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User Researcher

Ministry of Housing, Communities and Local Government

Department
Ministry of Housing, Communities and Local Government
Location
Manchester, Leeds, Bristol, Wolverhampton, Darlington
Openings
1 post
Grade
SEO
Salary
£45,773
Closing
14 days left
Profession
DDaT
Contract
Permanent
Security clearance
BPSS
Working pattern
Flexible working, Full-time, Job share, Part-time
Apply on Civil Service Jobs

Job summary

We are MHCLG

Here at the Ministry of Housing, Communities & Local Government (MHCLG), we work on things that make a real difference to people’s lives. Whether it's through the homes we live in, the work of our local councils, or the communities we’re all part of, our work is at the top of the political agenda.

Local AI is a new team within MHCLG, working with councils to unlock the potential of artificial intelligence (AI) in local public services. We support the responsible adoption of AI across local government, focusing on practical tools that save time, reduce costs, and improve services for residents.

Local AI’s goal is not simply to introduce new technology. We work with councils and partners to solve real service challenges where AI can make the biggest difference.

Our work spans product development, service transformation, capability building and shaping the wider adoption of AI across local government. Recent examples include Local Transcribe our work supporting councils to responsibly adopt AI, and looking at how AI can play a role in temporary accommodation.

Joining Local AI offers a rare opportunity to help shape how one of the most significant changes of our time is applied in public services. You will work alongside experts from local and central government, academia and industry to test new ideas, deliver practical solutions and help improve outcomes for millions of people who rely on local services every day.

As a User Researcher, you will work directly with councils and frontline practitioners to understand complex service challenges and uncover opportunities for AI to improve public services. You will generate actionable insights that shape product strategy, inform delivery decisions, and help multidisciplinary teams discover, develop and scale products such as Local Transcribe.

Find out more about our Digital teams and what they are working on through our MHCLG Digital blog. Please note that MHCLG do not offer visa sponsorship and applicants will need a valid visa for the duration of your employment.

What they’re looking for

  • As a User Researcher you’ll have:
  • Experience planning and delivering user research for digital products or services.
  • Confidence using a range of qualitative and quantitative research methods.
  • Strong analytical skills, with the ability to turn research into clear, actionable insights.
  • Good understanding of user-centred design and Agile ways of working.
  • Knowledge of accessibility, inclusive research, and assisted digital needs.
  • Experience creating research outputs such as personas, journey maps, and research reports.
  • Experience working with academics, local government, external researchers and communities
  • Excellent communication and collaboration skills, with the ability to work effectively across multidisciplinary teams.

Job description

As a User Researcher, you’ll:

  • Plan and carry out user research across AI products and discovery work to understand the needs of councils, practitioners and residents.
  • Provide clear, evidence-based insights to shape product design, service improvements, and delivery decisions.
  • Run a range of research activities, including interviews, usability testing, contextual research, and surveys.
  • Analyse findings and present them through reports, personas, journey maps and practical recommendations.
  • Work closely with product managers, designers, developers, policy colleagues and data specialists and key local government counterparts to keep user needs at the centre of delivery.
  • Identify potential risks, harms and accessibility needs early, particularly when developing AI products.
  • Identify areas of opportunity and good practice to inform the ongoing development of Responsible AI and data governance
  • Help improve research practices by upholding the Service Standard and contributing to the UCD community of practice at MHCLG, sharing knowledge, supporting colleagues, and contributing to continuous improvement.

Nationality requirements

This job is broadly open to the following groups:

  • UK nationals
  • nationals of the Republic of Ireland
  • nationals of Commonwealth countries who have the right to work in the UK
  • nationals of the EU, Switzerland, Norway, Iceland or Liechtenstein and family members of those nationalities with settled or pre-settled status under the European Union Settlement Scheme (EUSS) (opens in a new window)
  • nationals of the EU, Switzerland, Norway, Iceland or Liechtenstein and family members of those nationalities who have made a valid application for settled or pre-settled status under the European Union Settlement Scheme (EUSS)
  • individuals with limited leave to remain or indefinite leave to remain who were eligible to apply for EUSS on or before 31 December 2020
  • Turkish nationals, and certain family members of Turkish nationals, who have accrued the right to work in the Civil Service

Further information on nationality requirements (opens in a new window)

Selection process

Application and Selection

The application process will be split into 2 stages, testing the following Success Profiles:

Behaviours , Experience , Technical

Please ensure your CV does not contain any personally identifiable information.

Note: We do not consider direct CV applications. All applications must be submitted via the provided application link.

Stage 1: Sift (CV)

Experience: Your CV will be assessed against the criteria in the job description and person specification.

Most of our campaigns utilise multiple assessors and so it is possible that each of your answers would be viewed by different assessors.

In the event that we receive a large number of applications, we may conduct an initial sift using the lead sift question listed in the advert. Candidates who pass the initial sift may be progressed to a full sift, or progressed straight to interview.

Lead sift question (Technical): Describe a time you identified a user need and used evidence to help shape a product, service or policy. What was the outcome?

Stage 2: Interview

  • Behaviours: Communicating and Influencing, Making effective decisions, Working together.
  • Experience: Experience questions will be based around the essential skills and criteria as listed in the job description.
  • Technical: Technical questions will be based around the essential skills and criteria as listed in the job description.

Sift and Interview Dates

Sifting is envisaged to take place the week commencing 28th September 2026

Interviews are currently being held remotely via videocall. This could be subject to change.

How We Recruit

Find out everything you need to know before applying here..

  • Applying
  • Sifting
  • Interview
  • Interview Results & Feedback
  • Reserve List
  • Near Miss
  • Civil Service Grades
  • We are a DCS, RIS & GPTWV employer
  • Reasonable Adjustments

Human

How to Apply

What you need to know before applying.

You must review the following information from the MHCLG Career's Site before submitting your application. This step is essential to ensure your eligibility for the role and that your application is completed correctly.

  • Security Clearance Requirements
  • Civil Service Nationality Requirements
  • Right to Work
  • Artificial Intelligence
  • Civil Service Code and Recruitment Principles
  • CV Declaration
  • Sponsorships
  • Salary and Grade
  • Existing Civil Servants
  • Conflict of Interest
  • Location and Flexible Working
  • Fixed Term Contracts
  • Internal Fraud Database - Internal Fraud Register
  • Appeals and Complaints
  • Conflict of Interest

Security Clearance Requirements

National Office: BPSS

Feedback will only be provided if you attend an interview or assessment.

Practise before you apply

Civil Service panels score every answer against the Success Profiles behaviours at SEO level. Practise STAR answers and get them marked against the same framework.

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