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
