An exceptional opportunity for a senior data scientist to apply advanced analytics and statistical modeling directly to high-value underwriting, risk, and financial decisions in one of the world's most sophisticated insurance markets.
Why You Should Apply:
Direct Business Impact – Your models will influence underwriting, pricing, longevity risk, and capital decisions tied to large-scale reinsurance transactions.
Global × Japan Exposure – Operate at the intersection of global analytics and Japan's highly advanced insurance market, collaborating with international stakeholders in an English-speaking environment.
Senior-Level Influence – Act as a trusted individual contributor, shaping modeling approaches and analytical direction — not just executing predefined tasks.
Cross-Functional Leadership – Work closely with actuarial, underwriting, finance, and product teams where analytics is central to strategic decision-making.Long-Term, Meaningful Challenges – Apply advanced data science to complex, real-world risk problems within a stable, globally respected organization.
Company Overview
Operating in Japan since 1995 and fully licensed as the first foreign life reinsurer in 2003, the Tokyo office now employs over 100 professionals.
The company is consistently ranked #1 by insurers in Japan for business capability in industry surveys, reflecting its strong market reputation and analytical excellence.
Responsibilities:
Design and validate predictive and machine learning models for underwriting, risk, and portfolio analysis
Analyze large, complex datasets to generate insights that support business and risk decisions
Develop and apply AI and Generative AI solutions, including LLM-based and agent-driven workflows
Translate business problems into practical, scalable data science solutions
Collaborate with cross-functional and client-facing stakeholders across the organization
Communicate analytical results clearly to both technical and non-technical audiences
Stay current with emerging data sources and AI technologies
Provide technical guidance to junior data scientists as needed (no formal people management)
Required Skills:
10+ years of experience in data science, analytics, or statistical modeling
Strong hands-on experience with Python and/or R
Solid background in statistical and machine learning methods (e.g., GLM, ML, deep learning, time series)
Practical experience with Generative AI and LLM-based solutions
Experience deploying models and working with MLOps and governance frameworks
Industry experience in insurance, reinsurance, finance, or risk-related domains preferred
Strong communication skills and ability to work independently across teams
Working hours:
9:00-18:00, Monday-Friday
Work Style:
2 days / week Work-from-home - Some flexibility to work from home 2 days a week subject to manager's approval and team's arrangement.
Holidays:
Saturday, Sunday, 20 days annual Leave, refresh holiday, etc
Services/Benefits:
Number of annual paid vacation days- 20 days per calendar year, will be prorated based on date of joining.
Holiday policy - Japanese national holidays.
Bonus structure - Specific target bonus percentages, final rates will be determined after the interviews.
Unique benefit - 3 days of refresh holidays to be utilized between April – Oct every year.
ID:494202
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