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

Apply Now

Data Scientist - Placement Year

Bayerische Motoren Werke Aktiengesellschaft
Oxford
2 weeks ago
Create job alert
MINI Plant Oxford - Data Scientist Internship - 13-Month Placement (July 2026)

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.


Overview

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.

What should you bring along?

  • 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.

What can you look forward to?

  • 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.

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

Closing date for applications: Friday 31st October 2025


#J-18808-Ljbffr

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist - Palantir

Data Scientist - Remote

Data Scientist Python Software - London (IT) / Freelance

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.