National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Scientist

Cathedrals
4 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Science Placement Programme

Data Science Placement Programme

The work of the directorate’s teams includes delivery of major events, designing and leading public affairs or marketing campaigns, providing data, evidence and analysis, leading cross-organisational programmes, to making sure we plan for and can respond to emerging events or emergencies in our city.

About the team

The City Data Team is made up of a range of technical experts in the fields of Data Science and Engineering, Data Visualisation and Information Design, GIS and Mapping, and Demographic Modelling and Analysis.

The team sits alongside economist and social policy analysts within City Intelligence - a central unit of City Hall serving the Mayor, the London Assembly, the Greater London Authority (GLA) and London.

Our chief purpose is to provide world-class evidence, analysis and tools for the Mayor and his team to formulate outcomes, strategies, policies and delivery plans in London – and to help with their delivery.

We aim to communicate an up-to-date understanding of London, its communities, its economy and its place in a rapidly changing wider world. We work with others to innovate and develop evidence-based policies, programmes and projects that will make a positive difference to London and Londoners.

About the role

The GLA produces a range of demographic projections to meet the needs of planners and policy makers across London. These projections are used to help deliver local services, identify future infrastructure needs, and form a key part of the evidence base for London’s Spatial Development Strategy.

The core purpose of the role is to contribute to the ongoing development of the models and systems used to produce and deliver the projections, to ensure the best possible information is available to underpin decisions about housing, transport, education, and infrastructure, that affect the lives of millions of people.

You will be working on the team’s current priorities for the models:
• Restructuring and refactoring our existing (R) codebase to simplify the process of updating models and producing outputs.
• Developing improvements to existing methodologies used to estimate and project individual components of population change and account for alternative assumptions about future housing deliver, jobs growth, and transport infrastructure.
• Performing analysis of retrospective projections to better understand the strengths and weaknesses of our existing models.
• Improving how we capture and communicate uncertainty in the projections.

What your day will look like

• Stand-up call with the team to update on progress and flag issues.
• Research and assess potential methods for use in the projections, producing a short technical note of your findings for review by the team.
• Coordinate with colleagues who are working to update our data infrastructure and identify changes to existing model code necessary to adapt.
• Call with users to discuss their requirements and receive feedback on existing outputs.
• Contribute to a code or methodology review requested by a colleague in a neighbouring team.

Skills, knowledge and experience

To be considered for the role you must meet the following essential criteria:

• A high level of numeracy and technical knowledge, typically evidenced by a graduate qualification in statistics, mathematics, or an allied subject or exceptionally, by at least five years’ experience in a similar role.
• Professional experience working with R and/or Python, and the use of version control systems for collaborative development.
• Able to appropriately select and apply a wide range of modelling and analytical techniques to real world problems.
• Experience in undertaking project-based work – adapting to deadlines and producing clear documentation of code and assumptions.
• Able to communicate complex technical ideas to a range of audiences.

Job Purpose

To contribute to the development and maintenance of the GLA’s suite of demographic models and analytical tools, leading on the publication of outputs, technical notes, and related analysis as required.

To work with stakeholders in the GLA, functional bodies and London Boroughs, providing analytical support and ensuring that their intelligence needs are met.

To provide expert advice and support on the development and use of models across the wider organisation, promoting best practice in the application of statistics and data science.

To help deliver the team’s programme of analysis and reporting and to develop new and innovative demographic modelling and analytical products to support the needs of policy makers in service provision and future planning for London.

Principal accountabilities

  1. Contribute to the ongoing maintenance, quality assurance, and improvement of the Demography Team’s suite of models.

  2. To work with a wide range of internal and external stakeholders to identify requirements and to address these by providing appropriate analysis, modelling, and expert guidance.

  3. To deliver projections and analytical outputs as part the range of data services provided by the team to internal and external users.

  4. To ensure outputs are produced to high professional standards and are accompanied by appropriate guidance and information to allow stakeholders to correctly interpret and apply the results.

  5. To engage with and share expertise with stakeholders, providing support and guidance, and promoting best practice in the application of data science and modelling.

  6. To undertake analysis and evaluation of alternative data sources, models, and methods, to help guide the team’s technical decisions.

  7. To realise the benefits of working in an open and collaborative manner, ensuring that models and analysis are reproducible and appropriately documented, being transparent with results and methods, and encouraging engagement with the team’s work.

  8. To realise the benefits of London’s diversity by promoting and enabling equality of opportunities and promoting the diverse needs and aspirations of London’s communities.

  9. Realise the benefits of a flexible approach to work in undertaking the duties and responsibilities of this job, and participating in multi-disciplinary, cross-department projects.

  10. Manage staff and resources in allocated to the job in accordance with the Authority’s policies and Code of Ethics and Standards
National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

AI Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide – we refresh it every quarter so you always know who’s really scaling their artificial‑intelligence teams. Artificial intelligence hiring has roared back in 2025. The UK’s boosted National AI Strategy funding, record‑breaking private investment (£18.1 billion so far) & a fresh wave of generative‑AI product launches mean employers are jockeying for data scientists, ML engineers, MLOps specialists, AI product managers, prompt engineers & applied researchers. Below are 50 organisations that have advertised UK‑based AI vacancies in the past eight weeks or formally announced growth plans. They’re grouped into five easy‑scan categories so you can jump straight to the kind of employer – & culture – that suits you. For each company you’ll find: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, culture, mission) Use the internal links to browse current vacancies on ArtificialIntelligenceJobs.co.uk – or set up a free job alert so fresh roles land in your inbox.

Return-to-Work Pathways: Relaunch Your AI Career with Returnships, Flexible & Hybrid Roles

Stepping back into the workplace after a career break can feel like embarking on a whole new journey—especially in a cutting-edge field such as artificial intelligence (AI). For parents and carers, the challenge isn’t just refreshing your technical know-how but also securing a role that respects your family commitments. Fortunately, the UK’s tech sector now boasts a wealth of return-to-work programmes—from formal returnships to flexible and hybrid opportunities. These pathways are designed to bridge the gap, equipping you with refreshed skills, confidence and a supportive network. In this comprehensive guide, you’ll discover how to: Understand the booming demand for AI talent in the UK Leverage transferable skills honed during your break Overcome common re-entry challenges Build your AI skillset with targeted training Tap into returnship and re-entry programmes Find flexible, hybrid and full-time AI roles that suit your lifestyle Balance professional growth with caring responsibilities Master applications, interviews and networking Whether you’re returning after maternity leave, eldercare duties or another life chapter, this article will equip you with practical steps, resources and insider tips.

LinkedIn Profile Checklist for AI Jobs: 10 Tweaks That Triple Recruiter Views

In today’s fiercely competitive AI job market, simply having a LinkedIn profile isn’t enough. Recruiters and hiring managers routinely scout for top talent in machine learning, data science, natural language processing, computer vision and beyond—sometimes before roles are even posted. With hundreds of applicants vying for each role, you need a profile that’s optimised for search, speaks directly to AI-specific skills, and showcases measurable impact. By following this step-by-step LinkedIn for AI jobs checklist, you’ll make ten strategic tweaks that can triple recruiter views and position you as a leading AI professional. Whether you’re a fresh graduate aiming for your first AI position or a seasoned expert targeting a senior role, these actionable changes will ensure your profile stands out in feeds, search results and recruiter queues. Let’s dive in.