Graduate
Closes in 14 days

Government Statistical Service Fast Stream
Civil ServiceWide
Expected closing date: Thursday, 5 November 2026
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TL;DR
Key Takeaways
- Undertake a 3.5-year development scheme as a Government Statistician, involving data analysis, statistical publication, and data science.
- Gain experience across various government departments, with opportunities for international postings and professional development.
- Entry requirements include a 2:1 degree in a numerate subject with statistical content or a higher degree.
- Upon successful completion, earn between £45,000 and £62,000 per year, with opportunities for rapid career progression.
- The scheme offers a structured learning and development curriculum, professional memberships, and competitive benefits including 25-30 days annual leave.
About the Role
Government Statistical Service Scheme
This is a 3.5-year scheme designed to develop future senior statistical leaders within the Government Statistical Service (GSS).
What You'll Do
Your roles will involve a combination of:
- Collection and analysis of data.
- Publication of statistics, including taking early responsibility for work strands to develop leadership and technical capability.
- Research into new data sources, methodologies, and techniques to improve statistical outputs.
- Identifying customer needs and ensuring research is fit for purpose.
- Working with policy teams to provide evidence-based analysis, demonstrating leadership and capability.
- Data science roles, finding new ways to extract value from data.
- Taking personal responsibility from your first post to fulfil your broader leadership potential in a statistics environment.
Scheme Placements
- Year 1: A year-long posting in a government department as a government statistician. You will apply statistical skills in real policy and public service contexts, contributing to official statistical publications, developing data sources, engaging with users, and supporting policymakers.
- Year 2: A new role in a different government department, offering greater challenges and opportunities to develop leadership capability. You may work on statistical publications, provide analytical support to policy teams, or support statistical standards.
- Year 3: You can choose between a 6-month complementary posting in a profession outside of statistics within the Civil Service, or a secondment to an organisation outside the Civil Service (e.g., private sector, charity) to gain experience in data or statistics.
- Final Posting (12 months): A role in a new government department where you will lead substantial analytical work with real-world policy impact, operating with the confidence and credibility of an analytical leader.
Entry Requirements
- Eligible to work in the UK.
- A first or second-class honours degree (2:1 minimum) in a numerate subject with taught statistical content (e.g., Statistics, Data Science, Mathematics, Economics, Sciences, Psychology, Geography).
- Alternatively, a higher degree (MSc or PhD) in a subject with formal statistical training.
Benefits
- Work on issues that make a difference to citizens.
- Develop highly valued and transferable skills.
- Membership of the Government Statistician Group and corporate membership of the Royal Statistical Society.
- Access to a structured analytical learning and development curriculum.
- Possible opportunity for international posting.
- Gain valuable experience across a range of government departments.
- Networking opportunities.
- Up to £1000 bursary available in year three and/or four for relevant learning and development.
- Upon successful completion and promotion, earn between £45,000 and £62,000 per year.
- Opportunities for long-term career progression to senior leadership roles.
- Highly competitive pension.
- 25 days of annual leave, rising to 30, plus 10 days of national holidays and privilege days.
Learning and Development
- Formal learning includes leadership and management training, a structured analytical learning and development curriculum, and training in coding/computing techniques (e.g., Python and R).
- Informal development opportunities through community-led and cohort events.