Associate Director / Senior Manager, Data Scientist
On-siteHung Hom, Kowloon City, Hong Kong
Job Summary
Lead insurance-specific analytics and AI use cases built on Client 360, including client segmentation, cross-sell models, and next-best-action strategies for advisors. Drive hypothesis-driven experimentation with A/B testing and controlled rollouts to quantify incremental impact and causal uplift. Design, build, and deploy Python-based data science models on AWS, partnering with engineering teams to productionize analytics while ensuring robustness in regulated environments. Define KPIs to track measurable commercial outcomes for growth, retention, and advisor productivity. Own analytics value realization from C360, distinguishing signal from noise through closed-loop learning.
Required Qualifications
- Strong hands-on experience in Python for data science and machine learning
- Proven experience delivering analytics solutions on AWS
- Strong SQL and experience working with large client- or policy-level datasets
- Track record of moving analytics from prototype to production
- 8–12+ years in data science, advanced analytics, or decision science
- A growth mindset to problem solve and curiosity to explore problems to be solved
- Comfortable operating at the intersection of business, analytics, and technology
Desired Qualifications
- Experience in insurance or financial services is strongly preferred
- Good understanding of insurance business levels is strongly preferred
- Personalisation and targeted engagement
- Client lifecycle and persistence
- Distribution effectiveness and advisor enablement
- Familiarity with Client 360, CRM, or enterprise data platforms is a strong advantage
- Prior experience in business consulting and analytics advisory is a plus
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