Working student research & development, data management (f/m/x)

Munich, DE

BMW Group

Welcome to the BMW Group. Our focus on the premium idea and the principle of sustainability appeals to people worldwide.

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THE BEST INTERNSHIP ALWAYS HAS A 'YOU' IN TEAM.

SHARE YOUR PASSION.

We believe in creating an environment where our interns really can learn by doing  and where they are given their own areas of responsibility right from the start of their time with us. That’s why our experts will treat you as part of the team from day one, encourage you to bring your own ideas to the table – and give you the opportunity to really show what you can do.

We, the BMW Group, offer you an interesting and varied working student occupation in the area of Research & Development. The department is responsible for product data management at BMW AG. 

 

 

What awaits you? 

  • Product Data Management (PDM) aims to create consistent data structures and systems that enable us to ensure high product data quality for all vehicles. 
  • An essential part of the product data management is the structure of the BOM, the engineering change management and the product master data.
  • You will assist in Data Engineering tasks such as the design, creation and interpretation of data evaluations, business reports and dashboards.
  • You derive technical solutions from professional use cases. 
  • Additionally, you will work in machine learning tasks involving the prediction of certain key parameters during the creation of a new part number. Therefore you will design, improve and implement machine learning algorithms and models, using e.g. natural language processing, reinforcement learning and computer vision.
  • You get to develop and maintain software tools and libraries for machine learning and work collaboratively with other teams to integrate solutions into our products. 
  • You will also participate in the development and evaluation of tools that harness the power of generative models such as ChatGPT, Microsoft Co-Pilot, Midjourney, and DALL-E. 


 

What should you bring along? 

  • Studies in Business Administration, Computer Science, and Mathematics ideally with a focus on Data Analytics or a comparable degree program.
  • Team and communication skills. 
  • First practical experience in Data Analytics and Machine Learning. 
  • Knowledge of working with visualization tools (preferably QlikSense, Tableau, Palantir or Power BI). 
  • Knowledge in Python programming language. 
  • Knowledge in Python libraries including Keras, Numpy, PyTorch, Pandas would be helpful. 
  • Good skills in English or German

 

 

What do we offer?

  • Comprehensive mentoring & onboarding.
  • Personal & professional development.
  • Flexible working hours.
  • Digital offers & mobile working.
  • Attractive remuneration.
  • Apartment offers for students (subject to availability & only Munich).
  • And many other benefits - see jobs/benefits

 

You are enthused by new technologies and an innovative environment? Apply now!

 

At the BMW Group, we see diversity and inclusion in all its dimensions as a strength for our teams. Equal opportunities are a particular concern for us, and the equal treatment of applicants and employees is a fundamental principle of our corporate policy. That is why our recruiting decisions are also based on personality, experience and skills.

Find out more about diversity at the BMW Group at bmwgroup.jobs/diversity
 

Earliest starting date: from 07/01/2024

Duration: 12 months

Working hours: Part-time or full-time


Contact:
BMW Group HR Team
+49 89 382-17001

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: ChatGPT Computer Science Computer Vision DALL-E Data Analytics Data management Data quality Engineering Generative modeling GPT Keras Machine Learning Mathematics Midjourney NLP NumPy Pandas Power BI Python PyTorch R&D Reinforcement Learning Research Tableau

Perks/benefits: Career development Flex hours Startup environment

Region: Europe
Country: Germany
Job stats:  67  20  0
Category: Research Jobs

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