Data Scientist I

About The Company

TD Insurance is a vital part of TD Bank Group, one of Canada's leading financial institutions. With a commitment to providing exceptional financial services, TD Insurance specializes in offering a comprehensive range of insurance products designed to protect Canadian families and individuals from life's unforeseen events. Serving over three million clients, the company delivers its products through multiple channels, including online platforms, telephone services, and a vast network of more than 1,000 TD Canada Trust branches. The organization operates across Canada with offices in Atlantic Canada, Quebec, Ontario, and Alberta, fostering a diverse and inclusive workplace environment. TD Insurance's core focus areas include General Insurance—covering home and auto—and Life and Health Insurance, where it holds a leading position in critical illness, life, and health insurance markets. The company emphasizes professional growth, skill development, and equitable opportunities for all employees, making it a rewarding place to build a career.

About The Role

The TD Insurance AI2 team is seeking a highly skilled Data Scientist I specializing in Underwriting Analytics to join our Montréal office. This role is integral to our mission of leveraging advanced analytical techniques, including machine learning and artificial intelligence, to enhance business intelligence and decision-making processes. The successful candidate will focus on developing, maintaining, and calibrating underwriting models and rules that support risk assessment and portfolio management for our general insurance automobile and residential products in the Canadian market. Collaborating closely with underwriting specialists, actuaries, and cross-functional teams, the Data Scientist I will utilize state-of-the-art predictive modeling techniques such as Generalized Linear Models (GLM) and Gradient Boosting Machines (GBM). The role offers an exciting opportunity to influence underwriting strategies, improve risk segmentation, and support the growth and profitability objectives of TD Insurance. The candidate will also be responsible for providing expertise on mathematical concepts, promoting the adoption of advanced analytics, and developing tools to monitor portfolio evolution.

Qualifications

• Bachelor's or Master's degree in Statistics, Mathematics, Actuarial Science, Computer Science, or related field
• Minimum of 3 years of professional experience in an industry setting, preferably in insurance or financial services
• Proficiency in programming languages such as SAS, VBA, Python, R, or similar tools
• Strong understanding of modern machine learning techniques and their practical applications
• Excellent analytical and decision-making skills
• Effective organizational and time management abilities
• Ability to adapt to changing priorities and environments
• Knowledge of Microsoft Office Suite
• Experience working within the insurance industry is an asset
• Fluent in English; proficiency in French is an asset

Responsibilities

• Develop and refine predictive models using advanced techniques such as GLM and GBM to improve underwriting segmentation and rules for auto and residential insurance products
• Provide expert insights on mathematical and statistical concepts to support the broader analytics team and promote the adoption of innovative analytics solutions across the organization
• Stay current with emerging trends and developments in data science and analytics, continuously growing knowledge of business processes, tools, and techniques
• Leverage data-driven insights to enhance understanding of client risk profiles, profitability, and portfolio performance
• Execute comprehensive underwriting analyses to support strategic growth and profitability initiatives
• Design, develop, and maintain tools for monitoring portfolio evolution and risk assessment
• Collaborate with various departments including Underwriting, Pricing, Product Development, Risk Management, and Client Service to align analytics initiatives with organizational goals
• Present findings and recommendations clearly to stakeholders, facilitating informed decision-making

Benefits

• Competitive salary package ranging from CAD 66,800 to CAD 94,300, commensurate with experience and skills
• Comprehensive health and wellness benefits
• Retirement savings and pension programs
• Paid time off and holiday leave
• Opportunities for professional development and continuous learning
• Inclusive and accessible work environment
• Employee discounts and banking benefits
• Supportive corporate culture emphasizing diversity, equity, and inclusion

Equal Opportunity

TD Insurance is committed to fostering an inclusive, accessible environment where all colleagues are valued and respected. We provide equal employment opportunities to all applicants regardless of race, color, religion, gender identity, sexual orientation, age, disability, or any other protected characteristic. We believe diversity drives innovation and excellence, and we are dedicated to creating a workplace that reflects the communities we serve.

Key skills/competency

• Data Science
• Underwriting Analytics
• Machine Learning
• Predictive Modeling
• Generalized Linear Models (GLM)
• Gradient Boosting Machines (GBM)
• Python
• R
• SAS
• Risk Assessment