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Intern Data Scientist - Residual Value Risk Management - BMW AG
Data Scientist
An entry‑level data science internship focused on residual value risk, leveraging Python, machine learning, and statistical modeling to analyze vehicle depreciation and forecast risk metrics.
About the role
Key Responsibilities
- Assist in developing predictive models to estimate residual value risk using Python and machine learning libraries.
- Collect, clean, and analyze large datasets from internal and external sources, ensuring data quality and integrity.
- Collaborate with cross‑functional teams to translate business requirements into analytical solutions.
- Support the creation of dashboards and visualizations to communicate findings to stakeholders.
- Document model development processes and maintain reproducible code repositories.
Requirements
- Current enrollment in a STEM program (Data Science, Statistics, Computer Science, or related field).
- Strong programming skills in Python and experience with libraries such as pandas, scikit‑learn, or similar.
- Basic knowledge of statistical modeling and machine learning concepts.
- Proficiency in SQL for data extraction and manipulation.
- Excellent analytical, problem‑solving, and communication skills.
Skills
pythonmachine learningsqldata analysisaws