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A leading lifesaving organization located in England is seeking a Lead Data Scientist to drive their data science capability. This role involves shaping advanced analytics, machine learning, and AI solutions to improve operational efficiency. The ideal candidate will possess strong Python skills, experience in delivering ML solutions, and proven leadership in managing technical teams. Collaborating with multiple stakeholders, you will lead projects and ensure practices are aligned with organizational priorities while fostering an innovative team atmosphere.
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:
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.