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

Nominate & Attend

Senior Data Scientist

Networking Women in the Fire Service
London
1 month ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist - Consumer Lending

Senior Data Scientist

Senior Data Scientist

Post: Senior Data Scientist
Salary: £54,332 per annum
Grade: FRS F
Salary range: £54,332 – £70,549 per annum
Contract type: Permanent
Working pattern: Full-time
Application closing date: 4 PM on Friday 04 July 2025

London Fire Brigade (LFB) is London’s Fire and Rescue Service – one of the largest firefighting and rescue organisations in the world. We are here to make London a safer city.

We employ over 5,500 people, across our operational team (our firefighters), control (our call handlers who answer your 999 calls) and our non-operational team (our teams who work behind the scenes to support our front-line services, including HR, IT, Finance, Procurement, Communications etc.).

LFB is looking for a skilled and forward-thinking Senior Data Scientist to lead our Data Science Team within the Performance Improvement & Business Intelligence section of the Corporate Services Directorate.

As the Senior Data Scientist, you’ll drive the use of advanced analytics, forecasting, and AI to support strategic decision-making across the Brigade. You will lead a team of data professionals delivering impactful, technically robust solutions to some of the most complex challenges in a large emergency service organisation.

You will have the opportunity to lead on the design and delivery of complex projects, applying machine learning, advanced statistics, and data storytelling to uncover insights, optimise performance, and forecast emerging risks. You’ll also play a key role in shaping the organisation’s capability in this space, developing standards, tools and training that enhance data literacy and confidence across LFB.

This post plays a critical part in ensuring we maximise the value of our data and maintain our position at the forefront of public sector analytics innovation.

This role requires in-person attendance at LFB Headquarters or on-site at fire stations at least two days per week.

Further information about the main duties and responsibilities of the role are detailed in the job description. If you are unable to see the job description, salary range or the full advert, please visit our jobs pages at https://jobs.london-fire.gov.uk/alljobs/ to access the full advert.

We value the diversity of our employees and aim to recruit a workforce which reflects our diverse communities across London. The London Fire Commissioner is an Equal Opportunities Employer and we positively welcome applications from all suitably qualified individuals, irrespective of people’s age, disability, gender, race or ethnicity, religion or belief, sexual orientation, or other personal circumstances. We have guidance in place to ensure that all applicants are treated fairly and consistently at every stage of the recruitment process, including the consideration of reasonable adjustments for people who have a disability.

Assessment Overview
Stage 1

To apply, please complete the online application, upload a copy of your up-to-date CV and provide evidence to address the following selection criteria:

1. Demonstrable experience of working within a large, complex organisation in a data science or complex data analytics function.
2. Significant experience using advanced programming languages (either Python or R) and Power BI to undertake complex organisational analysis (e.g. modelling, forecasting).
3. Experience of extracting business value from data science methods using both quantitative and qualitative methods.
4. Excellent development skills in a complex programming language (Python is essential, R would be desirable as an addition).
5. App building skills (Python is essential, R or Power Automate would be desirable as additions).

Please note that we will score the evidence you provide based on the competencies listed in the selection criteria above.

Shortlisted candidates will be invited to attend stage 2.

Please ensure you give yourself enough time to complete and submit your application. Late or un-submitted applications cannot be accepted.

Please note any correspondence received from us will be via e-mail and sent to the address you provide on your application form.

Stage 2

Assessment for this role is due to take place week commencing 14 July 2025 Please be advised that if you are unable to make the scheduled assessment date, we may not be able to make alternative arrangements.

