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Data Scientist

Ministry of Housing, Communities and Local Government

Department
Ministry of Housing, Communities and Local Government
Location
London, Manchester, Bristol, Wolverhampton, Darlington
Openings
2 posts
Grade
SEO
Salary
£44,004 to £47,444
Closing
13 days left
Profession
DDaT
Contract
Fixed term
Security clearance
SC
Working pattern
Flexible working, Full-time, Job share, Part-time
Apply on Civil Service Jobs

Job summary

We are MHCLG

We are looking for two Senior Data Scientists to help transform how the Resilience and Recovery Directorate (RED) uses data, digital services, automation and AI during emergencies that affect communities across England.

When crises happen, decision makers need information they can act on quickly and trust. The directorate works at the core of government’s resilience system, supporting preparation for and response to incidents such as severe weather, flooding, infrastructure disruption, public health threats and other major emergencies. This role is about building the technical foundations that help information move quickly from those closest to an incident to the people who need to act on it.

You will join the new Transformation Unit, a multi-disciplinary team focused on building practical systems, tools and workflows that help colleagues, local partners and other government organisations access, share and use information more effectively. The team's role is not to act as a central analysis function, but to create reusable products and AI-enabled workflows that reduce manual effort, improve situational awareness and make better use of data across the resilience system.

You will work on data science, AI and automation projects that turn promising ideas into reuseable tools and workflows. This could include helping to structure information from local partners, improve reporting flows, support cross-government data sharing, evaluate AI-enabled workflows, or enable users to understand fast-moving situations more quickly.

If you want to use data science and AI to make a real difference during events of national importance, this role offers the opportunity to do just that while developing your technical skills in a supportive, multi-disciplinary team.

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 Senior Data Scientist, you'll have:
  • Experience using structured and unstructured data with data science, machine learning and large language models to build practical tools, workflows or prototypes
  • The ability to identify where data science, AI or automation could reduce manual effort, improve information quality or help people use data more effectively, and to explore these opportunities with technical colleagues
  • Curiosity about developments in data science, AI and information-ingestion approaches, and the judgement to identify which emerging tools or techniques are worth testing in a practical delivery context
  • Experience writing clear and maintainable Python code, using version control such as Git, and contributing to shared codebases through pull requests, review and feedback
  • Evidence of working in an Agile or iterative way, including testing ideas early, learning from users and improving products or workflows over time
  • Experience using cloud services such as AWS, Google Cloud Platform or Azure to support data storage, computing or machine learning
  • Ability to play your part in emergency response when needed and contribute to RED's 24/7 monitoring for emergencies. Training will be provided and additional compensation is available for any evening or weekend working required

Job description

As a Senior Data Scientist, you'll:

  • Contribute to the development of data science and AI approaches that help users find, structure, summarise, check or share information more effectively
  • Work with colleagues and partners to understand current processes, information flows and user needs
  • Build and iterate prototypes, workflows and tools that use data science, large language models, machine learning and automation safely and effectively, working closely with the Senior AI Engineer and wider team
  • Experiment with different approaches to ingesting, structuring and reusing information from text, documents, returns and other sources, balancing quality, speed, scalability and cost-effectiveness
  • Work with software development, machine learning engineering, delivery and service design colleagues to help move successful prototypes towards services that can be scaled, maintained and improved over time
  • Apply good development practices, including clear code, version control, documentation and appropriate monitoring of AI-enabled workflows
  • Evaluate AI systems and workflows proportionately, using testing, error analysis, user feedback and monitoring to understand performance, risks, limitations and real-world impact
  • Support responsible use of AI by considering privacy, bias, the limits of what these systems can reliably do, and where human oversight is needed
  • Explain technical options, evidence, risks and trade-offs clearly to both digital and non-digital colleagues

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

Stage 2: Technical Test

Technical: Candidates who pass the sifting round will be asked to complete and submit a technical test. Those who are successful at this stage will then be invited to interview.

Stage 2: Interview

  • Behaviours: Changing and Improving, Delivering at a Pace
  • 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 14th September 2026.

Interviews are envisaged to take place shortly after are currently being held remotely via videocall. This could be subject to change.

Group 1 Digital & Data Roles

MHCLG has implemented the Digital and Data capability framework for Group 1 roles. Applicants that are successful and have been offered a position will be required to complete a capability assessment after the interview.

MHCLG will honour completed capability assessments for this role from other Government Departments for existing civil servants on level transfer only. Please provide a copy of your capability assessment to the Hiring Manager when applying. If you have any queries on pay, please contact the Hiring Manager.

Each experience or technical skill is assessed between 1-3, representing working towards, at or above the job level requirements. You are awarded a proficiency level accordingly, and you will be given opportunity to annually re assess your capability and potentially increase your overall remuneration, through payment of allowances, depending on level of assessed capability.

Candidates moving from another government department have the option to retain their current basic pay if this is within our pay band for the relevant grade.

Senior Executive Officer Group 1 Digital and Data salary

  • The basic pay for this role will be between £47,444 - £53,575 (London), £44,004 - £50,086 (National). Candidates will usually be recruited to the median of the payscale.
  • A digital allowance may also be payable depending on the level of assessed capability, in order to meet the MHCLG overall targeted remuneration rate for the specific grade, location and capability rating.
  • For applicants in receipt of existing allowances, we will assess each case individually, but we would seek not to exceed the MHCLG overall targeted remuneration rate for the specific grade, location and capability rating for existing civil servants, the usual policy on level transfer and promotion will apply, subject to the statements above.

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.

  • 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 + SC

London Office: BPSS + SC

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

Practise before you apply

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