Data Analytics Graduate Programme
// Role Summary
Join our two-year Data Analytics Graduate Programme and transform raw data into actionable insights that support critical national infrastructure. Develop your skills in data lifecycle management, visualisation, and advanced analytics with structured support and a clear career pathway.
// Key Responsibilities
- Gain hands-on experience across the full data lifecycle, from sourcing to insight presentation.
- Utilise tools like Power BI and Palantir Foundry to build reports and develop data solutions.
- Benefit from a structured two-year programme with rotational placements and dedicated mentorship.
- Access extensive training, including masterclasses, online learning resources, and support for professional chartership.
- Transition into a permanent Data Analytics role with clear career progression opportunities.
- Requires an (Hons) degree in a relevant STEM field and the ability to obtain BPSS and SC clearance.
// Role Specification
About 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.
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.
Programme Structure
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.
Development and Support
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.
Post-Programme Opportunities
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.
Rewards and Benefits
- Minimum starting salary of £35,000 (dependent on location, role, and qualifications)
- A minimum of 25 days of holiday plus bank holidays
- Generous pension and employee share schemes
- Flexible benefits, including cycle to work scheme and discounts
- Wellbeing support, covering mental, physical, financial, and social wellbeing, with services like our Employee Assistance Programme, digital GP service, and health checks.
- Opportunities to get involved in STEM outreach activities and volunteering.
What 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.
- You must be able to achieve and maintain Baseline Personnel Security Standard (BPSS) and Security Check (SC) clearance.
Location
Places on our Data Analytics programme for September 2027 are available in Rosyth, Scotland. Our 320-acre Rosyth facility is home to one of the largest and most modern waterside advanced manufacturing and repair facilities in the UK. Specialising in the design, build and through-life support of complex naval and commercial marine assets.
Agile working is offered, but you can expect to spend several days a week on-site. By your start date, you must be able to reliably commute to the site. This will normally require living within a reasonable commuting distance of Rosyth or relocating before you join us.