BOLD Analysts - Justice Digital, Data and Science, Ministry of JusticeMinistry of Justice

21077

Descriptions & requirements

Job description

SEO BOLD Analysts (3 posts)

Location: National*

Interviews: Interviews likely to take place from 24th September 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**: London: £47,657 – £52,040 plus potentially a £500 analyst allowance; National: £41,463 – £45,276 plus potentially a £1,500 analyst allowance.

Working pattern:  Full-time, Part-time, Flexible working, Job share

Contract Type: Permanent

Number of vacancies: 3

*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

These roles require you to pass Security Check clearance. Please click on the link for details.

We’re recruiting for up to 3 SEO BOLD Data Analysts here at Justice Digital, Data and Science to be part of our warm and collaborative Cross-Government Data Division within Justice Data.

This role aligns against SEO (working/practitioner) level, to either:

the Government Digital and Data (DDaT) Data Analyst Capability Framework, or

one of the relevant Analysis Function professional frameworks (GSS, GORS, GES, GSR).

The Cross-Government Division addresses complex justice challenges that cut across organisational boundaries. Working with partners across government, academia, and delivery systems, the division focuses on improving data access, building evidence and insight, and developing practical tools that support better decision-making, frontline delivery, and long-term system transformation.

The division administers the BOLD (Better Outcomes through Linked Data) Partnership which is a cross public sector partnership focussed on improving outcomes for society, particularly for vulnerable individuals and those with complex needs —such as those facing homelessness, poverty, health challenges, offending behaviour or substance misuse.

The division has three new priority areas it is focusing on: youth justice, health, and prevention working collaboratively with partners within the BOLD partnership. There is a strong culture of sharing best practice, developing cutting-edge capability, and celebrating achievements.

Health (up to 3 posts)

Mental Health Cohorts (1 Post)

This role involves bringing together and analysing national datasets with mental health and justice data. You will work closely with others within the team, across Justice Data and other government departments to identify use cases, assess the feasibility of future projects, explore innovative analytical solutions, and deliver analytical products. You will support the acquisition, linking and analysis of multiple data sources from across MOJ, DHSC/NHS England and other sources to understand the mental health needs of individuals in the criminal justice systems, the support and treatment they received, its effectiveness, and the health and justice outcomes that results. Work in year 1 is likely to focus on analysis of Welsh SAIL dataset and local level English datasets to understand mental health needs, diagnosis and prevenance among probation cohorts; mapping and assessing health and justice datasets on mental health; mapping mental health data in criminal justice system and working through data sharing processes to obtain access to DHSC/NHS datasets on mental health.

Health Operational Data (1 posts)

This role involves bringing together linked data and creating front line operational tools to maximise value of this linked data. You will work closely with others within the team, across Justice Data and other government departments to identify use cases, assess the feasibility of future projects, explore innovative analytical solutions, and deliver front line products. You will support the acquisition, linking and analysis of multiple data sources from across MOJ, DHSC/NHS England and other sources to understand the health needs of individuals in the criminal justice systems. You will work with linked data to develop tools allowing streamlined, ethical access to data for front line practitioners in justice and health including developing dashboards and other visualisation tools. The work in Year 1 will be focused on the development of a local level pilot to share health and probation data to improve health outcomes and reduce re-offending associated with health including developing working tools for frontline use of data for operational purposes. And the development of a dashboard for the monitoring of 28-day transfers between prison and NHS secured premises under the Mental Health Act 2025 using HMPPS and NHS England data.

Youth Justice (up to 1 Post)

Youth justice is an increasing area of focus, with growing recognition that acting earlier can help us to be more effective in preventing offending, reducing harm and improving outcomes for children, young people, families and communities. This role will support a developing youth justice work programme across three connected workstreams: data for ministerial and strategic decision making, data sharing for operational decision making, and preventative analytics.

You will work closely with colleagues across BOLD, Justice Data, policy, operational teams and wider government partners to develop and use high-quality linked data and analysis to inform decisions at different levels of the system. This may include producing timely evidence and insight for ministers and senior leaders, supporting data sharing approaches that help frontline and operational decision makers better understand children and young people’s needs, and investigating robust, ethical approaches to preventative analytics. You will help assess feasibility, understand data quality and limitations, develop analytical products such as modelling, dashboards, and visualisations, and ensure outputs are practical, ethical and focused on user needs.

