Lead Data Scientist - Insurance Analytics - J12995

About the Client: Our client is a globally recognized market leader in the Life, Health, and Wealth Management sectors. They are currently undergoing a massive, highly funded transformation to become a truly AI-first organization. By building a state-of-the-art enterprise data foundation, they are empowering their business units to leverage machine learning and GenAI at scale. This is an environment that champions innovation, heavily invests in modern cloud infrastructure, and places data science directly at the heart of its commercial growth strategy. The Role & Landscape: Sitting directly within the business-facing Data & Analytics leadership team, you will bridge the gap between advanced machine learning and commercial insurance outcomes. You will not be bogged down by platform delivery or data governance; instead, you will focus purely on value realization. - Lead highly visible analytics and AI initiatives utilizing Customer 360 data to drive client segmentation, cross-selling, and next-best-action models. - Own the hypothesis-driven experimentation framework, designing robust A/B and multivariate tests to ensure business decisions are statistically sound. - Remain highly hands-on, designing and building Python-based machine learning models from scratch. - Partner closely with technology engineering teams to productionize and scale your algorithms on AWS. - Define KPIs, quantify causal uplift, and present actionable decision intelligence to senior non-technical stakeholders. What We Are Looking For: - Experience: 8–12+ years of progressive experience in data science, advanced analytics, or decision science. - Domain Expertise: Deep understanding of the insurance or broad financial services landscape (Life & Health, Wealth & Pension, distribution effectiveness, advisor enablement). - Technical Stack: Exceptional, hands-on coding proficiency in Python and SQL. - Cloud: Proven track record of taking analytics solutions from prototype to production on AWS. - Methodology: Strong grasp of hypothesis testing, test-and-control mechanisms, and causal impact measurement. - Mindset: A consultative, growth-oriented leader who thrives at the intersection of business, analytics, and technology. Prior consulting experience is highly advantageous. Why Apply To This Role: This is a rare opportunity to avoid the red tape of traditional IT departments and sit directly where the commercial action is. You will have the autonomy to shape the AI roadmap, access to a pristine Customer 360 data foundation, and the mandate to deploy cutting-edge GenAI and ML models on AWS. If you are a hands-on technical powerhouse who wants your work to directly impact the bottom line of a global enterprise, this is your next move.

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