Logistics & Data Science Placement
13-month paid placement, £26,600 salary, apply data science in real manufacturing settings, gain hands-on experience, and develop your technical and business skills.
Introducing the BMW Logistics & Data Science Placement, a full-time 13-month internship designed for students with a knack for solving real-world problems. The role provides a competitive annual salary of £26,600, plus 26 days of holiday and a pension scheme. Tailored for students currently pursuing a degree, this placement promises varied work, personal development, and an attractive reward package.
Day-to-Day Responsibilities
The position involves working within logistics programme planning, handling production control, and optimising dispatch processes. You’ll collaborate closely with experienced professionals on-site.
The main focus is to apply data science skills to the production environment—using statistical analysis, artificial intelligence, and cloud platforms to improve operational processes.
Expect to drive innovations through digital twin technologies and work on predictive maintenance challenges using advanced analytics. Your ideas will shape logistics operations.
The internship encourages hands-on project management, the use of Python or JavaScript for programming, and developing tools that enhance efficiency in the plant.
You will also engage with external tech partners, giving you exposure to the latest advancements in logistics and production technology.
Key Advantages
The placement offers significant real-world experience in applying technical knowledge to complex manufacturing systems. You gain access to a network of expert mentors.
You’ll benefit from a supportive team environment, where your input is valued, leading to meaningful results. Access to employee benefits, such as gym and restaurant perks, is included.
Potential Downsides
As with any high-performance programme, expectations are demanding, and pace can be fast. It may be challenging for those new to industry-scale projects.
Applicants must be planning to return to their university studies after the placement, which may not suit everyone looking for a longer-term role.
Verdict
This placement is ideal for technically-minded students ready to translate theory into practice within a world-renowned company. It blends solid pay, growth, and future career prospects.