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SHARE YOUR PASSION.
We believe in creating an environment where our interns really can learn by doing during their time with us and where they are given their own areas of responsibilities from the start. That’s why our experts 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.
MINI Plant Oxford - Data Scientist Internship - 13-Month Placement (July 2026)
The SmartOps team are responsible for the development and operations of the SmartOps (SPLUNK) application across the BMW global network.
What awaits you?
- You will help to design, build and roll out IT solutions as part of the IT DEV/OPs Feature Team.
- The Key to this role is using the agile working model, which is being able to establish business requirements and then translate them into an IT solution, whilst making sure that the resulting application helps the business to achieve its targets.
- You will also document, train and where necessary support already deployed applications.
- Liaise with customers and project stakeholders to determine requirements including arranging appropriate meetings and workshops.
- Capture and interpret business requirements in user stories to derive tasks for delivery.
- The candidate should be studying an IT, Business or Engineering related degree working towards a 2:2 or higher.
- Knowledge of different machine learning algorithms and experience implementing them in code.
- Knowledge of data analysis and data mining techniques, and experience implementing them in code.
- Expertise in using programming tools such as Python, MATLAB, R and SQL.
- 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.
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
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.
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 [email protected]
Data Scientist Internship
20250930
Automotive
Oxford
United Kingdom
Legal Entity
BMW (UK) Manufacturing Ltd.
Location:
Oxford
Job Field
Data Science
Job ID
162052
Publication Date
30.09.2025
Internship
Full-time
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Key Skills
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