Additional Information
Benefits of working for the London Fire Brigade

• 26 days’ holiday plus bank holidays
• Flexi-time Scheme (which can result in an additional 12 days annual leave)
• Additional leave between Christmas Day and New Year
• Family (including maternity) leave and emergency support leave
• Flexible working including work from home 60%
• Free access to the Brigade gym
• Use of the Brigade’s Medical Adviser/physios/fitness advisers
• Free counselling
• Season ticket loans
• Join social networks including our Equality Support Groups
• Contributory pension scheme
• Cycle to work scheme
• Staff discount scheme including access to Blue Light Card retail and hospitality discounts
• Opportunity to access affordable accommodation

In line with the Basic Personnel Security Standard (BPSS) employment checks will be completed by successful candidates, which will include a Standard criminal records check. Successful candidate will be required to declare any convictions for offences and any offer of employment is subject to the LFC receiving a criminal records disclosure which it considers satisfactory.


#J-18808-Ljbffr

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.

10 AI Recruitment Agencies in the UK You Should Know (2025 Job‑Seeker Guide)

Generative‑AI hype has translated into real hiring: Lightcast recorded +57 % year‑on‑year growth in UK adverts mentioning “machine learning”, “LLM” or “gen‑AI” during Q1 2025. Yet supply still lags. Roughly 18,000 core AI professionals work in the UK, but monthly live vacancies hover around 1,400–1,600. That mismatch makes specialist recruiters invaluable—opening stealth vacancies, advising on salary bands and fast‑tracking interview loops. But many tech agencies sprinkle “AI” on their website without an active desk. To save you time, we vetted 50 + consultancies and kept only those with: A registered UK head office (verified via Companies House). A named AI/Machine‑Learning or Data practice.

AI Jobs Skills Radar 2026: Emerging Frameworks, Languages & Tools to Learn Now

As the UK’s AI sector accelerates towards a £1 trillion tech economy, the job landscape is rapidly evolving. Whether you’re an aspiring AI engineer, a machine learning specialist, or a data-driven software developer, staying ahead of the curve means more than just brushing up on Python. You’ll need to master a new generation of frameworks, languages, and tools shaping the future of artificial intelligence. Welcome to the AI Jobs Skills Radar 2026—your definitive guide to the emerging AI tech stack that employers will be looking for in the next 12–24 months. Updated annually for accuracy and relevance, this guide breaks down the top tools, frameworks, platforms, and programming languages powering the UK’s most in-demand AI careers.

How to Find Hidden AI Jobs in the UK Using Professional Bodies like BCS, IET & the Turing Society

Stop Scrolling Job Boards and Start Tapping the Real AI Market Every week a new headline announces millions of pounds flowing into artificial-intelligence research, defence initiatives, or health-tech pilots. Read the news and you could be forgiven for thinking that AI vacancies must be everywhere—just grab your laptop, open LinkedIn, and pick a role. Yet anyone who has hunted seriously for an AI job in the United Kingdom knows the truth is messier. A large percentage of worthwhile AI positions—especially specialist or senior posts—never appear on public boards. They emerge inside university–industry consortia, defence labs, NHS data-science teams, climate-tech start-ups, and venture studios. Most are filled through referral or conversation long before a recruiter drafts a formal advert. If you wait for a vacancy link, you are already at the back of the queue. The surest way to beat that dynamic is to embed yourself in the professional bodies and grassroots communities where the work is conceived. The UK has a dense network of such organisations: the Chartered Institute for IT (BCS); the Institution of Engineering and Technology (IET) with its Artificial Intelligence Technical Network; the Alan Turing Institute and its student-driven Turing Society; the Royal Statistical Society (RSS); the Institution of Mechanical Engineers (IMechE) and its Mechatronics, Informatics & Control Group; public-funding engines like UK Research and Innovation (UKRI); and an ecosystem of Slack channels and Meetup groups that trade genuine, timely intel. This article is a practical, step-by-step guide to using those networks. You will learn: Why professional bodies matter more than algorithmic job boards Exactly which special-interest groups (SIGs) and technical networks to join How to turn CPD events into informal interviews How to monitor grant databases so you hear about posts months before they exist Concrete scripts, portfolio tactics, and outreach rhythms that convert visibility into offers Follow the playbook and you move from passive applicant to insider—the colleague who hears about a role before it is written down.