Intern Data Science - Digital Product Offering (f/m/x)

Munich, DE

BMW Group

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A GOOD INTERNSHIP IS NEVER HANDS OFF.

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 internship in the area of data science - digital product offering. To take our digital products to the next level, the BMW GROUP's analytics team for digital product offerings is looking for a data science intern (f/m/x) to empower BMW's product teams with actionable data insights. As an intern, you will be part of a network of analysts who support cross-functional agile product teams designing, developing, operating, and optimizing products with data, tools, and analytics.  

 

What awaits you?

  • By joining BMW GROUP's analytics team for digital product offerings, you will gain extensive insights into a globally operating network.  
  • In your new role you support our team in deriving recommendations for actions to improve our digital products and the overall digital product portfolio.
  • You will leverage the underlying usage data for generating actionable insights for the product teams.   
  • Furthermore, you independently create advanced analytics methods, implement Data Science and Machine Learning use cases. 
  • In addition, you will handle datasets with several terabytes in size, using cloud technologies (e.g. AWS, PySpark).
  • Also you will be an integral team member, responsible for various projects, and your contribution will directly impact our products.  
  • You will act as a consultant recommending the latest trends in the Data Science field and work with other top consultancies to help build in-house competencies.  

 

What should you bring along? 

  • Currently enrolled full-time in an undergraduate or graduate program at an accredited college or university studying Computer Science, Statistics, Informatics, Data Science (Master's Degree preferred), or similar programs or in a Gap Year.  
  • Proven experience as a Data Scientist, Data Analyst, Data Engineer, or similar role. 
  • Strong mathematical and statistical skills, with the ability to analyze, interpret, and handle complex and very large data sets.
  • Knowledge of programming languages (e.g., Python, SQL, PySpark, Kotlin, JavaScript) and frameworks such as Scikit-Learn, TensorFlow, and PyTorch
  • Knowledge of Cloud-Architecture and Data Engineering systems (i.e., AWS, Azure, Palantir Foundry, Spark) and ML Ops Frameworks (I.e., MLFlow, Airflow) is beneficial.  
  • Experience in E-Commerce platforms such as Google & Adobe Analytics is a plus.  
     

Note: Please include your GitHub Account in your CV if you should have one.  

 

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 bmw.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 03/01/2025

Duration: 6 months

Working hours: Full-time


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

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Job stats:  10  0  0
Category: Product Jobs

Tags: Agile Airflow Architecture AWS Azure Computer Science E-commerce Engineering GitHub JavaScript Machine Learning MLFlow PySpark Python PyTorch Scikit-learn Spark SQL Statistics TensorFlow

Perks/benefits: Career development Flex hours Flex vacation

Region: Europe
Country: Germany

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