Metrology Data Scientist - Placement Year
BMW Hams Hall, Birmingham – Data Scientist – 13 Month Placement (July 2025)
Join our Metrology 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.
What should you bring along?
* 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.
What can you look forward to?
* Great Pay – A competitive annual salary of £26,600, 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 include online testing, an in person assessment centre and then a virtual interview with the hiring manager.
Please note:
* 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 recruitment-uk@bmwgroup.com
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.