Data Scientist I

About The Company

TD Insurance is a vital part of TD Bank Group, one of Canada's largest and most respected financial institutions. With a commitment to providing comprehensive insurance solutions, TD Insurance offers a wide range of products including credit protection, life, health, travel, home, and auto insurance. Serving over three million clients across Canada, the company ensures accessibility through various channels such as online platforms, telephone services, and a vast network of over 1,000 TD Canada Trust branches. TD Insurance operates two primary lines of business: General Insurance and Life and Health Insurance. The General Insurance segment is recognized as a leading provider of home and auto insurance, along with group insurance and affinity marketing, while the Life and Health division is renowned for critical illness, life, and health insurance products.

The organization prides itself on fostering an inclusive, accessible environment that values diversity and professional growth. With a workforce exceeding 4,000 employees across multiple provinces including Atlantic Canada, Quebec, Ontario, and Alberta, TD Insurance offers a dynamic and stable environment where talent is nurtured, and careers are developed. The company's culture emphasizes professional development, equitable opportunities, and rewarding careers, making it an ideal place for individuals seeking meaningful growth in the insurance and financial services sector.

About The Role

The TD Insurance AI2 team is at the forefront of leveraging advanced analytics, machine learning, and artificial intelligence to enhance business insights and decision-making processes. This role focuses on developing, maintaining, and calibrating predictive models that inform risk assessment, underwriting, and portfolio management within TD Insurance. The successful candidate will join the Underwriting Analytics function, a multidisciplinary team comprising actuarial analysts and underwriting specialists dedicated to refining underwriting models, rules, and guidelines. The primary responsibilities include utilizing state-of-the-art predictive modeling techniques such as Generalized Linear Models (GLM), Gradient Boosting Machines (GBM), and other machine learning algorithms to improve segmentation models and underwriting criteria for automobile and residential insurance products in the Canadian market.

The role demands a proactive approach to sharing expertise on mathematical and analytical concepts, inspiring the broader analytics team to adopt innovative solutions, and staying current with emerging trends in data science and AI. The candidate will be instrumental in providing insights that drive growth and profitability, developing tools to monitor portfolio evolution, and collaborating with various departments including underwriting, pricing, product development, risk management, and client service. This position offers an exciting opportunity to influence strategic decisions through data-driven insights and contribute to the ongoing innovation within TD Insurance.

Qualifications

• Bachelor’s or Master’s degree in Statistics, Mathematics, Actuarial Science, Computer Science, or related field
• Minimum of 3 years of work experience in an industry setting, preferably within 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 skills with the ability to make sound decisions based on data insights
• Effective organizational and time management skills
• Highly adaptable to changing business needs and environments
• Experience in developing and maintaining predictive models and risk assessment tools
• Knowledge of insurance industry practices and regulatory guidelines (asset)
• Proficiency in English; knowledge of French is an asset

Responsibilities

• Develop and refine segmentation models and underwriting rules for automobile and residential insurance products using advanced predictive modeling techniques
• Provide expertise on mathematical and statistical concepts to support the broader analytics team and promote the adoption of AI and machine learning solutions across the organization
• Stay informed about emerging trends and advancements in data science, machine learning, and AI to continuously enhance analytical capabilities
• Leverage data insights to improve understanding of client risk profiles, profitability, and portfolio trends
• Execute and present comprehensive underwriting analyses to support growth, risk management, and profitability objectives
• Design and maintain tools to monitor portfolio evolution and identify emerging risks or opportunities
• Collaborate with cross-functional teams including Underwriting, Strategy, Pricing, Product Development, Risk Management, and Customer Service to align analytical initiatives with business needs
• Document methodologies, findings, and recommendations clearly and effectively for stakeholders
• Contribute to a data-driven culture within TD Insurance by sharing best practices and innovative solutions

Benefits

• Competitive salary package aligned with industry standards
• Comprehensive health and dental benefits
• Retirement savings plans and financial wellness programs
• Paid time off and flexible work arrangements
• Opportunities for professional development and continuous learning
• Access to training programs, mentoring, and career advancement pathways
• Employee discounts and banking benefits
• A supportive and inclusive workplace environment that values diversity and work-life balance

Equal Opportunity

TD Insurance is committed to fostering a diverse and inclusive workplace where all colleagues are valued and respected. We are an equal opportunity employer and welcome applications from individuals of all backgrounds, identities, and experiences. We believe that a diverse workforce enhances our ability to serve our clients effectively and innovate continuously.