Senior Actuarial Data Scientist

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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:

1. Develop and implement predictive models for risk assessment, pricing, and reserving using AI/ML techniques.
2. Utilize actuarial methodologies and data science tools to enhance claims modeling & loss ratio predictions.
3. Work with large structured & unstructured datasets to derive actionable insights.
4. Collaborate with actuarial, underwriting, and data teams to integrate AI-driven solutions into business processes.
5. Support the development of automated data pipelines for real-time analytics.
6. Ensure models comply with regulatory requirements (e.g., Solvency II, IFRS 17) and best actuarial practices.

Key Skills & Experience:

1. Qualified (FIA, CERA, ASA, etc.) OR strong actuarial background with data science expertise.
2. Python / R / SQL proficiency for modeling & data manipulation.
3. Experience with Machine Learning techniques (Gradient Boosting, Random Forests, Neural Networks, etc.).
4. Expertise in insurance pricing, reserving, or claims analytics.
5. Strong understanding of data engineering principles and ability to work with cloud platforms (AWS, Azure, GCP).
6. Knowledge of regulatory frameworks (Solvency II, IFRS 17, etc.).
7. Excellent stakeholder management skills & ability to communicate complex data insights effectively.

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