Thesis Causal ML for Prescriptive Decision Support in Automotive Goodwill (f/m/x)

BMW Group; München; Vor Ort; EUR 16.000 - 22.000; Vollzeit

Benefits dieser Stelle

Apartments for students

Zusammenfassung

BMW Group in Munich offers an internship focused on data-driven optimization of goodwill decisions. You will support the development of causal ML methods and analyze goodwill, customer, vehicle, and loyalty data to inform decision-making.

The role includes literature reviews, building a causal DAG, and comparing Meta-Learners, Causal Forests, Double ML, and uplift models, contributing to a decision-support framework for goodwill allocation.

Qualifikationen

• Studies in data science, statistics, or related field.
• Strong analytical and problem-solving skills.
• Experience with Python and ML libraries.
• Good German and English skills.

Aufgaben

• Support literature review on state-of-the-art methods in Causal ML and uplift modeling.
• Analyze goodwill, customer, vehicle, and loyalty data.
• Develop a causal DAG and identify confounders such as vehicle model, service dealer, and customer history.
• Develop and compare Causal ML methods such as Meta-Learners, Causal Forests, Double Machine Learning, and Uplift Models.
• Evaluate treatment effect estimates and resulting goodwill allocation policies.
• Analyze heterogeneous treatment effects across customer, vehicle, and repair segments.
• Help develop a decision-support framework for optimizing goodwill allocation.

Kenntnisse

Analytical skills

Python

ML libraries

Statistics

Causal ML

English

German

Ausbildung

Data Science

Statistics

Mathematics

Tools

Python

scikit-learn

Pandas

NumPy

Jobbeschreibung

• Attractive & fair compensation.

Some It Works. Some Changes What's Possible.

SHARE YOUR PASSION.

More than 90% of automotive innovations are based on electronics and software. That's why creative freedom and lateral thinking are so important in the pursuit of truly novel solutions. 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 focuses on the data-driven optimization of goodwill decisions. We rely on Causal Machine Learning and Uplift Modeling to enhance customer satisfaction, loyalty, and budget efficiency. As part of your internship, you will support us in developing new analytical methods.

What awaits you?

• You will support the literature review on state-of-the-art methods in Causal Machine Learning, Uplift Modeling, and causal inference.
• Furthermore, you help analyze available goodwill, customer, vehicle, and loyalty data.
• In addition, you support the development of a causal DAG and the identification of confounders such as vehicle model, service dealer, and customer history.
• Moreover, you will assist in developing and comparing Causal ML methods such as Meta-Learners, Causal Forests, Double Machine Learning, and Uplift Models.
• Furthermore, you contribute to evaluating treatment effect estimates and resulting goodwill allocation policies.
• In addition, you support the analysis of heterogeneous treatment effects across customer, vehicle, and repair segments.
• Moreover, you help develop a decision-support framework for optimizing goodwill allocation.

What should you bring along?

• Studies in (business) informatics, data science, statistics, (business) mathematics or a related field.
• Strong analytical and problem-solving skills.
• Experience with Python and common machine learning libraries.
• Solid knowledge of statistics and machine learning.
• Interest in Causal ML, experimentation, and data-driven decision-making.
• Good German and English skills.

What do we offer?

• Comprehensive mentoring & onboarding.
• Personal & professional development.
• Flexible working hours.
• Mobile work.
• Attractive & fair compensation.
• Apartments for students (subject to availability & only at the Munich location).
• And much more, see bmw.jobs/waswirbieten

Start date: Earliest start date 19.10.2026

Duration: 6 Month

Working hours: Full-time

We at the BMW Group place great importance on equal treatment and equal opportunities. Our recruiting decisions are based on the personality, experiences, and skills of the applicants. More about this here.

Thesis Causal ML for Prescriptive Decision Support in Automotive Goodwill (f/m/x)