Data Analytics Graduate Programme

Maths, Physics, Statistics, Computer Science, Data Science.

What will you do on the programme?

As a Data Analytics graduate, you won’t just be working with data – you’ll be influencing how we operate and support critical national infrastructure. Your work will help optimise operations, reduce risk, and enhance the performance of vital assets across defence, nuclear, and emergency services.

Graduates 2026
Hear from our recent graduates about their experiences at Babcock so far.

You’ll explore the full data lifecycle – from sourcing and cleaning datasets to uncovering patterns and presenting insights through clear, compelling visuals. This involves building reports in Power BI, conducting statistical analysis, or creating dashboards that highlight what’s working and where we can improve.

You’ll gain in-depth knowledge of our enterprise systems and contribute to projects that improve how we capture, manage, and use data. Some placements may also involve developing customer-facing applications and data solutions in Palantir Foundry to support smarter, faster decision-making.

With support from mentors and collaboration with experienced colleagues, you’ll quickly build confidence – learning to communicate insights, challenge assumptions, and contribute fresh ideas. You’ll help shape strategy, drive innovation, and improve the way teams work.

How is the programme structured?

This two-year programme is built around a series of rotational placements, each lasting between three and six months. These rotations are designed to give you practical experience across a variety of teams, tools, and challenges – helping you discover where your strengths and interests lie.

By the end of the programme, you’ll have a strong foundation in data analytics, and a clear sense of how your work can drive impact across a complex, data-driven organisation.

How do we develop and support you?

From day one, you’ll receive structured support, personalised training, and dedicated mentorship to help you excel throughout your programme and beyond.

You’ll join our Graduate Development Programme, featuring expert-led masterclasses on communication, personal branding, resilience, and wellbeing.

Alongside this, you’ll have access to online learning resources such as DataCamp and O’Reilly, plus a dedicated mentor to guide your development and support you in working towards professional chartership with bodies like the British Computer Society or the Institute of Mathematics for Data Science, with funding and time provided to help you meet the requirements.

You’ll develop key skills in data visualisation, cloud platforms, agile ways of working, and ethical AI. Depending on your placement, you may also explore areas like Business Analysis and Project Management, as well as using Python to build analytical models that analyse enterprise data and draw meaningful conclusions. There may also be opportunities to boost your learning with courses like Lean Six Sigma Yellow Belt, SQL, Python, or Palantir Foundry.

What’s waiting for you after the programme?

Upon completing the programme, you'll transition into a permanent role within Data Analytics with the skills and experience to make a real impact. 

From there, your development doesn’t stop. We’ll support you as you grow into more senior roles and take on greater responsibility. Through the Babcock Role Framework, you’ll have a clear view of how your career can progress, with mapped-out pathways, development opportunities and the tools you need to get wherever you want to go.

What rewards and benefits will you get?

We want you to feel supported, valued and excited about what’s ahead. That’s why we offer a comprehensive package designed to support your development, your wellbeing and your life outside of work too.

In addition to a minimum starting salary of £35,000, you’ll benefit from:

  • A minimum of 25 days of holiday plus bank holidays
  • Generous pension and employee share schemes
  • Flexible benefits, including cycle to work scheme, discounts
  • Wellbeing support, covering mental, physical, financial, and social wellbeing, with services like our Employee Assistance Programme, digital GP service, and health checks.

You’ll also have the chance to get involved in our STEM outreach activities and volunteering opportunities.

What do you need to apply?

  • You'll need to have achieved, or be on track to achieve, an (Hons) degree in Mathematics, Physics, Statistics, Operational Research and/or Computer Science, or Data Science. 
  • While not essential, experience with Python – or an interest in developing your Python skills – would be advantageous for some placements within the programme. 
  • Many of our programmes are subject to Security Clearance and Trade Control restrictions which mean that your place of birth, nationality, citizenship, or residency you hold or have held may impact which programmes you are eligible for. For this programme, you must be able to achieve and maintain Baseline Personnel Security Standard (BPSS) and Security Check (SC) security clearance. 

Where will you be based?

See below to find out more about the areas of our business that are offering places on our Data Analytics programme for September 2027.

Agile working is supported, but you’ll be expected to work on-site multiple times a week. Please note that certain placements may require full-time on-site attendance.

When you successfully complete the programme, you will continue at the same location, so it’s important you consider this when applying.

Marine – Rosyth

At the heart of our Marine business is our 320-acre Rosyth facility, which is home to one of the largest and most modern waterside advanced manufacturing and repair facilities in the UK. At Rosyth, we specialise in the design, build and through-life support of complex naval and commercial marine assets – developing innovative solutions for our customers’ projects with our integrated approach.

Your home base will be our Rosyth facility, however, some of your placements may be at other locations.

Nuclear – Bristol 

Our business in Bristol is a key strategic partner to our customers — the Ministry of Defence (MOD) and the Royal Navy. We ensure the UK Royal Navy goes to sea safely by sustaining the submarines with updates, design and documentation, upgrades and overhauls. We are developing innovative Operations Centres, technology insertion programmes, predictive data analytics and visualisation and training aids using games engine technologies.

Your home base will be the Babcock Technology Centre in Bristol, but some of your placements may be at other sites.

Application process and important information

Applications are reviewed in the order they are received, and if there’s a high level of interest in this programme, we may close applications earlier than advertised. To give yourself the best chance of being considered, we recommend submitting your application and completing any required online assessments as soon as possible.

Please apply to one programme only. If we receive more than one application from you, we’ll assess the first one submitted. If your chosen programme becomes oversubscribed, we may contact you to discuss other programmes you could be eligible for.

We're a Disability Confident Employer. If you require additional support or adjustments during the recruitment process, please let us know when you apply. Our team will contact you after receiving your application to discuss your requirements and the support available.

We’re committed to building an inclusive culture where everyone’s free to thrive. We are happy to talk about flexible working – please ask about alternative patterns of work at interview.

We've signed the Gradcracker feedback pledge.
(This means that we will supply feedback if requested after an interview.)

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Add to shortlist
Shortlisted
  • Deadline
    October 20th, 2026
  • Starting
    September 2027
  • Hiring Multiple Candidates
    Yes
  • Salary
    £35,000 + benefits
  • Degree required
    Bachelor's
  • Location
    Bristol and Rosyth (Dunfermline, Scotland)
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Disciplines Accepted...
  • Analytics/Statistics
  • Computer Science
  • Data Science
  • Physics
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