Logistics & Data Science Placement
Paid internship with £26,600 salary, 13-month full-time placement. Get skills in data science, logistics and AI. Ideal for tech-savvy undergraduates aiming to upskill.
Job Overview and Package
The BMW Logistics & Data Science placement is a 13-month full-time internship for undergraduates. It pays an attractive £26,600 plus pension, holidays, and other benefits.
You’ll work in a modern engine facility, supporting logistics, data science projects, and digital innovation within the production network.
The job combines hands-on work with opportunities to learn cloud platforms, AI tools, and programming in Python and JavaScript.
Working hours are 39 per week, including a half-day Friday for improved work-life balance. Applicants return to university after the placement.
Candidates must be eligible to work in the UK and ready to engage in a multi-stage recruitment process including online tests and interviews.
Day-to-day Responsibilities
Participants are immersed in logistics programme planning, production control, and process improvement.
You support critical materials delivery, help optimise engine rack and pallet systems, and monitor delivery performance metrics.
Daily tasks involve collaboration with tech firms, using business intelligence tools and contributing to AI project rollouts.
Project management features heavily, often integrating data analytics and digital twin technologies for effective manufacturing oversight.
Expect to use and develop skills in SQL databases, cloud computing (AWS, Azure), and artificial intelligence to drive innovation.
Pros: Standout Advantages
The placement offers a competitive salary for students, a rare full immersion in a leading automotive tech environment, and structured professional growth.
Work-life balance is prioritised, with half-day Fridays, 26 holidays, and access to in-house facilities such as a gym and subsidised restaurant.
Cons: Points to Consider
The selection process is rigorous and involves online tests, assessment centres, and virtual interviews, which may deter some applicants.
Competition is intense, and the technical learning curve for new digital tools could challenge those with less IT background.
Verdict: Is It Worth Applying?
This placement is a solid career springboard, offering both generous compensation and advanced tech training.
If you have a strong technical foundation and enthusiasm for logistics or data science, it’s an excellent choice for personal and professional growth.