CS Interview Coach

Data Scientists X 4

HM Land Registry

Department
HM Land Registry
Location
London, Coventry, Durham, Croydon, Gloucester
Openings
4 posts
Grade
HEO
Salary
£42,500 to £45,700
Closing
14 days left
Profession
Analysis and Statistics, DDaT, Other
Contract
Permanent
Security clearance
SC
Working pattern
Flexible working, Full-time, Part-time
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Job summary

Exciting opportunities have arisen for Data Scientists within the Data and Register Integrity Directorate. This includes the possibility of working directly on the Local Land Charges (LLC) Programme. As a skilled, enthusiastic, and motivated individual with strong Data Science skills, you will contribute to the development and deployment of machine‑learning and data‑science pipelines that extract and structure local authority data for migration onto HMLR’s digital register. Your work will involve improving and enhancing our Computer Vision and Natural Language Processing models, as well as deploying scalable solutions within an automated cloud environment. We are recruiting a cohort of 4 Data Scientists, who will be split across the Directorate and the LLC Programme.

What they’re looking for

  • We use the Government’s Analysis Function Capability Framework (which maps to the Government Digital and Data Profession Pay Framework) to measure skills and qualifications for this role.
  • You will be assessed against the criteria in the person specification outlined in the candidate pack.

Behaviours you’ll be assessed on

This advert says the panel will score you against these behaviours at HEO level. Each one links to worked examples.

Job description

In the role of a Data Scientist, you will:

  • Work in teams and collaborate with senior colleagues to complete tasks on Data Science projects
  • Work as a member of a team to understand where Data Science can add value with HMLR; Assemble data extraction and structuring pipelines, applying techniques from computer vision, natural language processing, and graph analysis
  • Perform data enrichment tasks
  • Contribute to the existing codebase to enhance functionality
  • Identify opportunities for modelling and analysis on newly gathered data and processes
  • Engage with stakeholders
  • Collaborate on the conceptualisation, development, and maintenance of Data Science solutions
  • Be open minded and demonstrate strong intellectual curiosity
  • Have an interdisciplinary interest and develop a familiarity with a wide variety of techniques to solve problems

Under HM Land Registry’s hybrid approach to working you will be expected to spend at least 60% of your working time in your contracted home office. You must live within a commutable distance of your chosen office.

For more information about the role and the full Person Specification, please see the attached Candidate Pack.

Qualifications

A degree in a discipline with numerical or statistical elements; OR equivalent experience

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

This vacancy is using Success Profiles (opens in a new window), and will assess your Behaviours, Experience and Technical skills.

To apply, you will need to complete the short application form and copy and paste an anonymous CV into the online application form when prompted and include your qualifications and career history.

Your CV will be assessed against the essential Experience criteria detailed in the attached Candidate Pack.

The Personal Statement section (in no more than 500 words) should be used to outline your wider skills and experience for the role and detail how you meet the essential Experience criteria listed in the attached Candidate Pack.

You will then be asked to complete a statement (in no more than 250 words) on the below Behaviour and criteria

  • Working Together - Tell us about a time when a colleague or peer needed support (knowledge and/or capacity) to meet a deadline.

In the event of a high volume of applications for this vacancy, an initial sift will be conducted on the Personal Statement and a full sift only carried out on those applications that pass the initial sift stage.

Please review your application form before clicking ‘submit’ – once you have submitted, you will not be able to amend your application. Ensure your application form is completed by 23:55pm on 14th September 2026.

Please note, the desirable criteria will only be assessed in the event of a tie between candidates.

The sift will take place once we have received your application and if successful at shortlisting stage, you will be invited to attend a face to face interview.

The face-to-face interviews will take place the week commencing 28th September 2026 up to the 9th of October 2026 in one of our offices.

The interview will assess the technical skills, essential experience and behaviours required for the role. You will also be required to complete a short exercise at the interview. Further details about the interview will be provided to those successful at sift.

We use the Government’s Analysis Function Capability Framework (which maps to the Government Digital and Data Profession Pay Framework) to measure skills and qualifications for this role.

Candidates may refer to notes within their interview, but they should be used as a prompt only.

The post will require a Security Check and will therefore be subject to further background checks, including meeting the UK minimum residency requirement of 5 years. Further details of the process and checks can be found here:

https://www.gov.uk/government/publications/united-kingdom-security-vetting-clearance-levels/nationa…

HMLR is accredited to the Disability Confidence Scheme, which denotes organisations which have a positive attitude towards disabled people. Disabled applicants who meet the minimum essential criteria at the shortlisting stage are guaranteed an invitation to interview.

If any candidate requires the panel to consider a reasonable adjustment or there is anything else, they would like the panel to take into consideration they are asked to notify us of this at application stage where possible or during the process as soon as it becomes a requirement.

You can find more information on how we use your personal data on our website.

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

Practise before you apply

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