onsite
Senior Data Scientist - Personal Lines Datahub - Intact
Data Scientist
Senior Data Scientist leading the Personal Lines Datahub, driving advanced analytics, ML model development, and data pipeline optimization using Python, SQL, and AWS services to deliver actionable insights for insurance products.
About the role
Key Responsibilities
- Design, develop, and deploy scalable machine learning models to predict customer behavior and risk for personal lines products.
- Build and maintain robust data pipelines on AWS (Glue, Redshift, S3) to ingest, transform, and store large volumes of structured and unstructured data.
- Collaborate with cross‑functional teams to translate business requirements into analytical solutions and actionable insights.
- Perform advanced statistical analysis and feature engineering to improve model accuracy and interpretability.
- Document model logic, performance metrics, and maintain reproducible codebases using Git and CI/CD workflows.
Requirements
- 5+ years of experience in data science or analytics within the insurance or financial services industry.
- Proficiency in Python (pandas, scikit‑learn, TensorFlow/PyTorch) and SQL for data manipulation and model training.
- Hands‑on experience with AWS data services (Glue, Redshift, S3, SageMaker) and cloud‑based deployment.
- Strong statistical background with expertise in regression, classification, clustering, and time‑series analysis.
- Excellent communication skills and ability to present complex findings to non‑technical stakeholders.
Skills
pythonmachine learningsqlaws