Data & Analytics - Placement Year

InternHunt; Farnborough; Hybrid; GBP 21,000 - 25,000; Full time

Benefits offered by this job

Subsidised on-site restaurant

Advantages scheme

Job summary

BMW Group UK is offering a 13‑month Data & Analytics placement starting July 2027. You will rotate across AI Enablement, Data Governance and AI Governance, and Reporting & Analytics while learning to deliver data-driven business transformations.

You will work with senior stakeholders, develop governance practices, and build visualisations to generate actionable insights. A strong mathematical background and a 2:1 or higher are expected.

Qualifications

• Pursuing a degree in computer science or mathematics with a 2:1 or higher.
• Strong A Levels in numerical subjects.
• Able to work with senior stakeholders across the business.
• Interest in data topics such as data analytics or AI.
• Analytical and detail‑oriented with a proactive attitude.

Responsibilities

• Support three rotations in AI Enablement, Data Governance and AI Governance, and Reporting & Analytics.
• Assist in defining problems and delivering data solutions.
• Develop data visualisations and prepare data for analytics across business functions.

Skills

Data governance

AI governance

Data visualization

Agile methods

JIRA

Confluence

Problem solving

Interpersonal skills

Education

Degree in computer science or mathematics

Strong A Levels in numerical subjects

Tools

Amazon Quicksite

Job description

Start With What Interests You.

The Summit One Office Farnborough is home to the National Sales Company for the BMW Group UK, as well as BMW Group Financial Services which offers retailers, corporate and private customers a range of customised financial services. Alphabet (GB) Ltd, as a leading provider of Business Mobility Services is also located in Farnborough.

BMW UK, National Sales Company, Farnborough - Data & Analytics - Placement (July 2027)

We are looking for two students to join our Data & Analytics Centre of Competence (CoC) for 13 months starting in July 2027. This is a diverse and broad role where you will support the CoC in ensuring we continue to drive the business transformation into becoming a truly data driven organisation. The ideal candidates will be passionate about solving problems and want to be involved in using our business data to generate real business value and drive the future direction of our organisation.

What We Do:

• Understand our business processes and how data relates to these, working alongside a dedicated team of Data Stewards, who represent each business department.
• Help the business to define the problems they want to solve.
• Design data solutions to business problems leveraging since source of truth data products.
• Develop data visualisations to provide business insights.
• Lead the strategy to enable AI value throughout BMW Group UK.
• Protect the quality and integrity of our corporate data.
• Transform the business data culture to maximise the benefits of data & AI literacy.
• Provide guidance on Data & AI Governance to ensure we follow the company policies with the appropriate guardrails are in place.

What awaits you?

As an intern in the Data & Analytics Centre of Competence within BMW Group UK, you will split your time across three distinct yet related disciplines. These disciplines are:

• Artificial Intelligence Enablement
• Data Governance and AI Governance
• Reporting & Analytics

During your time with us across the three rotations you will learn key skills in:

• How to establish, plan and deliver projects to help drive the business transformation strategy.
• Data Governance & AI Governance and the critical role it plays in any organisation as it advances its data maturity.
• Data visualisation techniques using tools such as Amazon Quicksite.
• Preparing and modelling data for use in data analytics or AI.
• Agile project methodology and tools such as JIRA and Confluence.
• Training delivery in Data & AI topics.

What should you bring along?

• Studying for a degree in computer science, mathematics (or related topic) and on track to achieve a 2:1 or above.
• Must have strong A Levels grades in numerical subjects.
• Strong interpersonal skills as this role will involve working in partnership with senior stakeholders from around the business.
• A keen interest in data and Artificial Intelligence.
• Strong analytical and problem-solving skills with a keen eye for detail.
• Interest in data topics such as data science or data analytics.
• Ability to work on own initiative (with support/mentoring as required).
• Outgoing and confident with a professional approach.
• Must be willing to take on responsibility and deliver to timelines.

What can you look forward to?

• Great Pay – A competitive annual salary, 27 days holiday per annum (pro rata to your contract) and an attractive pension scheme.
• Rewarding Work-Life Balance – Enjoy a supportive working environment that promotes wellbeing, flexibility and sustainable success.
• Exciting Additional Benefits – You will have the opportunity to enjoy other employee benefits, 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 a virtual assessment centre and an in-person 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.