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:

Conduct data analysis on large government datasets - This includes identifying relevant data, assessing data quality, developing and applying analytical methods and reporting to ensuring outputs meets users’ needs, are high quality and delivered in a timely manner. Outputs may include analytical insight (e.g. statistical analysis, modelling) and/or data products (e.g. dashboards, tools for operational use).

Develop expertise in data held across government on criminal justice and your workstream. This includes understanding data sources, quality, availability, limitations and gaps, and applying this knowledge to inform analytical approaches and/or new operational tools identify opportunities for new uses of data across government and beyond.

Work collaboratively with stakeholders and colleagues across departments and professions and with external partners, such as operational, policy, analysts and data professionals to identify use cases and data requirements, to agree data shares, bring in new sources of data to enhance our analysis and working in partnership to meet common goals and maximise benefits of outputs.

Project management of proof-of-concept products and data linking projects including adapting to changing priorities, proactively addressing emerging issues and risks, and identifying solutions to ensure deliverables and stakeholder needs are met.

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 analysis and technical skills: Experience working with large, complex datasets, including quality assessment, manipulation and analysis to generate insights and visualisations for strategic, policy or operational use. Experience developing or delivering dashboards, tools or data products using multiple data sources. Experience using analytical tools and languages such as R or Python. Experience must include direct, hands‑on analytical delivery as oversight or management alone are unlikely to meet this criterion.

Delivery (Delivery at Pace): Experience managing analytical projects from scoping through to delivery, balancing competing priorities whilst maintaining quality and timelines.

Collaboration (Working Together): coordinating across stakeholders, builds effective cross‑team relationships and shares knowledge across organisational boundaries.

Using evidence to inform decisions (Making Effective Decisions): Ability to draw sound conclusions from data, providing clear, evidence‑based recommendations while considering limitations and uncertainty.

Communication (Communicating and Influencing): Ability to communicate complex analytical findings clearly to technical and non‑technical audiences, tailoring outputs and translating analysis into actionable insights.

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**

London: £47,657 – £52,040 plus potentially a £500 analyst allowance; National: £41,463 – £45,276 plus potentially a £1,500 analyst allowance.

New entrants to the Civil Service joining the MoJ are expected to start at the minimum of the pay band.

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 analyst of up to £500 per year (London) or £1,500 (National). 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 a combination of the Government Digital and Data Profession Capability, Government Analytical Profession frameworks and 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 5 criteria listed below as detailed in person specification above, using a separate paragraph for each.

Data analysis and technical skills

Delivery (Delivery at Pace)

Collaboration (Working Together)

Using evidence to inform decisions (Making Effective Decisions)

Communication (Communicating and Influencing)

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 only on experience of “data analysis and technical skills” as evidenced in the CV will be conducted. Following the pre-sift, a full sift will take place based on all the essential criteria in the person specification as evidenced in the CV and Statement of Suitability.

Please ensure your CV goes beyond job titles, civil service grades and timelines and clearly sets out the specific subject area and analytical activities you have undertaken and the outcomes delivered. Given that initial sift may be based on the CV, candidates should ensure that evidence of meeting the essential experience and technical criteria is clearly demonstrated. Please include examples of datasets used, analytical methods applied, tools and languages, and the insights or products generated. Focus on what you did and the impact your work had, rather than general descriptions of your role.

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

Stage 2 - Interviews:

If you pass the sift process, you'll be invited to a 60-minute interview. This will include a short technical exercise, followed by a panel interview with members of the hiring team.

At interview stage, you will be assessed against the following Success Profile elements:

Data analysis and technical skills demonstrating technical competence at SEO level

Delivery (Delivery at Pace)

Collaboration (Working Together)

Using evidence to inform decisions (Making Effective Decisions)

Communication (Communicating and Influencing):

Candidates will be expected to provide technical examples relevant to the expected technical focus of their preferred post at interview.

Please note this recruitment process will not meet the requirements for badging at the SEO grade within the analytical professions. Separate grading opportunities may be available to successful candidates.

Appointments are made strictly in merit order. In the event that two or more candidates receive identical interview scores, the technical skills 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]