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We're on the lookout for a driven Data Scientist for Distribution Strategy to help an innovative financial-services client reshape how insurance products reach customers across both agency and digital channels. In this role, you'll be the go-to analytics expert behind how products move from marketing to market by identifying the smartest ways to acquire customers, boost retention, and streamline channel performance.
Responsibilities
- Define, track, and communicate performance metrics (funnel drop-offs, CAC vs. LTV, quote-to-policy timelines) across distribution, marketing, and product team
- Build models to refine lead scoring and guide next-best-action decisions
- Evaluate partner and channel performance, recommending smarter resource allocation
- Deploy real-time dashboards that monitor how each channel is delivering
- Turn raw channel data into actionable insights that influence strategy and execution
Requirements
- 5+ years in data analytics within insurance (especially distribution models like tied agents, MDRTs, FAs, etc.)
- Strong stakeholder savvy, can explain data outcomes in plain terms
- Sharp statistical modeling skills including regression, uplift and LTV models
- Experience with Databricks, Google Vertex AI, or BigQuery (nice-to-have)
This is a contract role based in Singapore.
Seniority level- Seniority levelMid-Senior level
- Employment typeContract
- Job functionInformation Technology, Distribution, and Strategy/Planning
- IndustriesInsurance, IT Services and IT Consulting, and Data Infrastructure and Analytics
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