Data Ethics and Literacy Hub Officer

Data Ethics and Literacy Hub Officer

Location: National*

Closing Date: 7 th September 2026

Interviews: Rolling – from 26 th August 2026 – 18 th September 2026

Grade: HEO

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

Salary**: National: £35,335 - £37,847

London: £40,014 - £42,859

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

Contract Type: Permanent

Number of vacancies: 10

Vacancy number: 21436

*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

We’re recruiting for Data Ethics and Literacy Hub Officers here at Justice Digital, Data and Science to be part of our warm and collaborative Data Ethics and Literacy Hub team.

There are several roles available, and the final allocation across the Data Ethics and Data Literacy teams will be 6 x Data Ethics Officers and 4 x Data Literacy Officers. All roles will sit within the Data Ethics and Literacy Hub, where our mission is to build trust and confidence in how the MoJ uses data and AI by strengthening data and AI literacy skills and embedding ethical principles into data and AI work across the organisation.

Data Ethics and Data Literacy Officers will play a key enabling role in supporting the delivery, coordination and continuous improvement of the Data Ethics and Literacy Hub.

Postholders will provide operational, coordination and engagement support across specific work areas, helping specialist leads and SMEs to focus on expert delivery, while strengthening organisational engagement, culture change and visibility across data ethics and data literacy. You will support our SEOs to deliver against specific objectives and workstreams.

This is a varied, collaborative and outward‑facing role suited to someone who enjoys working across multiple priorities, supporting delivery in a fast‑paced and collaborative environment, and contributing to culture change.

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:

• Supporting the implementation of governance or assurance processes linked to ethical and responsible use of data and AI via the MoJ AI and Data Science Ethics Framework.
• Working directly with project teams to provide practical data ethics support, such as coordinating assurance activity, ethics workshops, training sessions or learning resources.
• Inputting to our Data Ethics community and Champions Network and collating feedback, learning and insights to inform continuous improvement.
• Supporting community building initiatives across MoJ and government, including the Data Literacy Community of Practice and champions' network.
• Working with the Data Literacy Managers to contribute to the development and maintenance of learning resources, toolkits, and frameworks to support responsible data use.
• Supporting the management of commercial contracts for online learning platforms.
• Supporting engagement, community and communications activity across the Hub, helping to promote data ethics and data literacy initiatives to a wide range of audiences.
• Helping to build and sustain relationships with stakeholders across Justice Data, wider MoJ, arms-length bodies and cross government networks, contributing to a joined up and collaborative culture.
• Acting as an advocate for data ethics and data literacy, building capability and confidence across teams.
• Identifying opportunities to improve operational processes, workflows and ways of working, contributing to increased resilience, efficiency and delivery confidence across the Hub.

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

• A basic understanding of either data ethics and/or data literacy and a willingness to learn in one or both areas.
• Experience of taking ownership of tasks or work areas, using judgement to plan work, anticipate issues, resolve problems and escalate risks appropriately.
• A proactive and flexible approach, with the willingness to adapt priorities and support a wide range of activities to meet business needs.
• Experience of using feedback, survey data and performance metrics to measure impact and inform improvements.

Willingness to be assessed against the requirements for BPSS 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 £35,335 - £37,847 (National) or £40,014 - £42,859 (London)

• 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.

How to Apply

In Justice Digital, Data and Science, we recruit using a combination of the Success Profiles Framework. We shall assess a combination of your Experience 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 criteria listed below, using a separate paragraph for each.

• Experience of taking ownership of tasks or work areas, using judgement to plan work, anticipate issues, resolve problems and escalate risks appropriately.
• A proactive and flexible approach, with the willingness to adapt priorities and support a wide range of activities to meet business needs.

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 a basic understanding of either data ethics and/or data literacy and a willingness to learn in one or both areas 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 and the following Behaviours:

• Delivery at Pace
• Communicating and Influencing
• Working Together

Appointments are made strictly in merit order. In the event that two or more candidates receive identical interview scores, the Working Together behaviour 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.

Selection Process
This campaign will remain open until the stated closing date and will not close early. All applications received by the closing date will be reviewed and assessed. Candidates who meet the required standard at sift will be progressed to interview. Following completion of the full assessment process, appointments will be made strictly in merit order. Where applicable, the campaign may operate in defined tranches, with indicative timelines for sift and interview communicated to candidates during the process.

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]