Data Analytics - BMW UK Manufacturing, Oxford

Job Details

Data Analytics - BMW UK Manufacturing, Oxford

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World-leading technologies don’t make it into a BMW until they’ve undergone one of the most challenging journeys imaginable. It takes dynamic teams with outstanding technical skills to take them from the drawing board to the road. That’s why our experts will treat you as part of the team from day one, encourage you to bring your own ideas to the table – and give you the opportunity 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.

BMW UK, Oxford - Data Analytics Intern - 13 Month Placement (July 2025)

We have several placements within the Vehicle Body Shop Manufacturing division and are seeking a motivated and analytical Data Analytics Interns to join our team. In this role, you will work closely with the Production Steering team to leverage data analytics and emerging technologies like AI to drive operational improvements, cost optimisation, and enhance manufacturing efficiency. 

What awaits you?

• Analyse production data from the vehicle body shop to identify trends, bottlenecks, and opportunities for optimisation.
• Develop dashboards and visualizations to provide real-time insights into key production metrics.
• Collaborate with cross-functional teams to understand manufacturing processes and data requirements.
• Implement statistical models and machine learning techniques to predict production outcomes and enable proactive decision-making.
• Recommend data-driven and/or AI powered actionable insights and solutions in clear and concise reports to improve production planning, resource allocation, and quality control.

Qualifications and Experience

• Pursuing a degree in Data Science, Analytics, Industrial Engineering, Computer Science or a related technical field.
• Strong analytical and problem-solving skills with experience in data manipulation, analysis, and visualization.
• Attention to detail and project management skills.
• Proficiency in using data analysis tools such as SQL, Python, R, Tableau, or Power BI is recommended.
• Knowledge of statistical methods and machine learning algorithms.
• Excellent communication and presentation skills to effectively convey insights.
• Ability to work in a fast-paced, collaborative environment and adapt to changing priorities.
• Passion for driving operational improvements through data-driven decision-making.

Benefits

• Hands-on experience in a dynamic manufacturing environment.
• Exposure to cutting-edge data analytics techniques and their real-world applications.
• Mentorship and guidance from experienced professionals in the field.
• Opportunity to contribute to tangible business outcomes and make a meaningful impact.
• Potential for future full-time employment opportunities.

Why choose us?

• Great Pay – A competitive annual salary of £23.650, 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.

What do you need to do now?

If you apply, the next stages of the recruiting process could include online testing, video interview and then a face to face, telephone or virtual interview with the hiring manager. This may be in the form of an assessment centre.

Please note:

We operate rolling recruitment, this means we may close the application window earlier than identified, if sufficient applications are received, so please apply early to avoid disappointment.Once you make your application you will be automatically sent cognitive tests (via Eligo) for completion before we have had the opportunity to determine your eligibility for the role. Please be aware that if you complete the tests and you are not eligible your application will not be processed any further.

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.

About BMW Group UK

If you’re passionate about changing the way the world moves for good then there’s never been a more exciting time to be part of the BMW Group. Our brands BMW, MINI, Rolls-Royce Motor Cars and BMW Motorrad have made us the world’s leading premium manufacturer of cars and motorcycles as well as provider of premium financial and mobility services. 

We’re home to a lot of people. People from all walks of life, with a variety of backgrounds that make them who they are. Whose stories and unique life experiences shape the company we are. Because as diverse as our customers, suppliers and investors are worldwide, so too are our teams.

We are always looking for new talent to help us keep pushing the limits of what’s possible in a broad variety of roles, so why not explore our opportunities and take your next career step with us today.

How to apply

To apply for this role and to find out more, please click on the apply button.

Please note that applications may close before the application deadline, so apply early to avoid disappointment.