Using state-of-the-art predictive modelling techniques (GLM, GBM, …) to refine segmentation models and underwriting rules for the general insurance automobile and residential products for the TD Insurance Canadian market
Provide expertise on mathematical concepts for the broader analytics team and inspire the adoption of advanced analytics and machine learning across the organization
Keep current on emerging trends/ developments and grow knowledge of the business, related tools and techniques
Pushing forward the knowledge of the client's expected risk and profitability to the business by leveraging insight and making data-driven decisions
Execution and presentation of numerous underwriting analyses aiming to support growth and profitability objectives of TD Insurance
Development and maintenance of tools to monitor the evolution of our portfolio
Collaboration with numerous departments within the organization (Underwriting, Underwriting Strategy, Pricing, Product, DAI, Risk Management, Client Service Center, etc.)

Bachelor’s or master's degree in Statistics, Mathematics, Actuarial Science, Computer science, predictive models
3+ years work experience in an industry setting
Analytical mind and ability to make sound decisions
Good organizational and time management skills
Highly adaptable to changing situations
Programming skills (SAS, VBA, Python, R, etc.) and knowledge of Microsoft Office Suite
Deep understanding of a broad spectrum of modern machine learning techniques and their practical applications
Experience in the insurance industry would be an asset
Effective written and oral communication skills in English and French (an asset).

Data Scientist I

Key skills