Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Metrology Data Scientist - Placement Year

Bayerische Motoren Werke Aktiengesellschaft
Birmingham
2 weeks ago
Create job alert

Press Tab to Move to Skip to Content Link

Select how often (in days) to receive an alert:

Metrology Data Scientist - Placement Year

SOME IT WORKS. SOME IT CHANGES WHAT’S POSSIBLE

SHARE YOUR PASSION

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 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.
  • 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 are39 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


#J-18808-Ljbffr

Related Jobs

View all jobs

Metrology Data Scientist - Placement Year

Weather Data Engineer

Data Science Community Champion Industrial Placement 2026

Climate Metadata Analyst Industrial Placement 2026

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.