Salary: £55,000 - 55,000 per year Requirements:
* 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.
* Relevant postgraduate or vocational qualifications in data science or the communication of analytics (desirable).
* Familiarity with RNLI operations (desirable).
* Experience deploying AI/ML solutions using Databricks and Azure ML (desirable).
Responsibilities:
* 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 organizational 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 optimize 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.
Technologies:
* AI
* Azure
* Big Data
* Databricks
* Embedded
* Machine Learning
* Python
* Cloud
More:
At RNLI, we provide a 24-hour lifeboat search and rescue service, lifeguards, fundraising, and drowning prevention. We seek a dedicated and talented Lead Data Scientist to join our data and analytics team in Poole, Dorset. Our hybrid work model allows for flexibility between home and office with occasional travel required. This role combines strategic vision with practical development, ensuring machine learning and advanced analytics are embedded into our digital transformation. We value diversity and are committed to safeguarding our community, ensuring that all our employees and volunteers are treated with respect and dignity.
last updated 1 week of 2026