Data Scientist

Role: Data Scientist(AI/ML)

Experience: 5 to 9 Yeras Location : Chennai

Key Responsibilities 1.

Model Development (Requires 3–5 years of experience): Design, build, and deploy end-to-end machine learning models on Google Cloud Platform (GCP) to predict loss ratios and identify high-utilization contracts at the VIN level. 2.

Data Engineering & Feature Creation: Ingest and transform high-volume historical claims data from OWS and enterprise source systems; engineer robust features that capture granular risk factors. 3.

Advanced Analytics : Apply statistical modeling and ML algorithms (regression, gradient boosting, etc.) to drive proactive risk assessment and dynamic product pricing. 4.

Stakeholder Collaboration: Partner with business analysts and product teams to translate model outputs into actionable financial forecasting and strategic claim adjudication workflows. 5.

Operationalization : Ensure model scalability and performance monitoring, contributing to a framework designed for future expansion across global markets.

Required Technical Skills 1. Cloud Proficiency: Hands-on experience with

Google Cloud Platform (GCP)—specifically BigQuery, Vertex AI, and Cloud Composer. 2. Core Data Science:

Strong proficiency in Python/PySpark for data manipulation and model building (Scikit-Learn, XGBoost, LightGBM, or TensorFlow). 3. Database Expertise: Advanced

SQL skills for complex data retrieval, aggregation, and performance optimization within large datasets. 4. Model Lifecycle: Demonstrated experience in the

full ML lifecycle: data cleaning, feature engineering, model training, validation, and deployment (MLOps).