Data Scientist

• Lead end-to-end model development (design, training, validation, monitoring) and deploy production ML/AI services.
• Partner with ML/AI engineers to build scalable architectures and real-time inference systems.
• Translate complex concepts into clear, actionable insights for technical and non-technical stakeholders.
• Define KPIs and measure value delivery; ensure model governance, quality, and best practices.
• Mentor data scientists; review code, analyses, and presentations to maintain high standards.
• Manage projects and roadmaps with product owners and business teams to prioritise high-impact use cases.

• 6+ years' hands-on data science experience with production deployments.
• Insurance domain fluency and understanding of industry data and use cases.
• Advanced Python (pandas, scikit-learn, TensorFlow/PyTorch) and strong ML methods (ensembles, trees, regression).
• Clear communicator who can influence stakeholders and drive adoption.
• Degree in Statistics, Mathematics, Computer Science, Analytics or related field (Master's preferred)., * Knowledge of RAG and agentic AI frameworks.
• Experience with MLOps (CI/CD for ML, monitoring, feature stores).
• Familiarity with modern data platforms and real-time services.

A leading specialty insurer with a strong international footprint and a reputation for technical excellence. The organisation is investing heavily in data and AI to enhance underwriting, claims, and customer experience, offering a collaborative culture, modern tooling, and clear pathways for growth.