Internship - Data Science for Assisted and - Stuttgart, Deutschland - CARIAD SE

CARIAD SE
CARIAD SE
Geprüftes Unternehmen
Stuttgart, Deutschland

vor 2 Wochen

Lena Wagner

Geschrieben von:

Lena Wagner

beBee Recruiter


PraktikumSHIP
Beschreibung
Internship - Data Science for Assisted and Automated Driving (M/F/d)


Systems Engineering

Student & Talent Programs

  • Mönsheim/Stuttgart


At CARIAD, it's our mission to transform automotive mobility for everyone, everywhere, making it safer, more sustainable, and more comfortable in every way.

To deliver on that promise, we're building a unified technology and software platform, including a vehicle OS and cloud platform, as well as a unified architecture.

As a 100% subsidiary of the Volkswagen Group, we're developing solutions for all of its brands, including Volkswagen, Audi, and Porsche, and will bring our software to over 40 million vehicles by 2030.

Is this an easy task? Not at all To tackle such a huge challenge, we need a great team. And that's where you come in.

You'll join more than 6,000 CARIDIANS already working on the latest vehicle features and functions like automated driving, state-of-the-art charging technology, as well as a new digital ecosystem.

Together, we're bringing sustainable change to one of the largest companies in the world.


YOUR TEAM:


WHAT YOU WILL DO:


  • Contribution to series projects by deriving decisions from data
  • Support of the teams in verification and validation activities
  • Independent evaluation of measurement data
  • Communication with internal and external partners
  • Creation of documentation and presentations

WHO YOU ARE:


  • Enrolled student in the field of Engineering, Computer/Data Science or similar
  • Data enthusiast with background in data science and/or statistics
  • First practical experience in system and software development would be helpful
  • Effective communicator to peers and project partners in German and English
  • Analytical understanding, solving problems is fun for you, aboveaverage commitment and flexibility
  • Structured and independent way of working and ability to work in remote teams

NICE TO KNOW:


  • Remote work options
  • Duration: 6 months
  • 35hour weeks

YOUR RECRUITING CONTACT:

Jennifer Podjatzki

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