Lead Data Scientist

Job Description

It is a very exciting time to join HM Land Registry (HMLR) as we accelerate our major digital transformation programme. Our existing software systems form part of the critical national infrastructure, safeguarding land and property ownership valued at £7 trillion, enabling over £1 trillion worth of personal and commercial lending to be secured against property across England and Wales.

We are currently consolidating our Data Science activity into a formal Practice. By joining us, you will become a founding member of our Data Science Practice, part of our award-winning Digital, Data and Technology Directorate which is at the heart of the move to a digital, data-driven organisation. Our ambitions are to provide our users with cutting-edge digital services and data products.

You will help enable this ambition by providing thought leadership to develop our Practice, and the practical skills, expertise and experience in Data Science to help us apply new tools, technologies and methodologies for Machine Learning and data exploration.

Job description

What will our Data Scientists be doing?

You will help build our specialist capability to extract insight from a wide variety of datasets and enhance our ability to innovate, in response to user needs, as we develop data driven services and value-added data products.

You will have opportunities to work on a diverse range of programmes and projects across our Transformation Portfolio. You will use your leadership experience to build specialist technical teams, and your curiosity, technical ability and problem solving skillsets to support and enable our Delivery teams, and other Subject Matter Experts, to solve problems across the organisation using tools, techniques and approaches from Data Science.

As a member of the Data Science Practice you might be involved in hyper automation of our existing systems using Deep Learning techniques to identify and extract information from digital imagery; enhancing and developing our Registers by interrogating and mining our free text data stores using Natural Language Processing; improving user journeys though our services by building recommender systems; developing intelligent tools to identify and counter fraudulent Property transactions; helping to understand our customers; or increasing value for our users, and the wider market sector, by conceptualising and building innovative new data services, products and tools.

We provide opportunities to collaborate across Government, industry and academia to boost our Research, Development and Innovation work. We actively encourage exploration into new opportunities, approaches and tools that will bring measurable benefit and value to our organisation. We also embrace Continuous Professional Development and knowledge sharing, satisfying your desire to learn and stay at the cutting edge, whilst building the capability of our teams to deliver value.

For more information about the roles, and the competencies and capabilities required, please see the attached Job Descriptions.

We use the Government Analysis Function Career Framework (which maps to the DDaT Capability Framework) and corresponding skill levels to assess candidate suitability for positions.

If you can demonstrate expert level skills, knowledge, practical experience and leadership in one or more of the functional Data Science domains and subject specialisms we’re recruiting into, we’d welcome your application for one of our position as Lead Data Scientist.

Due to Covid-19, the role will initially be home based so an induction and training will be carried out remotely, with full support from the team. We will provide you with a suitable computing equipment to enable you to work remotely.

We actively welcome and encourage remote collaboration. Whilst, our Practice’s home office is located in the vibrant waterfront city of Plymouth, we’d welcome members of our Practice to be based at any HMLR office. Once safe to do so, we anticipate return to a combination of mixed office and remote working. It’s likely that co-location of the team for at least 1 – 2 days per month in Plymouth will be required for effective in-person collaboration. Some national travel may be required as part of these roles.

Responsibilities

What skills/experience are we looking for:

Lead Data Scientists will provide specialist leadership to develop the functional areas within our Practice:

• Information extraction from unstructured sources
• Knowledge base construction and insight mining
• Data Science product innovation & development

Lead Data Scientists will also bring expert level practical Data Science skills, technical knowledge, and collaborative ways of working to the Practice in order to help support the delivery of analytical Data Science projects and solutions across HMLR.

If you have strong Data Science leadership experience coupled with expert practical skills and technical abilities in one (or more) of the following subject specialisms, we’d welcome an application from you:

  • Text/NLP,
  • Geospatial,
  • Computer Vision/Digital Imagery,
  • Knowledge graph construction, mining and inference,
  • Data visualisation and interactive exploration.

