Lead Data Scientist

RNLI
Poole
2 days ago
Create job alert

Lead Data Scientist

Salary £50,000 to £55,000 (dependent on experience) Contract type Permanent Hours Full Time Location Poole, Dorset, England Location description Hybrid between home and Poole – with travel to Poole or other RNLI locations as required by the role Closing Date 11-01-2026 Reference 21074 Documents (please view all documents)
(PDF, 210.09kb)

(PDF, 1219.65kb)

About us


The RNLI provides a 24-hour lifeboat search and rescue service, lifeguards, fundraising, and drowning prevention. Our frontline lifesavers and fundraisers need a dedicated, professional and talented team behind them, and that is where you come in.


We’re looking for a Lead Data Scientist to join our data and analytics team, who will drive the RNLI’s data science capability to deliver practical, high-impact solutions that improve decision-making and operational efficiency. This role combines strategic vision with hands-on development and line management, ensuring machine learning and advanced analytics are embedded into RNLI’s digital transformation.


Your role


Our Lead Data Scientist will set the direction for data science at the RNLI while remaining deeply involved in delivery. This role identifies opportunities for advanced analytics, machine learning and AI, shapes the roadmap, and ensures solutions are deployed into real-world environments. It requires curiosity, technical depth, and the ability to influence stakeholders while mentoring a high performing team.


You will work closely with engineering, BI, and product teams, leveraging platforms such as Databricks to build scalable models and pipelines. This role is both visionary and practical: defining standards, leading innovation, and writing production-grade code when needed.


As a Lead Data Scientist you will be tasked with focus on the following areas:

Shape RNLI’s data science capability by identifying opportunities for machine learning and advanced analytics to solve operational and strategic challenges.


Provide technical leadership and set standards for modelling, experimentation, and deployment.
Engage senior stakeholders to align data science initiatives with organisational priorities and demonstrate measurable impact.
Lead and deliver projects that apply ML and AI techniques, from ideation through to production deployment.
Collaborate with Technical Leads to ensure integrated delivery across RNLI’s data platforms.
Influence platform design and configuration, including Databricks and Azure ML, to optimise for data science workloads.
Line manage and mentor the data science team, fostering curiosity, innovation, and continuous improvement.
Define and embed best practices for documentation, version control, and delivery pipelines using RNLI-approved tools.
Stay ahead of emerging trends in ML, AI, and data science, introducing new ideas and methodologies to RNLI.

 About you


We are looking for someone who thrives in a leadership role, balancing technical depth with strategic influence and enjoys working to lead robust data and analysis to underpin key decisions.


To be considered as the Lead Data Scientist you will need:

Proven experience delivering ML solutions into operational environments


Strong Python programming skills and experience with big data platforms
Experience leading and mentoring technical teams
Excellent communication skills for engaging stakeholders at all levels

It is also desirable that you have:

Relevant postgraduate or vocational qualifications in data science or the communication of analytics. 


Familiarity with RNLI operations
Experience deploying AI/ML solutions using Databricks and Azure ML

So, if as a Lead Data Scientist, you have the relevant qualifications and experience, and are someone who sees the vision of the difference that data science can make and is keen to help make it a reality, then this could be the role for you. Please apply via the button shown.

Related Jobs

View all jobs

Lead Data Scientist - Remote

Lead Data Scientist - Remote

Lead Data Scientist

Lead Data Scientist

Lead Data Scientist

Lead Data Scientist

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.

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.