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- Tasks: Support data analytics in AI and machine learning, creating dashboards and optimising workflows.
- Company: Join the innovative MINI team at BMW Group, a leader in automotive excellence.
- Benefits: Competitive salary, 26 days holiday, on-site gym, and flexible working hours.
- Why this job: Make a real impact with cutting-edge technology in a dynamic and supportive environment.
- Qualifications: Pursuing a degree in computer science or related field; programming skills are a plus.
- Other info: Gain hands-on experience in a fast-paced setting with excellent career growth opportunities.
The predicted salary is between 25000 - 25000 £ per year.
KNOWING WHAT, WHERE, HOW, WHEN AND WHY REQUIRES REAL TALENT. NOT JUST CURIOSITY.
SHARE YOUR PASSION.
Intelligent ideas come off the production line non-stop when you have intelligent logistics concepts in place. Long before our premium vehicles reach the road, the delivery of materials from all over the world needs to be set into motion. With expertise and experience, with vision and commitment, with creative solutions and pleasure in effective collaboration. Share your enthusiasm for putting ideas into practice.
We believe in creating an environment where our placement students really can learn and develop during their time with us and where they are given their areas of responsibilities from the start. Our experts and mentors will treat you as part of the team from day one, encouraging you to bring your ideas to the table and allowing you 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.
MINI Plant Oxford – Data Analytics, AI & Machine Learning Internship – 13-Month Placement – (July 2026)
We are looking for 2 Interns to join us in our Maintenance Digitalisation team, One within Data Analytics, GenAI and Machine Learning and one within Data Analytics, Predictive Maintenance & IOT. The Maintenance Digitalisation focusses on the integration of innovation within the field of Assembly, this includes Data Analytics, Generative AI, Smart & Predictive Maintenance, Collaborative Robotics, and IOT device integration.
Responsibilities:
- Support the Assembly Data Strategy by supporting Data Analytic activities in particular within the field of AI and Machine Learning.
- Analyse data from multiple sources and using BMW IT systems create dashboards to visualize the results.
- Lead small data analytic initiatives focusing on Downtime “Hotspots” within the assembly production system.
- Development of AI tools to optimise workflows and assist with steering decisions (GenAI, Agentic AI)
- Work on integration of collaborative Robots into the maintenance teams,
- Support 3D visualisation activities and Virtual Factory within Assembly.
Requirements:
- A bachelor’s degree in computer science, Information Technology, or a related field.
- Should be working towards a computer science-based degree with a target level of 2:2 or above – alternatively, a Machine Learning / AI based degree.
- Very good general IT skills. (Microsoft Office) Experience of programming languages such as C, C#, java, Python, R etc would be advantageous.
- Previous experience of working within a fast-paced environment is advantageous.
- A passion for Data Analytics and AI is desirable.
- Time-Management has the ability to deal with multiple topics and meet tight dead-lines.
What we offer:
- 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.
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.
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Data Analytics, AI & Machine Learning – Placement Year employer: NLP PEOPLE
Contact Detail:
NLP PEOPLE Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analytics, AI & Machine Learning – Placement Year
✨Tip Number 1
Network like a pro! Reach out to current or former employees on LinkedIn and ask about their experiences. A friendly chat can give you insider info and might even lead to a referral.
✨Tip Number 2
Prepare for the interview by researching the company’s latest projects in AI and Machine Learning. Show them you’re not just interested in the role, but also in how you can contribute to their innovative ideas.
✨Tip Number 3
Practice your problem-solving skills! Be ready to tackle some real-world data challenges during interviews. They want to see how you think and approach issues, so don’t hold back on showcasing your analytical prowess.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re serious about joining the team and eager to be part of the exciting work at MINI.
We think you need these skills to ace Data Analytics, AI & Machine Learning – Placement Year
Some tips for your application 🫡
Show Your Passion: When you're writing your application, let your enthusiasm for Data Analytics and AI shine through. We want to see how excited you are about the role and how you can contribute to our team!
Tailor Your CV: Make sure your CV is tailored to the job description. Highlight relevant skills and experiences that align with what we're looking for in a Data Analytics intern. We love seeing how your background fits with our needs!
Be Clear and Concise: Keep your application clear and to the point. We appreciate well-structured responses that get straight to the heart of your qualifications and ideas. Remember, less is often more!
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. We can't wait to hear from you!
How to prepare for a job interview at NLP PEOPLE
✨Show Your Passion for Data
Make sure to express your enthusiasm for data analytics, AI, and machine learning during the interview. Share specific examples of projects or experiences that ignited your interest in these areas. This will help you connect with the interviewers and demonstrate that you're genuinely excited about the role.
✨Know Your Tech Stack
Brush up on the programming languages mentioned in the job description, like Python, R, or Java. Be prepared to discuss how you've used these tools in past projects or coursework. Showing that you have hands-on experience will set you apart from other candidates.
✨Prepare for Scenario Questions
Expect questions that ask you to solve hypothetical problems related to data analytics or machine learning. Practice articulating your thought process clearly and logically. This will showcase your analytical skills and ability to think on your feet, which are crucial for the role.
✨Ask Insightful Questions
At the end of the interview, have a few thoughtful questions ready about the team, projects, or company culture. This shows that you're not only interested in the position but also in how you can contribute to the team's success. It’s a great way to leave a lasting impression!
