Senior Data Scientist (Permanent)
Location: Hybrid / London
Salary: £65,000 - £85,000

We are looking for a Senior Data Scientist to join a leading financial institution, playing a key role in shaping how we use AI and advanced analytics to drive strategic decisions across pricing, risk, and performance.

This is a high-impact, permanent role at the intersection of actuarial science and machine learning-ideal for someone eager to transform financial data into actionable insights.

Key Responsibilities:

• Design and implement predictive models for pricing, reserving, capital modeling, and financial forecasting
• Apply a blend of actuarial techniques and machine learning to improve underwriting, claims, and financial performance
• Work with large-scale structured and unstructured data to identify patterns and enhance decision-making
• Collaborate across actuarial, risk, data, and underwriting teams to integrate AI-driven tools into business processes
• Contribute to the automation of data workflows and development of scalable analytics infrastructure
• Ensure all models and analytical frameworks comply with relevant regulations and internal governance (e.g. Solvency II, IFRS 17)

Key Skills & Experience:

• Proficient in Python, R, and SQL for data analysis and predictive modeling
• Experience with machine learning techniques (e.g., Gradient Boosting, Random Forests, Neural Networks)
• Deep knowledge of pricing, reserving, capital modeling, or claims analytics within insurance or broader financial services
• Understanding of cloud environments (AWS, Azure, GCP) and modern data engineering practices
• Familiar with regulatory and financial reporting standards (Solvency II, IFRS 17, Basel III, etc.)
• Strong communication skills and the ability to translate technical insights into business strategy