Data Scientist Placement - BMW Hams Hall, Birmingham
SHAPE THE FUTURE OF MANUFACTURING WITH INNOVATION AND DIGITILISATION
More than 90% of automotive innovations are based on electronics and software. That’s why creative freedom and lateral thinking are so important in the pursuit of truly novel solutions. And 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.
BMW Group Plant Hams Hall is a modern, state-of-the-art engine manufacturing facility, located just outside Birmingham, UK. Producing the latest generation of three and four cylinder petrol engines, and precision machining key engine components, the plant has recently celebrated 20 years of successful production. Operating seven days a week, with more than one engine rolling off the line per minute, the plant plays a key role in BMW Group’s global production network, supplying engines for BMW and MINI, including some of the latest plug-in hybrid vehicles.
BMW Hams Hall, Birmingham – Data Scientist – 13 Month Placement (July 2025)
Join our award-winning Innovation and Digitalisation team at BMW Plant Hams Hall for an enriching 13-month Data Science Placement. This role offers a unique blend of responsibilities and opportunities, working with state-of-the-art technologies and complex data systems integral to our production processes.
What awaits you?
* As the recipient of the UK Manufacturer Smart Factory Award 2023, our team provides an unparalleled platform for you to translate your passion for data science into real-world applications within an industry-leading setting. Expect to make a tangible impact and be given the responsibility and freedom to develop your skills in a dynamic, agile environment.
* Innovative Problem-Solving: Utilize statistical analysis and artificial intelligence to tackle challenges in predictive maintenance and optimize logistics operations.
* Ownership & Innovation: Engage with our "Fully Connected Digital Twin" to drive innovation and lead projects alongside our dedicated associates.
* Collaborative Opportunities: Work alongside top external tech companies to spearhead innovation initiatives.
* Cutting-Edge AI Exploration: Investigate generative AI applications, including the development of a Copilot tool aimed at enhancing operational transparency and efficiency.
* Advanced Cloud Technology: Enhance your expertise in cloud computing by using platforms and tools from AWS, Azure, and others.
Qualifications and Experience
* Academic Excellence: Pursuing a degree in Mathematics, Statistics, Computer Science, Data Science, Engineering, Physics, or a related field, with a strong academic record.
* Communication Skills: Exceptional verbal and written communication abilities.
* Innovative Mindset: A proactive approach with creativity, project management capability, and a knack for entrepreneurial thinking.
* Technical Proficiency: Programming experience with a preference for Python & JavaScript skills – opportunity to deviate from this where appropriate.
* Database Knowledge: A grasp of using SQL databases is beneficial.
* Analytical Expertise: Adept in areas such as data mining, machine learning, statistical signal processing, and pattern recognition.
* Business Intelligence Insight: Experience with business intelligence or familiarity with low/no code platforms is advantageous.
Why choose us?
* Great Pay: A competitive annual salary of £24,950, 26 days holiday per annum (pro rata to your contract) and an attractive pension scheme.
* Rewarding Work-Life Balance: Contracted working hours are 39 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.
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