22869 - BOLD Prevention Data Analyst, Justice Digital, Data and Science, Ministry of Justice

BOLD Prevention Data Analyst

Location: National*

Closing Date: Thursday 15th October 2026

Interviews: Interviews likely to take place from 10th November 2026 (dates are subject to change)

Grade: SEO

(MoJ candidates who are on a specialist grade, will be able to retain this grade on lateral transfer)

Salary**: The national salary range is £42,914 - £46,182 plus potentially a £1,500 analyst allowance; London salary range is £49,325 - £53,081 plus potentially a £500 analyst allowance. Your salary will be dependent on your base location.

Working pattern: Full-time, Part-time, Flexible Working, Job Share

Contract Type: Permanent

Number of vacancies: 1

*We offer a hybrid working model, allowing for a balance between remote work and time spent in your local office. Office locations can be found ON THIS MAP

Please note that unless you are an existing member of staff at Justice Digital, Data and Science, the only London location being recruited to is 10 South Colonnade, E14 4PU. We are no longer recruiting to 102 Petty France, SW1H 9AJ.

The Role

Please note this role requires you to pass Security Check clearance. Please click on the link for details.

We’re recruiting for a SEO BOLD Prevention Data Analyst here at Justice Digital, Data and Science to be part of our warm and collaborative BOLD Prevention team.

This role sits within Justice Data, where multidisciplinary teams work across the data lifecycle to turn complex data into better decisions, tools and services.

We bring together expertise in data management, engineering, access and sharing, data linking, data science and AI, analysis and service management. Working with partners across the department, the Criminal Justice System and wider government, we strengthen data foundations, connect data across organisational boundaries and make it easier to use data securely and effectively.

By combining strong data foundations and governance with engineering, insight and AI, Justice Data supports better decision-making, frontline delivery and long-term transformation of the justice system.

Your role will sit within the Cross-Government and Academia division in the department’s Data Directorate and is part of the BOLD partnership. Our division is focused on using data to improve services and outcomes for people with complex needs and/or vulnerable cohorts. BOLD (Better Outcomes through Linked Data) is a cross-government partnership that helps improve services and outcomes for people with complex needs—such as those facing homelessness, poverty, mental health challenges, offending behaviour or substance misuse.

Public services collect a large amount of data which is used to improve the quality of services offered to the public, but it is often not shared between organisations. BOLD brings this data together so that decision-makers and frontline workers can better understand the entire picture of what people are experiencing, who they are, what works and subsequently support both strategic and operational decision-making. So far, BOLD has worked with 16 organisations, created 22 linked datasets, and delivered 31 projects. It’s helped improve services for victims of crime, people on probation, and others who need support.

BOLD does more than just link data. It also offers advanced tools and expertise in data analysis, such as large language models (like AI tools that can understand and generate text), or frontline tools containing live data to support caseworkers.

The programme is growing with new pilots focused on health, youth justice, and prevention. If you join BOLD, you’ll be part of a team that will work across government in making public services more connected, more effective, and more focused on helping people.

This role sits within the newly established BOLD Prevention workstream, which supports cross-government efforts to improve outcomes for individuals with multiple and complex needs. BOLD Prevention focuses on improving linked data and analysis to improve our understanding of socioeconomic needs and outcomes in society.

This is an exciting post with emphasis on cross-government collaboration. The postholder will bring together data held across the Ministry of Justice, His Majesty’s Prison and Probation Service, HM Revenue & Customs, the Department for Education, Department for Work and Pensions and wider partners to support the identification of people experiencing multiple needs. They will be pivotal in supporting the BOLD discovery work, leading cross-government data sharing arrangements, driving data quality, ensuring ethical and responsible use of data and delivering high-quality analysis.

You’ll receive a range of excellent benefits when you join our department, including:

• A generous employer pension contribution of 28.97% through the Civil Service Pension Scheme.
• 25 days of annual leave, (increasing to 30 days once you have reached 5 years of service), plus 8 bank holidays and a privilege day for the King’s birthday.
• Flexible working arrangements including hybrid working, working part time or compressed hours. Designed to support a positive work–life balance.
• Employees are allocated 10% of their working time for personal and professional development.
• A £1k per person learning budget is in place to support all our people, with access to best-in-class conferences and seminars, accreditation with professional bodies, fully funded vocational programmes and e-learning platforms.
• Compassionate maternity, adoption, and shared parental leave policies, with up to 26 weeks leave at full pay, 13 weeks with partial pay, and 13 weeks further leave. And maternity support/paternity leave at full pay for 2 weeks, too!

You can find more details of the Benefits we offer here. To help picture your life at MoJ Justice Digital, Data and Science please take a look at our blog.

