Data Analytics, AI & Machine Learning – 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 logistics concepts in place. Long before our premium vehicles reach the road, the delivery of materials from all over the world needs to be set into 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.

We believe in creating an environment where our placement students really can learn and develop during their time with us and where they are given their areas of responsibilities from the start. Our experts and mentors will treat you as part of the team from day one, encouraging you to bring your ideas to the table and allowing you to really show what you can do.

Plant Oxford is the birthplace and heart of MINI production. Manufactured to individual customer specifications, hundreds of MINIs leave the plant’s assembly lines each day, off to meet new owners in more than 110 countries around the world. Three UK plants have a part to play in MINI production – Plant Hams Hall makes engines, Plant Swindon produces body pressings and sub-assemblies for MINI, and all this comes together at Plant Oxford with body shell production, paint and final assembly.

MINI Plant Oxford – Data Analytics, AI & Machine Learning Internship – 13-Month Placement – (July 2026)

We are looking for 2 Interns to join us in our Maintenance Digitalisation team, One within Data Analytics, GenAI and Machine Learning and one within Data Analytics, Predictive Maintenance & IOT. The Maintenance Digitalisation focusses on the integration of innovation within the field of Assembly, this includes Data Analytics, Generative AI, Smart & Predictive Maintenance, Collaborative Robotics, and IOT device integration.

Responsibilities:

• Support the Assembly Data Strategy by supporting Data Analytic activities in particular within the field of AI and Machine Learning.
• Analyse data from multiple sources and using BMW IT systems create dashboards to visualize the results.
• Lead small data analytic initiatives focusing on Downtime “Hotspots” within the assembly production system.
• Development of AI tools to optimise workflows and assist with steering decisions (GenAI, Agentic AI)
• Work on integration of collaborative Robots into the maintenance teams,
• Support 3D visualisation activities and Virtual Factory within Assembly.

Requirements:

• A bachelor’s degree in computer science, Information Technology, or a related field.
• Should be working towards a computer science-based degree with a target level of 2:2 or above – alternatively, a Machine Learning / AI based degree.
• Very good general IT skills. (Microsoft Office) Experience of programming languages such as C, C#, java, Python, R etc would be advantageous.
• Previous experience of working within a fast-paced environment is advantageous.
• A passion for Data Analytics and AI is desirable.
• Time-Management has the ability to deal with multiple topics and meet tight dead-lines.

What we offer:

• Great Pay – A competitive annual salary of £25,250, 26 days holiday per annum (pro rata to your contract) and an attractive pension scheme.
• Rewarding Work-Life Balance – Contracted working hours are 37 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.

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.