BMW UK, Oxford - Data Analytics Intern - 13 Month Placement (July 2025)

BMW Group
Oxford
7 months ago
Applications closed

NO NEED TO PREDICT THE FUTURE. YOU CAN CREATE IT.

SHARE YOUR PASSION

World-leading technologies don’t make it into a BMW until they’ve undergone one of the most challenging journeys imaginable. It takes dynamic teams with outstanding technical skills to take them from the drawing board to the road. 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.

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.

BMW UK, Oxford - Data Analytics Intern - 13 Month Placement (July 2025)

We have several placements within the Vehicle Body Shop Manufacturing division and are seeking a motivated and analytical Data Analytics Interns to join our team. In this role, you will work closely with the Production Steering team to leverage data analytics and emerging technologies like AI to drive operational improvements, cost optimisation, and enhance manufacturing efficiency.

What awaits you?

Analyse production data from the vehicle body shop to identify trends, bottlenecks, and opportunities for optimisation. Develop dashboards and visualizations to provide real-time insights into key production metrics. Collaborate with cross-functional teams to understand manufacturing processes and data requirements. Implement statistical models and machine learning techniques to predict production outcomes and enable proactive decision-making. Recommend data-driven and/or AI powered actionable insights and solutions in clear and concise reports to improve production planning, resource allocation, and quality control.

Qualifications and Experience

Pursuing a degree in Data Science, Analytics, Industrial Engineering, Computer Science or a related technical field. Strong analytical and problem-solving skills with experience in data manipulation, analysis, and visualization. Attention to detail and project management skills. Proficiency in using data analysis tools such as SQL, Python, R, Tableau, or Power BI is recommended. Knowledge of statistical methods and machine learning algorithms. Excellent communication and presentation skills to effectively convey insights. Ability to work in a fast-paced, collaborative environment and adapt to changing priorities. Passion for driving operational improvements through data-driven decision-making.

Benefits

Hands-on experience in a dynamic manufacturing environment. Exposure to cutting-edge data analytics techniques and their real-world applications. Mentorship and guidance from experienced professionals in the field. Opportunity to contribute to tangible business outcomes and make a meaningful impact. Potential for future full-time employment opportunities.

Why choose us?

·Great Pay – A competitive annual salary of £23,650, 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 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. If you need support in undertaking the tests, please email us at .

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.

Closing date for applications: Saturday 30th November 2024

Any further questions? Email us on 

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Jobs

Rural-Remote Machine Learning Jobs: Finding Balance Beyond the Big Cities

Over the past decade, machine learning (ML) has transformed from a niche research domain into a pervasive technology underpinning everything from recommendation systems and voice assistants to financial forecasting and autonomous vehicles. Historically, the UK’s major tech hubs—particularly London—have been magnets for top ML talent and corporate headquarters. However, remote work has become mainstream, and many ML professionals are realising they can excel in their field while living far beyond the city limits. At MachineLearningJobs.co.uk, we’ve observed a growing interest in positions that allow for a rural lifestyle or a coastal environment, often reflected in search terms like “ML remote countryside” or “tech jobs by the sea.” This surge is no coincidence. Flexible work policies, better rural broadband, and the nature of machine learning tasks—much of which can be done through cloud platforms—are bringing new opportunities to those who wish to swap urban hustle for fresh air and scenic views. Whether you’re a data scientist, ML engineer, researcher, or product manager, a rural or seaside move could reinvigorate your work-life balance. In this article, we’ll unpack why rural-remote ML jobs are on the rise, how you can navigate the challenges of leaving the city, and what you need to do to thrive in a machine learning career beyond the M25. If you’ve dreamt of looking up from your laptop to rolling fields or ocean waves, keep reading—your rural ML role might be closer than you think.

Jobs

Quantum-Enhanced Machine Learning—Propelling AI into the Next Frontier

Machine learning (ML) has revolutionised how we interpret data, build predictive models, and create intelligent applications. From recommendation engines and self-driving cars to advanced genomics and natural language processing, ML solutions are integral to nearly every corner of modern life. However, as data complexity and model size continue to skyrocket, the computational demands placed on ML systems grow in tandem—often pushing even high-performance classical computers to their limits. In recent years, quantum computing has emerged as a tantalising solution to these challenges. Unlike traditional digital systems, quantum computers exploit quantum mechanics—superposition and entanglement—to process information in ways that defy conventional logic. As these machines mature, they promise exponential speed-ups for certain tasks, potentially reshaping how we approach AI and data-intensive challenges. What does this mean for machine learning? Enter quantum-enhanced ML, a new frontier where quantum processors and classical ML frameworks unite to accelerate model training, tackle high-dimensional data, and solve complex optimisation tasks more efficiently. In this article, we will: Unpack the current state of machine learning, highlighting key bottlenecks. Provide a concise overview of quantum computing—why it’s radical and how it differs from classical technology. Examine potential breakthroughs in quantum-enhanced ML, including real-world use cases and technical approaches. Explore the roles and skill sets that will define this quantum-AI era, with guidance on how to prepare. Discuss the roadblocks (like hardware maturity and ethical concerns) and how they might be addressed in the years to come. If you’re a machine learning engineer, data scientist, or simply an AI enthusiast fascinated by the next wave of computational innovation, read on—quantum computing could become an integral part of your future toolkit, opening up job opportunities and reimagining what ML can achieve.

Jobs

Machine Learning Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Machine learning (ML) has become the beating heart of modern tech innovation, powering breakthroughs in healthcare, finance, cybersecurity, robotics, and more. Across the United Kingdom, this surge in ML-driven solutions is fueling the success of countless start-ups—and spurring demand for talented machine learning engineers, data scientists, and related professionals. If you’re eager to join a high-growth ML company or simply want to keep tabs on the latest trends, this Q3 2025 Investment Tracker will guide you through the newly funded UK start-ups pushing the boundaries of ML. In this article, we’ll highlight key developments from Q3 2025, delve into the most promising newly funded ventures, and shed light on the machine learning roles they’re urgently seeking to fill. Plus, we’ll show you how to connect with these employers via MachineLearningJobs.co.uk, a dedicated platform for ML job seekers. Let’s dive in!

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.