Key Responsibilities:

The core responsibilities are:

• Conduct data analysis on large government datasets - This includes developing and apply analytical methods to explore socioeconomic needs and outcomes, ensuring outputs meets users’ needs, is high quality and delivered in a timely manner.
• Develop expertise in data held across government on socioeconomic needs, outcomes and critical warning signs. This includes contributing to the development of data quality assessment and understanding the potential of data produced by government and beyond.
• Work collaboratively with stakeholders and colleagues across department and professions, such as operational, policy, analysts and data professionals to identify use cases and data requirements, to agree data shares and working in partnership to meet common goals.
• Project management of proof-of-concept products and data linking projects.

If this feels like an exciting challenge, something you are enthusiastic about, and want to join our team please read on and apply!

Person Specification

Essential

• Data and quantitative analysis: experience of manipulating large complex datasets across government, applying complex analytical techniques to generate insights and visualisations.
• Experience in using tools, such as R or Python, to analyse large complex datasets
• Experience of analysing Criminal Justice System datasets
• Experience of managing analytical projects: from scoping and planning through to delivery, stakeholder coordination and ensuring quality and timeliness.
• Ability to communicate findings clearly to technical and non-technical audiences.
• Experience of creating dashboards and or data driven tools to support policy or operational decision-making
• An understanding of data sharing, ethics, and quality assurance.

Willingness to be assessed against the requirements for SC clearance

We welcome the unique contribution diverse applicants bring and do not discriminate based on culture, ethnicity, race, nationality or national origin, age, sex, gender identity or expression, religion or belief, disability status, sexual orientation, educational or social background or any other factor.

Our values are Purpose, Humanity Openness and Together. Find out more here about how we celebrate diversity and an inclusive culture in our workplace.

The Civil Service is committed to attract, retain and invest in talent wherever it is found. To learn more please see the Civil Service People Plan and the Civil Service D&I Strategy.

Salary Information**

Base salary for this role is from London: £49,325 - £53,081; National: 42,914 - £46,182

• Existing Civil Servants moving on a level transfer will retain their current base salary or move to the minimum of the pay band for the role, whichever is higher.
• Existing Civil Servants who are promoted will either move to the bottom of the new grade’s pay band or receive a 10% uplift, whichever provides the greater increase.
• Candidates may also be eligible for a non‑pensionable Government Digital & Data Allowance of up to £1,500 per year (National) or £500 (London). This is a temporary allowance, reviewed annually and may be retained, amended, or withdrawn.

The final offer will reflect the skills and experience you demonstrate during the assessment process.

How to Apply

In Justice Digital, Data and Science, we recruit using Success Profiles Frameworks. We shall assess a combination of your Experience, Technical skills and Behaviours during the assessment process.

Stage 1 - Application and sift:

To apply for this position, you must submit the following as part of your application:

• A CV detailing your career history (including any relevant qualifications). Your CV will be assessed against the essential criteria outlined within the Person Specification of this advert.
• A Personal Statement (no more than 750 words) which should outline your experience and skills, giving clear examples of work undertaken. It should specifically address the following 3 criteria listed below, using a separate paragraph for each.
• Experience of data and quantitative analysis applied to Criminal Justice System datasets
• Managing analytical projects
• An understanding of data sharing, ethics, and quality assurance

A diverse sift panel will review the information in your CV and Personal Statement to assess the sift criteria specified above. We operate an anonymous shortlisting process. Please ensure your CV and Personal Statement do not include your name or any other identifying details.

Should we receive a high volume of applications, a pre-sift based on Experience of data and quantitative analysis will be conducted before the sift.

Please access the following link for guidance on how to apply - Application Guidance

Stage 2 - Interviews:

Successful candidates who meet the required standard will then be invited to a panel interview held via Microsoft Teams. At interview stage, you will be assessed against the following Success Profile elements - Experience, Technical and the following Behaviours:

• Making Effective Decisions
• Changing & Improving
• Working Together

As part of your interview, there will be a technical assessment that tests your technical capability, covering the skills mentioned in the criteria above. Further details will be provided if successful at sift.

Appointments are made strictly in merit order. In the event that two or more candidates receive identical interview scores, the lead behaviour (Making Effective Decisions) will be applied as the primary lead criterion to determine the final merit order.

Should you be unsuccessful in the role that you have applied for but demonstrate the capability for a role at a lower level, we reserve the right to discuss this opportunity with you and offer you the position without needing a further application.

A reserve list may be held for up to 12 months, from which further appointments may be made.

Use of Artificial Intelligence

Artificial Intelligence can be a useful tool to support your application, however, all examples and statements provided must be truthful, factually accurate and taken directly from your own experience. Where plagiarism has been identified (presenting the ideas and experiences of others, or generated by artificial intelligence, as your own) applications may be withdrawn and internal candidates may be subject to disciplinary action. Please see our candidate guidance for more information on appropriate and inappropriate use.

Terms & Conditions

Please review our Terms and Conditions which set out how we recruit and provide further information related to the role and salary arrangements.

If you have any questions, please feel free to contact [email protected]