Lead Data Scientist

Logo for HM Land Registry
Apply

Before you apply - don't miss out!

Subscribe to our weekly job alert

By registering you agree to our terms & conditions and privacy policy.

You can unsubscribe anytime using the link in the bottom of the email.

You will receive an email asking you to confirm your subscription

Organisation
HM Land Registry
Locations

Plymouth / any HMLR office.

Application Deadline
Salary
£52,667 - £61,262

We have an exciting opportunity to join the HMLR Data Science Practice. Your specialist skills and expertise will help us to extract insight from our data and enhance our ability to innovate as we develop data driven services and value-added data products in response to user needs. If you have expert level practical skills, knowledge and leadership experience in Data Science we would welcome your application to join the team as one of our Senior or Lead Data Scientists.

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.

It is a very exciting time to join the Land Registry 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 now looking for a Lead Data Scientist to join our Digital, Data and Technology team to help us to achieve this.

We are currently growing our Data Science Capability. 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, data exploration and insight generation.

Job description

As a Lead Data Scientist, 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 enhancing and developing our Digital Registers by interrogating and mining our free text data stores using Natural Language Processing; using Deep Learning techniques to identify and extract information from digital imagery; improving user journeys though our services by building recommender systems; developing intelligent tools to identify and counter fraudulent Property transactions; or increasing value for our users and the wider market sector by conceptualising and building innovative new data product 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.

About the Data Science Practice:

The HMLR Data Science Practice is the home of Subject Matter Experts who support and consult with teams across the organisation to ensure successful conceptualisation, integration and delivery of Data Science solutions. The Practice delivers a range of services, focusing on complex problems requiring application of techniques from our wide-ranging Data Science and Machine Learning toolkit. In the last two years applications of Data Science at HMLR have largely been 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 requiring tools and techniques across the data science spectrum. These including Natural Language Processing and Machine Learning to drive 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.

Responsibilities

You will provide specialist leadership to develop a Data Linking function within our Practice. You 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 a wide variety of analytical Data Science projects and solutions that require data linkage within HMLR and across Government.

You will have strong Data Science leadership experience, coupled with expert practical skills and technical abilities in Linked Data and Knowledge Graph development, mining and inference. You may also have deep expertise in one (or more) of the following subject specialisms:

  • Text/NLP,
  • Computer Vision/Digital Imagery,
  • Data visualisation and interactive exploration
  • Geospatial
  • Linked Data and Knowledge Graph mining and inference

For more information about the role, competencies and capabilities required, please see the attached Candidate Pack.

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 hybrid working arrangement with 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 is the minimum required to effective in-person collaboration. Some national travel may be required as part of these roles.

Where an individual taking up the responsibility will be based in Swansea Office, the ability to speak Welsh is desirable.

Behaviours

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

  • Leadership
  • Working Together
  • Delivering at Pace

Apply before 11:55 pm on Monday 1st November 2021


Apply

Not what you're looking for?

Use our search to find your ideal career opportunity

Search term is required
No jobs were found
Total of [[ totalJobs ]] jobs were found

[[ jobs.name ]]

[[ jobs.location ]]
[[ jobs.salary_min|decimals ]] - [[ jobs.salary_max|decimals ]]
[[ jobs.posted_time_friendly ]]

Featured Jobs

The Institute of Science and Technology Austria

October 29, 2021

Czech Technical University in Prague

November 27, 2021

University of Central Florida

November 06, 2021

The Institute of Statistical Science of Academia Sinica

December 31, 2021

The Royal Academy of Engineering

October 25, 2021

Qualifications Wales

November 03, 2021

HM Land Registry

November 01, 2021

National Audit Office

October 24, 2021

HM Land Registry

November 01, 2021

Swansea University

Swansea

October 24, 2021

Bocconi University

January 30, 2022

Abbott Diabetes Care

November 06, 2021

Finance & Leasing Association

November 11, 2021

The Animal and Plant Health Agency (APHA)

November 08, 2021

NatWest

November 14, 2021

University of Southern California

November 17, 2021

UCLA Statistics

October 28, 2021

Greater London Authority

October 24, 2021

Our Partners

Logo for Logo University Of Manchester
Logo for Yougov
Logo for Ministry
Logo for Ons Logo
Logo for Un
Logo for Office Depot
Logo for Mit Logo
Logo for Fca

Like what you see?

Post a job