Data Scientist

Networking Women in the Fire Service; London; Hybrid; GBP 45,000 - 55,000; Full time

Job summary

A leading Fire and Rescue Service is seeking a Data Scientist to enhance strategic decision-making through advanced analytics and machine learning projects. The role involves collaboration within a technical team to improve data capabilities, with a strong focus on presenting insights and fostering a culture of innovation.

Benefits

26 days’ holiday plus bank holidays

Flexible working including work from home 60%

Free access to the Brigade gym

Cycle to work scheme

Contributory pension scheme

Qualifications

• Demonstrable experience in data science or complex data analytics.
• Experience using Python and Power BI for analysis.
• Ability to 'story-tell' with data at various organizational levels.

Responsibilities

• Deliver advanced analytics, forecasting, and machine learning projects.
• Present findings to senior stakeholders and support external reporting.
• Contribute to AI and data-driven solutions for the organization.

Skills

Python

Power BI

Data Analysis

Forecasting

Machine Learning

Job description

Post: Data Scientist
Salary: £45,485 per annum
Grade: FRS E
Salary range: £45,485 – £54,332 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 recruiting a technically skilled and innovative Data Scientist to join the Performance Improvement & Business Intelligence team within the Transformation Directorate.

This is an exciting opportunity to be part of a growing Data Science function that plays a critical role in shaping the Brigade’s strategic decision-making. You will deliver advanced analytics, forecasting, and machine learning projects that address complex challenges, improve services, and help us keep London safe.

You will contribute to the development and implementation of AI and data-driven solutions using Python, Power BI, and other tools, enriching LFB’s data capabilities and helping the organisation automate processes and extract meaningful insights. The role also involves presenting findings to senior stakeholders, supporting external reporting, and contributing to a culture of data innovation through open-source collaboration, training, and technical leadership.

This is a high-impact role that offers the chance to work on major transformation projects, build cutting-edge analytical tools, and develop your technical skills in a supportive, forward-looking environment.

This post requires in-person attendance at LFB HQ or 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. Experience using advanced programming languages (either Python or R) and Power BI to undertake complex organisational analysis (e.g. modelling, forecasting).
3. Experience “story-telling” with data to different levels of an organisation in a way that is cohesive, easily understandable and consistent.
4. Excellent development skills in a complex programming language (Python is essential, R would be desirable as an addition).

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.