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

Valuable-to-Have Skills
Health or Life Insurance domain expertise
Optimization techniques
Databricks
Apache Spark
MLOps

📌 Senior Data Scientist Bengaluru
🏢 TheMathCompany
📍 Bengaluru