Data Scientists X 4

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.

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.

Person specification

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.

Qualifications

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

Behaviours

We'll assess you against these behaviours during the selection process:

• Communicating and Influencing
• Delivering at Pace
• Working Together

We only ask for evidence of these behaviours on your application form:

• Working Together

Technical skills

We'll assess you against these technical skills during the selection process:

• A degree in a discipline with numerical or statistical elements; OR equivalent experience
• A demonstrable portfolio of data science & machine learning
• With peer support, you can apply emerging theory to practical situations
• Able to write efficient and readable analytics code in Python that normally requires minimal basic changes at review time
• Able to deliver analysis using AutoML or equivalent techniques
• Can demonstrate ability to perform any ONE of: Deep Neural Nets (CNNs, Vision Transformers, GANs), image processing, object detection, segmentation, 3D vision, OCR, Geolocation & multimodal AI OR
• Advanced NLP techniques (see candidate pack for full details)

Benefits

Alongside your salary of £42,500, HM Land Registry contributes £12,312 towards you being a member of the Civil Service Defined Benefit Pension scheme. Find out what benefits a Civil Service Pension provides (opens in a new window).

https://www.gov.uk/government/organisations/land-registry/about/recruitment#what-hm-land-registry-can-offer-you

At HM Land Registry our vision is a world leading property market as part of a thriving economy and a sustainable future. We are unique in terms of the economic and social impacts of our work, our ability to make a positive difference to the lives of our customers, our sense of mission, and our great people. They are the foundation of all we have achieved and all we aspire to in the future. We want our people to feel proud to work for HM Land Registry and able to fulfil their full potential.

We have a strong and positive culture, a commitment to inclusivity, an emphasis on continuous learning and development, and flexible ways of working. We offer competitive pay and annual leave, attractive pension options and a wide range of other benefits.

• We have integrity – we value honesty, trust and doing the right thing in the right way.
• We drive innovation – we are forward-thinking, embrace change and are continually improving our processes.
• We are professional – we value and grow our knowledge and professional expertise.
• We give assurance – we guarantee our services and provide confidence to the property market.

The HMLR Way – Our Shared Commitment

What you can expect from HMLR

• Inclusive & Empowering: A positive, healthy environment where everyone feels valued and empowered to contribute
• High Performance: Access to tools, resources, and development opportunities within a supportive culture
• Value & Recognition: We value team and individual improvement, learning from setbacks as much as celebrating success
• Clarity & Transparency: Clear communication of our vision and priorities, so our direction and decisions are evident

You can find more information on our rewards package on our website.

Working for HM Land Registry
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Things you need to know

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 (opens in a new window) for more information on appropriate and inappropriate use.

Selection process details

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