Data Scientist - Placement Year

KNOWING WHAT, WHERE, HOW, WHEN AND WHY REQUIRES REAL TALENT, NOT JUST CURIOSITY

SHARE YOUR PASSION

Intelligent ideas come off the production line non-stop when you have intelligent concepts in place. Long before our premium vehicles reach the road, the delivery of materials from all over the world needs to be set in motion. With expertise and experience, with vision and commitment, with creative solutions and pleasure in effective collaboration. Share your enthusiasm for putting ideas into practice.

BMW Group Plant Hams Hall is a modern, state-of-the-art engine manufacturing facility, located just outside Birmingham, UK. Producing the latest generation of three- and four-cylinder petrol engines, and precision machining key engine components. Operating seven days a week, with more than one engine rolling off the line per minute, the plant plays a key role in BMW Group’s global production network, supplying engines for BMW and MINI, including some of the latest plug-in hybrid vehicles.

We are offering an interesting and challenging position as a Data Scientist. This is a 13-month placement based at Plant Hams Hall within the Data Science, Innovation & Digitalisation department where you will be an integral asset to our data and digitalisation strategy. Our manufacturing systems produce significant amounts of data, and we need data scientists to analyse and explore the potential within this data to support our business opportunities.

BMW Hams Hall, Birmingham - Data Scientist Internship- 13-month placement (July 2026)

• Working within the Plant's innovation team in an agile project management environment and collaborating with global partners.
• Data mining, applying statistical methods and predictive analytics on big homogeneous data sets.
• Developing dashboards and analytical tools.
• Improving production processes and efficiency using machine learning techniques.

• Studying towards a Bachelor's degree in Mathematics, Statistics, Computer Science, Data Science, Engineering, Physics or other quantitative field and on track to achieve a 2:2 or above.
• Excellent verbal and written communication skills.
• High intrinsic motivation, creativity, project management skills and entrepreneurial thinking.
• An interest in automotive engineering and the manufacture of premium power units.
• Strong programming language skills in one or more of the following (e.g. Python, Java, C#, C++, R).
• Experience with Excel and data visualisation tools, preferably PowerBI.
• Understanding of Oracle / SQL databases.
• Familiar with data mining, machine learning, statistical signal processing and pattern recognition.

• Great Pay – A competitive annual salary of £26,600, 26 days holiday per annum (pro rata to your contract) and an attractive pension scheme.
• Rewarding Work-Life Balance – Contracted working hours are 39 hours a week, with a half day on a Friday, helping you develop a fulfilling work-life balance.
• Exciting Additional Benefits – You will have the opportunity to enjoy other employee benefits, including an on-site gym, a subsidised on-site restaurant and access to our Advantages scheme which gives you a range of offers and discounts.

If you apply, the next stages of the recruiting process include online testing, an in-person assessment centre and then a virtual interview with the hiring manager.

To be eligible for this position, you must be returning to your studies, for a minimum of 6 months, after completion of this placement. You must be able to provide proof of your legal right to work in the UK.

We are committed to promoting equal opportunities in employment and job applicants will receive equal treatment regardless of disability, age, gender reassignment, marital or civil partner status, pregnancy or maternity, race, colour, nationality, ethnic or national origin, religion or belief, gender, sex or sexual orientation.

At the BMW Group, we place great importance on equal treatment and equal opportunities. Our recruiting decisions are based on the personality, experience, and skills of the applicants.

Closing date for applications: Friday 31st October 2025

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