Data Science and ML Engineering Intern

Vor 6 Tagen

Munich, Bayern, Deutschland BMW Group Vollzeit
Unlock Your Potential in Data Science and ML Engineering

We're seeking a talented and motivated individual to join our team as a Data Science and ML Engineering Intern. As a key member of our team, you'll have the opportunity to work on exciting projects, collaborate with cross-functional teams, and develop your skills in data analysis, machine learning, and software development.

What You'll Do
  • Design, implement, and validate machine learning models to predict supply chain trends and optimize logistics.
  • Develop algorithms and systems for automating reporting tasks, reducing manual effort, and minimizing errors.
  • Collaborate with data engineers, supply chain experts, and IT professionals to ensure seamless integration of ML solutions into existing workflows.
  • Prepare detailed reports and presentations on project progress, findings, and recommendations.
What We're Looking For
  • Currently pursuing a degree in Data Science, Computer Science, Engineering, Mathematics, or a related field.
  • Proficiency in programming languages such as Python or R.
  • Experience with data analysis tools and libraries (e.g., Pandas, NumPy, Matplotlib, Scikit-Learn) and familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch).
  • Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud), SQL, and experience with database management.
  • Excellent written and verbal communication skills in English, with the ability to present complex information clearly and concisely.
What We Offer
  • Comprehensive mentoring and onboarding.
  • Personal and professional development opportunities.
  • Flexible working hours and digital offers.
  • Attractive remuneration and apartment offers for students (subject to availability).

We're an equal opportunities employer and welcome applications from diverse candidates. If you're passionate about data science and ML engineering, and want to make a tangible impact on BMW's supply chain operations, we encourage you to apply.

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