Lead Data Scientist

RNLI
London
1 month ago
Applications closed

Related Jobs

View all jobs

Lead Data Scientist

Lead Data Scientist

Lead Data Scientist

Lead Data Scientist

Lead Data Scientist

Lead Data Scientist

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.

Were looking for a Lead Data Scientist to join our data and analytics team, who will drive the RNLIs 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 RNLIs 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 RNLIs 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 RNLIs 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 persons 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.
    TPBN1_UKTJ

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.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.