Insurance Data Scientist

SUMMARY:
Are you the kind of person who can take messy insurance data, clean it up, and uncover its hidden story? We’re looking for a Data Scientist with an investigative mindset - someone who thrives on solving puzzles, supporting actuarial teams, and transforming complex datasets into insights that actually move the business forward.

POSITION INFO:
Join a forward-thinking insurer where data and analytics drive every decision. You’ll collaborate closely with Actuaries and business leaders to influence pricing, reserving, and risk strategies - all while helping the business stay ahead in a fast-evolving IFRS 17 environment.

This is your chance to make a direct impact, sharpen your technical edge, and grow your influence in the world of actuarial analytics. You’ll be the bridge between raw data and strategic decisions, using your technical toolkit to shape smarter, faster, and more informed outcomes.

Our client is a leading insurer that places data and analytics at the heart of its strategy. This role offers exposure to actuarial analytics, IFRS 17 compliance, and predictive modelling in a dynamic environment.

Why Join?:

• Work on high-impact projects that influence business decisions
• Collaborate with Actuaries and senior leaders on pricing and risk strategies
• Gain experience in IFRS 17 reporting and advanced modelling techniques

• Partner with actuarial and business teams to deliver insights on pricing, reserving, and risk
• Analyse large and complex insurance datasets to identify patterns and opportunities
• Support IFRS 17 reporting with accurate and compliant data pipelines
• Build and optimise predictive models and reporting tools
• Translate complex technical results into clear, actionable insights for decision-makers

• Education: Bachelor’s Degree in Data Science, Statistics, Computer Science, Mathematics, or a related field (Honours/Master’s an advantage)
• Experience: Proven experience within the Insurance industry (essential)
• Skills:
  • Proficiency in SQL, Python, R, or similar tools
  • Understanding of IFRS 17 and insurance data structures
  • Strong analytical mindset and communication skills - ability to explain complex data in plain English

• Actuarial roles (Life, Short-Term, Health, Pensions, Quantitative)
• Data Scientists / Data Analysts (Python, R, SQL, Machine Learning)
• Risk Analysts (Credit, Market, Model Risk, Operational)
• Pricing Specialists (Insurance, Financial Products)
• Machine Learning & AI Data Scientists (ML Ops, NLP, Predictive Modelling)
• Quantitative Specialists across Banking, Insurance, and FinTech