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