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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

24Open Positions

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Intern Data Science & Data Analytics Financial Services

BMW Group
Found 4 weeks ago
Location
Munich, Germany
Duration (Months)
6 Months
Time
Full-time
Work Mode
Hybrid
Salary
Attractive & fair compensation
Visa Help
Not disclosed
Last Verified
4 weeks ago

Education

  • Bachelor

Skills & Qualifications

Technical Skills

  • statistics
  • MS Office
  • SAS
  • R
  • Python

Soft Skills

  • Team spirit
  • oral and written communication skills
  • Analytical thinking

Job Description

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. Our team at the BMW Group Financial Services is passionate about providing innovative financial solutions for our customers. We offer you the opportunity to gain valuable insights into risk management in the B2B and fleet business during your internship. What awaits you? * You will support our team in identifying, evaluating, and managing risks such as Residual Value, Service and Maintenance, and Self-Funded Insurance Risks in the B2B and fleet business. * Furthermore, you help with the rollout of risk models in European Alphabet entities. * In addition, you contribute to the day-to-day operative business and gain practical experience. * Moreover, you will support the team by bringing in your own ideas and learning through active participation.

Requirements

  • Studies in economics, data science, statistics or a similar program.
  • Experience in statistics.
  • Excellent knowledge of MS Office and common statistical software packages such as SAS, R or Python.
  • Interest in cars and strong technical understanding of electric and internal-combustion engine vehicles.
  • Team spirit and strong oral and written communication skills.
  • Analytical thinking.
  • Good English skills.

Related Field

  • Data & Analytics

Related Subfield

  • Data Science

Languages

  • English

Nice to Haves

  • Interest in cars and strong technical understanding of electric and internal-combustion engine vehicles.
▶Apply Now

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