Logistics & Data Science - Placement Year

Production planning and control at BMW Group Plant Hams Hall, a state-of-the-art engine manufacturing facility located just outside Birmingham, UK.

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.

Producing the latest generation of three- and four-cylinder petrol engines, and precision machining key engine components, our 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.

BMW Group, Hams Hall - Logistics & Data Science Internship - 13-Month Placement (July 2026)

Join our award-winning Innovation and Digitalisation team at BMW Plant Hams Hall for an enriching 13-month Logistics & Data Science Placement. This role offers a unique blend of responsibilities and opportunities within the Logistics Programme Planning, Production & Dispatch Control department at Plant Hams Hall, working with state-of-the-art technologies and complex data systems integral to our production processes.

As the recipient of the UK Manufacturer Smart Factory Award 2023, our team provides an unparalleled platform for you to translate your passion for data science into real-world applications within an industry-leading setting. Expect to make a tangible impact and be given the responsibility and freedom to develop your skills in a dynamic, agile environment. You will:

• Gain knowledge across Programme planning, Production Control, and dispatch, with emphasis on supporting the engine rack and pallet steering for machined components within the European production network and related dispatch processes, including haulier performance tracking and continuous improvements.
• Apply innovative problem-solving using statistical analysis and artificial intelligence to address predictive maintenance challenges and optimize logistics operations.
• Take ownership and drive innovation by engaging with the Fully Connected Digital Twin to lead projects alongside dedicated associates.
• Collaborate with top external tech companies to spearhead innovation initiatives in the logistics and production domain.
• Explore cutting-edge AI applications, including developing a Copilot tool to enhance operational transparency and efficiency.
• Advance cloud technology skills by leveraging platforms and tools from AWS, Azure, and others to support scalable solutions.

• Academic Excellence:Pursuing a degree in Mathematics, Statistics, Computer Science, Data Science, Engineering, Logistics, Physics, or a related field, with a strong academic record.
• Communication Skills:Exceptional verbal and written communication abilities. Innovative Mindset: A proactive approach with creativity, project management capability, and a knack for entrepreneurial thinking.
• Database Knowledge:A grasp of using SQL databases is beneficial.
• Analytical Expertise:Adept in areas such as data mining, machine learning, statistical signal processing, and pattern recognition.
• Business Intelligence Insight:Experience with business intelligence or Business Intelligence Insight and experience with business intelligence or familiarity with low/no code platforms is advantageous.

• 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.

To 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.

Please note:

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