create dashboards to control and visualize test resources (Power BI)
  • Develop and apply AI-based methods to forecast future testing needs
  • Create management reports to support strategic decisions

What you need

  • A place at university in mechanical engineering, industrial engineering, computer science, data science or a comparable degree (at least in the 3rd semester or in a gap year between Bachelor and Master)
  • Quick grasp and strong initiative
  • An independent, structured way of working and a sense of responsibility
  • Sound knowledge of Python is mandatory
  • First experience with data analysis tools (e.g. Power BI) and ideally with AI methods (e.g. Scikit-learn, TensorFlow, Keras)
  • Teamwork, strong communication and analytical thinking
  • Very good German and good English skills (min. B2)

What you get

  • Insights into real test and verification control at a leading car manufacturer
  • A motivated, friendly team with high expertise
  • The chance to contribute your own ideas and take responsibility
  • Mobile learning and flexible working hours agreed with the team
  • An active intern community

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