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- Tasks: Join BMW's Innovation team to apply data science in logistics and production.
- Company: BMW Group Plant Hams Hall, a state-of-the-art engine manufacturing facility.
- Benefits: Competitive salary, 26 days holiday, gym access, and work-life balance.
- Other info: Exciting opportunity for career growth and collaboration with top tech companies.
- Why this job: Make a real impact with cutting-edge technology in a dynamic environment.
- Qualifications: Pursuing a degree in relevant fields with strong communication and programming skills.
The predicted salary is between 22600 - 26600 £ per 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.
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.
What awaits you?
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.
What should you bring along?
- 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.
- Technical Proficiency: Programming experience with a preference for Python & JavaScript skills – opportunity to deviate from this where appropriate.
- 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.
What can you look forward to?
- 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.
What do you need to do now?
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.
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
Any further questions? Email us on recruitment-uk@bmwgroup.com
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Logistics & Data Science - Placement Year employer: BMW Group
Contact Detail:
BMW Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Logistics & Data Science - Placement Year
✨Tip Number 1
Get to know the company inside out! Research BMW Group and their logistics operations. Understanding their values and recent innovations will help you stand out in interviews and show your genuine interest.
✨Tip Number 2
Network like a pro! Connect with current employees on LinkedIn or attend industry events. Building relationships can give you insider info and even referrals, which can be a game-changer in landing that placement.
✨Tip Number 3
Prepare for those assessments! Brush up on your data science skills and practice problem-solving scenarios related to logistics. Being ready for technical questions will boost your confidence and impress the hiring team.
✨Tip Number 4
Don’t forget to showcase your passion! During interviews, share your enthusiasm for data science and how you envision applying it at BMW. Authenticity goes a long way in making a memorable impression.
We think you need these skills to ace Logistics & Data Science - Placement Year
Some tips for your application 🫡
Show Your Passion: When you're writing your application, let your enthusiasm for data science and logistics shine through. We want to see how your interests align with our innovative projects at BMW Group Plant Hams Hall.
Tailor Your CV: Make sure your CV highlights relevant skills and experiences that match the job description. We love seeing how your academic background and technical proficiency can contribute to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for this placement. Be specific about your experiences and how they relate to the role – we want to know what makes you tick!
Apply Through Our Website: Don’t forget to submit your application through our official website. It’s the best way to ensure it gets into the right hands, and we can’t wait to read what you’ve got to say!
How to prepare for a job interview at BMW Group
✨Know Your Stuff
Before the interview, dive deep into the logistics and data science aspects of the role. Familiarise yourself with key concepts like predictive maintenance, statistical analysis, and AI applications. This will not only show your passion but also your readiness to contribute from day one.
✨Show Off Your Problem-Solving Skills
Prepare examples of how you've tackled complex problems in the past, especially using data-driven approaches. Think about times when you used programming or statistical methods to find solutions. This will demonstrate your innovative mindset and analytical expertise.
✨Communicate Clearly
Practice articulating your thoughts clearly and concisely. Since communication skills are crucial for this role, consider doing mock interviews with friends or family. Focus on explaining technical concepts in a way that’s easy to understand, showcasing your ability to collaborate effectively.
✨Ask Insightful Questions
Prepare thoughtful questions about the team, projects, and technologies used at BMW Group Plant Hams Hall. This shows your genuine interest in the role and helps you assess if the company culture aligns with your values. Plus, it gives you a chance to engage with the interviewers on a deeper level.