Lead Data Scientist

Poole
20 hours 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
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 practical development and line management, ensuring machine learning and advanced analytics are embedded into the 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 focusing 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 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.
    Safeguarding
    The RNLI is committed to safeguarding; protecting a person’s health, wellbeing, and human rights, enabling them to live free from harm, abuse, and neglect. We expect all employees and volunteers to share this commitment and have a zero-tolerance approach. The suitability of all prospective employees and volunteers will be assessed during the recruitment process in line with this commitment. This will include relevant criminal record checks being carried out, dependent on the eligibility of the role. (England & Wales; DBS check, Scotland; Disclosure Scotland PVG, Northern Ireland; Access NI, Republic of Ireland; Garda Vetting; International, International Child Protection Certificate process).
    Diversity at the RNLI
    Our staff and volunteers have been saving lives at sea without prejudice for 200 years. We respect and value diversity of background, skills and perspectives within our teams, and consider it essential to help us deliver a world-class lifesaving service. We are an inclusive organisation and welcome applications from everyone. In addition to having the skills needed for the role, we also look for applicants who share our commitment to living our RNLI values (trustworthy, courageous, selfless, and dependable), and helping us work towards Our Vision: To save Every One

Related Jobs

View all jobs

Lead Data Scientist

Lead Data Scientist

Lead Data Scientist

Lead Data Scientist - Remote

Lead Data Scientist

Lead Data Scientist - ML & AI Strategy (Hybrid, Newcastle)

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 Machine Learning Careers: Turning Different Thinking into a Superpower

Machine learning is about more than just models & metrics. It’s about spotting patterns others miss, asking better questions, challenging assumptions & building systems that work reliably in the real world. That makes it a natural home for many neurodivergent people. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a technical career. In reality, many of the traits that can make school or traditional offices hard are exactly the traits that make for excellent ML engineers, applied scientists & MLOps specialists. This guide is written for neurodivergent ML job seekers in the UK. We’ll explore: What neurodiversity means in a machine learning context How ADHD, autism & dyslexia strengths map to ML roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in ML – & how to turn “different thinking” into a genuine career advantage.

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

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.