195514 Published: 16.09.2026 IT Innovation and Research Munich New IT Innovation and Research Munich Munich

BMW Group; München; Sur place; EUR 13 000 - 20 000; Plein temps

Avantages offerts par ce poste

Mobile work

Apartments for students (Munich)

Résumé du poste

BMW Group IT Innovation and Research in Munich invites a thesis intern to work on Causal ML for prescriptive decision support in automotive goodwill. You will conduct literature reviews, analyze diverse datasets, and assist in developing a causal DAG and uplift models.

You will compare Meta-Learners, Causal Forests, Double Machine Learning, and uplift methods, contributing to a framework for optimizing goodwill allocation.

Qualifications

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

Responsabilités

• Support literature review on causal ML, uplift modeling, and causal inference.
• 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 like Meta-Learners, Causal Forests, Double Machine Learning, and Uplift Models.
• Evaluate treatment effect estimates and goodwill allocation policies.
• Analyze heterogeneous treatment effects across customer, vehicle, and repair segments.
• Contribute to a decision-support framework for optimizing goodwill allocation.

Connaissances

Analytical skills

Problem solving

German language

English language

Formation

Studies in business informatics, data science, statistics, or related field

Outils

Python

scikit-learn

Description du poste

IT Innovation and Research Munich 16.09.2026

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

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?

• Mobile work.
• Apartments for students (subject to availability & only at the Munich location).

Duration: 6 Month

Working hours: Full-time

You can find helpful tips on your application and the application process here .

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)

Legal Entity:

BMW AG

Location:

Job Field:

IT Innovation and Research

Job ID:

195514

Publication Date:

16.09.2026