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Data Analytics - Placement Year

Bayerische Motoren Werke Aktiengesellschaft

Oxford

On-site

GBP 20,000 - 25,000

Full time

Today
Be an early applicant

Job summary

A leading automotive manufacturer is seeking a Data Analytics Intern for a 13-month placement at their Oxford plant. The role involves analysing production data, developing dashboards, and collaborating with teams to enhance manufacturing efficiency. The ideal candidate should be pursuing a relevant degree and possess strong analytical skills and knowledge of data analysis tools. Closing date for applications is November 30, 2025.

Qualifications

  • Pursuing a degree related to data analytics or engineering.
  • Experience in data analysis and visualization.
  • Knowledge of statistical methods and machine learning.

Responsibilities

  • Analyse production data to identify trends and bottlenecks.
  • Develop dashboards for key production metrics.
  • Collaborate with teams to understand data requirements.
  • Implement statistical models to predict production outcomes.
  • Recommend data-driven insights for operational improvements.

Skills

Analytical skills
Problem-solving
Data manipulation
Attention to detail
Project management
Communication

Education

Pursuing a degree in Data Science, Analytics, Industrial Engineering, or related field

Tools

SQL
Python
R
Tableau
Power BI
Job description
MINI Plant Oxford – Data Analytics Production Steering – 13-Month Placement (July 2026)

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

SHARE YOUR PASSION.

We are seeking a motivated and analytical Data Analytics Intern to join our team in the Vehicle Body Shop Manufacturing division. 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 visualisations 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.

What should you bring along?

  • 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

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: Sunday 30th November 2025

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