Back to jobs

Thesis Causal ML for Prescriptive Decision Support in Automotive Goodwill

Pay
Pay not listed
Work setting
Not stated
Employment
Not stated

What you’ll work on

Full posting
  • Review literature on causal ML, uplift modeling and causal inference

  • Analyze goodwill, customer, vehicle and loyalty data

  • Help develop a causal DAG and identify confounders

  • Develop and compare Causal ML methods such as Causal Forests and Double Machine Learning

  • Evaluate treatment effect estimates and goodwill allocation policies

From the employer’s posting
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.
Apply at BMW

Posting record

Report an error
Status in our records
Live
First seen by us
Sep 16, 202659 days ago
Recorded sightings
542
Last seen by us
Nov 14, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 59

Similar jobs usually come down between day 8 and day 60.

At BMW, jobs usually come down by about day 35.

From 11,875 similar postings that came down, and 53 of BMW’s. Coming down is not always a hire.

BMW is hiring

7 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Data Scientist hiring is steady
  • Takes jobs down at a usual pace
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
Where the posting names them
- Strong analytical and problem-solving skills. - Experience with Python and common machine learning libraries. - Solid knowledge of statistics and machine learning.

Your next step

Complete your application on jobs.bmwgroup.com. The employer’s form will show what is required.

Applying through SAP SuccessFactors

  • Images (.jpg) aren’t accepted as a resume.

Already applied? Track this application

Demand for Data Scientist roles

New Data Scientist postings at the employers we follow are down 4% over the last 6 weeks compared with the 6 before.

Weekly new Data Scientist postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 1,403, the most 2,949, and the latest week had 2,098.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

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.

 

Would you like to help shape goodwill decisions in a data-driven and impactful way using Causal Machine Learning? Then Apply now!

 

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

 

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.

Source details

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay

No pay amount identified in the saved description.

Location & working pattern

Munich, BY, DE, 80809

Working pattern and location restrictions need checking in the full posting.

Work authorization

No clear work-authorization passage found. Eligibility is unconfirmed.

Find answers in the posting

AI
How answers work

AI selects complete passages from this posting. Check them for conditions and exceptions.

Uses this posting and your question. No profile needed.