Senior Data Scientist

Role Overview

• Lead delivery of advanced analytics and machine learning solutions for a large-scale transformation program within insurance practice.
• Bridge business objectives, data science execution, and delivery excellence.
• Remain deeply involved in model development and technical design.
• Coordinate with offshore team to ensure delivery quality.

Requirements

• 5 – 8 years of experience in advanced analytics / data science
• Insurance domain experience (P&C, Life, Health, Group Benefits, or Claims) strongly preferred.
• Proven experience delivering end-to-end ML solutions in production environments
• Strong hands-on experience in Python (pandas, scikit-learn, XGBoost / LightGBM, etc.)
• Statistical modeling and ML algorithms (classification, regression, segmentation)
• Deep understanding of feature engineering on transactional / behavioral data
• Imbalanced classification techniques
• Model evaluation, stability, and drift monitoring
• Experience working with SQL and large-scale datasets

Tech Stack

• Pandas
• Python
• Scikit-Learn
• SQL

Benefits

• Health insurance
• Retirement plans
• Paid time off
• Flexible work arrangements
• Professional development