Actuarial Data Scientist

About the job

As a Senior Actuarial Data Scientist, you’ll play a key part in Aon’s Risk Analyzers team, helping shape the future of actuarial analytics. This role combines deep actuarial expertise with advanced data science skills, focusing on building scalable models and pipelines that analyze large, complex datasets. Job Responsibilities: • Build sophisticated actuarial code, models, and Monte Carlo simulations for risk analysis using Python or PySpark • Optimize end-to-end data pipelines for performance, reliability, and scalability • Partner with actuaries, application developers, business leaders, and non-technical stakeholders • Document processes, data flows, and models to enable reuse • Keep abreast of the latest technologies in data engineering and actuarial science Skills/Competencies Required: • Experience working with actuarial teams in general insurance • Actuarial knowledge of frequency and severity modelling • Experience with PySpark and using Databricks for large data pipelines • Excellent communicator (both verbally and in writing) • Track record of optimizing code and pipelines for speed, efficiency, and scalability.

Requirements

• Python
• PySpark
• Data Engineering
• Statistical Modelling
• Communication

Qualifications

• Graduates
• Actuarial qualifications preferred

Preferred Technologies

• Python
• PySpark
• Data Engineering
• Statistical Modelling
• Communication

About the company

Aon is dedicated to better decision-making to enrich lives globally through its services.