Senior Data Scientist

Senior Data Scientist - Actuarial & Predictive Analytics

Key Responsibilities

• Develop persistence, retention, and pricing models.
• Build elasticity estimation frameworks.
• Design customer and risk segmentation strategies.
• Develop forecasting and optimization models.
• Conduct hypothesis testing and statistical analyses.
• Collaborate with business stakeholders and underwriters to address business challenges.
• Present analytical findings and recommendations to client teams.
• Mentor and guide junior analysts and data scientists.

Mandatory Skills

Analytics & Data Science

• Advanced Python
• SQL
• Statistical Modeling
• Regression Techniques
• Ensemble Models (XGBoost, Random Forest)

Actuarial / Insurance

• Insurance pricing concepts
• Understanding of loss ratio metrics
• Policy renewal analytics
• Risk segmentation

Consulting & Business Skills

• Problem structuring and analytical thinking
• Stakeholder management
• Data storytelling and presentation skills

Good-to-Have Skills

• Health or Life Insurance domain expertise
• Optimization techniques
• Databricks
• Apache Spark
• MLOps