Job Description

Senior Actuarial Data Scientist (Contract)

Location: Hybrid / London

Contract Length: 6-12 months (potential for extension)

We are hiring a Senior Actuarial Data Scientist to support a leading insurance client in leveraging AI & advanced analytics for pricing, underwriting, and claims optimization. This is an exciting opportunity to work at the intersection of actuarial science, machine learning, and data-driven decision-making in a dynamic, fast-paced environment.

Key Responsibilities:

Develop and implement predictive models for risk assessment, pricing, and reserving using AI/ML techniques

Utilize actuarial methodologies and data science tools to enhance claims modeling & loss ratio predictions

Work with large structured & unstructured datasets to derive actionable insights

Collaborate with actuarial, underwriting, and data teams to integrate AI-driven solutions into business processes

Support the development of automated data pipelines for real-time analytics

Ensure models comply with regulatory requirements (e.g., Solvency II, IFRS 17) and best actuarial practices

Key Skills & Experience:

Qualified (FIA, CERA, ASA, etc.) OR strong actuarial background with data science expertise

Python / R / SQL proficiency for modeling & data manipulation

Experience with Machine Learning techniques (Gradient Boosting, Random Forests, Neural Networks, etc.)

Expertise in insurance pricing, reserving, or claims analytics

Strong understanding of data engineering principles and ability to work with cloud platforms (AWS, Azure, GCP)

Knowledge of regulatory frameworks (Solvency II, IFRS 17, etc.)

Excellent stakeholder management skills & ability to communicate complex data insights effectively.Apply with your CV or email me at