About the Data Science Practice:

The HMLR Data Science Practice is the home of Subject Matter Experts who support and consult across the organisation to ensure successful conceptualisation, integration and delivery of Data Science solutions. The Practice delivers a range of services, focusing on complex analytical problems requiring application of tools and techniques from the Data Science toolkit. In the last two years Data Science at HMLR has largely focused on extraction of data from un-structured sources to support our Digital and Data Programmes. We have an exciting pipeline of high impact initiatives. These including Natural Language Processing and Machine Learning to drive hyper-automation; knowledge base construction and mining to derive novel insights from HMLR data; and application of advanced visualisation to enable understanding, interoperability and utility of HMLR datasets. Members of the Practice collaborate across the organisation and work closely with experts in other DDaT Practices, and the wider Analytical Community, to help develop, deploy and utilise Data Science solutions across the business.

For more information about what its like to work here please see the following links:

Behaviours

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

  • Seeing the Big Picture
  • Leadership
  • Communicating and Influencing

Benefits

HM Land Registry offers very competitive terms, conditions and benefits. We provide excellent opportunities for career progression, training and development. You will have access to Civil Service pension and benefits arrangements and generous leave allowances, as well as flexible working – exactly what you would expect from a progressive employer.

HM Land Registry is a great place to work, where difference is celebrated. We’re committed to fairness and equality for all, so you feel valued for who you are and what you do. Diversity fuels our innovation. Our shared values help us work together, to benefit the communities we serve.

Our employee diversity networks support our culture of inclusion and contribute to our diversity action plan. Our current focus is to encourage people from under-represented groups into management and leadership roles, especially people with disabilities, women and ethnic minority colleagues.

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

Things you need to know

Security

Successful candidates must pass a disclosure and barring security check.
People working with government assets must complete basic personnel security standard checks.

Selection process details

This vacancy is using Success Profiles, and will assess your Behaviours, Strengths and Experience.
Please attach an anonymous CV when prompted. Include your qualifications, career history, practical skills and experience. You must clearly evidence your skills and experience in one (or more) of the following areas: Text/NLP, Geospatial, Computer Vision/Digital Imagery, Knowledge Graphs or interactive visualisation.

You must also provide a short statement of suitability (no more than 500 words) clearly indicating why you think you are suitable for the role, how you fulfil the role requirements. and which functional area(s) your specialist skills, experience and interests best align with:

  • Information Extraction
  • Knowledge Base Construction & Mining
  • Data Science Product Innovation

The sift will take place week shortly after the closing date. The final selection stage will consist of a blended interview and pre-prepared presentation which will be conducted as a video interview week commencing Monday 15 February 2021.

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 received by the closing date for receipt of applications – this is 11:55pm on the advertised date.

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.

If you would like further information about the use of your personal data, please click on the link below:

Job Applicant Personal Information

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

Nationality requirements

This job is broadly open to the following groups:

  • UK nationals
  • nationals of Commonwealth countries who have the right to work in the UKs
  • nationals of the Republic of Ireland
  • nationals from the EU, EEA or Switzerland with (or eligible for) status under the European Union Settlement Scheme (EUSS)
  • relevant EU, EEA, Swiss or Turkish nationals working in the Civil Service
  • relevant EU, EEA, Swiss or Turkish nationals who have built up the right to work in the Civil Service
  • certain family members of the relevant EU, EEA, Swiss or Turkish nationals

Further information on nationality requirements

Working for the Civil Service

The Civil Service Code sets out the standards of behaviour expected of civil servants.

We recruit by merit on the basis of fair and open competition, as outlined in the Civil Service Commission’s recruitment principles.
The Civil Service embraces diversity and promotes equal opportunities. As such, we run a Disability Confident Scheme (DCS) for candidates with disabilities who meet the minimum selection criteria.

Apply and further information

Once this job has closed, the job advert will no longer be available. You may want to save a copy for your records.

Contact point for applicants

Job contact :
Name : Head of Data Science, Dr. George Graham
Email : george.graham@landregistry.gov.uk

Recruitment team :
Email : hrresourcingteam2@landregistry.gov.uk

Further information

If you feel your application has not been treated in accordance to the Recruitment Principles and you wish to make a complaint, please email hrresourcingteam2@landregistry.gov.uk in the first instance. If you are not satisfied with the response you receive from HM Land Registry then you may take your complaint to the Civil Service Commission: http://civilservicecommission.independent.gov.uk/making-complaint/

Attachments

Candidate Pack Lead Data Scientist Opens in new window(pdf, 1847kB)