This link goes straight to Kotak Life Insurance’s own careers page. No account, no fee, and we never collect your resume.
Description: Objective of the Role To leverage data science, advanced analytics, and machine learning techniques to enable data-driven decision making across Life Insurance distribution channels. The role will support sales productivity enhancement, customer acquisition, retention, persistency management, lead prioritization, and business growth through actionable insights and predictive analytics. Key Responsibilities Responsibilities Weightage Develop predictive models to improve sales productivity, lead conversion, customer acquisition, and persistency 25% Build channel-wise analytics frameworks for Agency, Banca, Direct, Partner and Digital channels 15% Conduct customer segmentation, propensity modelling, and cross-sell/up-sell analytics 15% Generate actionable business insights through large-scale data analysis to support sales strategy decisions 15% Develop dashboards and scorecards for sales leaders to monitor business performance and productivity metrics 10% Partner with Sales, Marketing, Product, Underwriting, Technology and Operations teams to drive analytics initiatives 10% Support AI/ML-led business transformation and automation projects across distribution channels 10% Total: 100% Key Deliverables - Sales Productivity Models - Lead Scoring Frameworks - Customer Propensity Models - Agent Advisor Productivity Analytics - Persistency Prediction Models - Channel Performance Dashboards - Cross-sell & Upsell Recommendations - Business Performance MIS & Insights - AI-Based Sales Opportunity Identification Required Qualifications & Skills Educational Qualification - Bachelor's Degree in Engineering, Statistics, Mathematics, Economics, Data Science, Computer Science, or related disciplines. - Master's Degree / MBA / PGDM preferred