Data Scientist – Insurance

SUMMARY:
🔍 Are you the kind of person who can take messy insurance data, clean it up, and uncover the hidden story? We’re looking for a data detective who thrives on solving puzzles, supporting actuarial teams, and turning data into actionable business intelligence. If you’ve ever wondered “What’s the data really telling us?” — this is your chance to answer it.

POSITION INFO:
Our client is a forward-thinking insurance player where data and analytics drive smarter decisions. As their Data Scientist, you’ll work side-by-side with Actuaries and business leaders to provide critical insights that influence pricing, reserving, and risk strategies. With IFRS 17 reshaping reporting requirements, your expertise will ensure accuracy, compliance, and strategic advantage.

This is a role where you’ll directly impact business outcomes, sharpen your technical edge, and grow your influence in the insurance and actuarial space.

Key Responsibilities:

• Partner with actuarial teams to deliver data-driven insights on pricing, reserving, and risk.
• Analyse large, complex insurance datasets to identify patterns, trends, and opportunities.
• Support IFRS 17 reporting by ensuring accurate and compliant data pipelines.
• Build, maintain, and optimise predictive models and reporting solutions.
• Translate technical findings into clear business insights for decision-makers.

• Bachelor’s Degree in Data Science, Statistics, Computer Science, Mathematics, or a related field.
• Proven experience in the insurance industry (essential).
• Strong technical proficiency in SQL, Python, R, or similar.
• Familiarity with IFRS17 and insurance reporting requirements.
• Analytical mindset with problem-solving flair.
• Strong communication skills – able to bridge the gap between data and business.

• 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