BMW

Leider ist dieser Job nicht mehr aktiv

Originele vacaturetekst

Intern Data Engineering / Science Intern (f/m/d)

Do you want to have an impact in the development department of an automotive company? Are you ready to be a part of a dynamic team and work in the data science field (engineering, analysis, and visualisation) to use your skills? We are in the development department and tackling all data-related topics regarding the engine and we are looking for an intern to support our analytics team.

What awaits you?

  • During your internship you will use your analytics and artificial intelligence skills to optimize processes and enhance product quality in an international automotive environment.
  • We are dedicated to developing analytical solutions and create new models to enable new and better business with data centric methods and solutions.
  • We offer Data analysis and AI using latest machine learning and statistical methods.
  • Interesting use cases in the automotive development environment.
  • You will have the possibility to develop yourself and to enhance your skill level.

What should you bring along?

  • Studies in Data Science, Data Analytics, Statistics, Mathematics, Computer Science or a comparable course of studies.
  • Ideally first knowledge in the creation and development of data assets and pipelines with pandas/SQL and Apache Spark (AWS Glue).
  • Alternatively to knowledge in data pipelines (Spark/SQL): Knowledge in data visualization (Plotly/Dash, Superset, Angular).
  • Knowledge in Python, Java and well-known analytics libraries such as TensorFlow, PyTorch and scikit-learn.
  • Software Engineering and collaborative Software Development, e.g. Git, Scrum, Jira, CI/CD.
  • First practical experience and hands-on mentality.
  • Teamwork, communication skills and structured work style.

Are you enthused by new technologies and an innovative environment? Apply now!


Earliest starting date: 08/16/2021
Duration: 6 months.
Working hours: Full-time

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

Art des Stellenangebotes:
Intern

Fähigkeiten

  • Es ist kein Abschluss erforderlich