Insurance Data Science Manager

Key Responsibilities

• Build and deploy predictive models, machine learning solutions, and customer analytics use cases.
• Manage the full analytics lifecycle: data extraction, modelling, deployment, monitoring, and optimization.
• Generate customer insights and identify growth opportunities from CRM, campaign, digital, and customer data.
• Develop A/B testing frameworks and measure business impact.
• Partner with business stakeholders to solve problems and deliver actionable insights.
• Present findings and recommendations to senior management and business teams.

Requirements

• Degree in Data Science, Statistics, Computer Science, or related field.
• 5+ years of experience in Data Science, Customer Analytics, CRM Analytics, or Marketing Analytics.
• Experience in Insurance or Banking preferred.
• Strong Python, SQL, data modelling, and machine learning skills.
• Strong stakeholder management and communication skills.

Ideal backgrounds: Data Science Manager, Customer Analytics Manager, CRM/Marketing Analytics Manager, Decision Science Manager, or Senior Data Scientist with customer-focused analytics experience.