Director, Data Science
About this role
Gore Mutual Insurance is building a modern data science and advanced analytics capability to transform the insurance industry across Ontario and Western Canada. The Director of Data Science will lead a team of high-performing data scientists delivering measured value through AI and machine learning use cases that span risk assessment, pricing, and fraud detection. This leadership position shapes the organizational growth strategy through empirical studies, experimentation, and the deployment of advanced predictive models, large language model workflows, and agentic systems.
The person stepping into this role will direct end-to-end model development, oversee analytics infrastructure, and ensure strict adherence to model governance, validation frameworks, and ethical AI standards. Success in this position requires a blend of strategic vision, consulting expertise, and technical depth in statistics and machine learning. Candidates who thrive here are analytically rigorous, resourceful, and capable of translating complex analytical findings into compelling narratives for business executives.
What you will do
- Manage end-to-end data science projects from problem definition and experimental design to model building, production deployment, and ongoing monitoring.
- Develop and maintain supervised and unsupervised machine learning models, predictive algorithms, large language model workflows, and autonomous agents.
- Design comprehensive validation plans and perform quantitative and conceptual assessments of models to ensure accuracy, reliability, and security.
- Lead, mentor, and guide a team of data scientists in project planning, system architecture, risk management, and continuous improvement.
- Collaborate with cross-functional partners to identify revenue generation and cost-saving opportunities through data-driven business solutions.
- Formulate the advanced analytics strategy while ensuring all technology solutions comply with enterprise AI/ML standards, risk frameworks, and ethical guidelines.
What you need
- Hold a Master's degree or Ph.D. in a quantitative field such as Computer Science, Physics, Economics, Data Science, Operations Research, Machine Learning, or Engineering.
- Possess over 10 years of total professional experience, including a minimum of 8 years in relevant analytics roles and at least 4 years leading teams that build and implement AI and machine learning solutions.
- Demonstrate extensive experience in building, deploying, and managing production-ready generative models and machine learning models.
- Bring foundational and applied knowledge of statistical analyses, predictive modeling, optimization, natural language processing, large language models, and agentic workflows.
- Exhibit deep expertise in developing supervised learning models including classification and regression tree-based techniques.
Skills and tech stack
Questions candidates ask
What is the primary focus of the data science team?
The team focuses on delivering measured value through AI and machine learning use cases that span all aspects of Gore, including risk assessment, underwriting improvement, fraud detection, and pricing optimization.
What level of leadership and technical experience is required?
Candidates must have over 10 years of experience with at least 8 years of relevant professional experience, including 4 or more years leading a team in developing and implementing AI and machine learning solutions.
What educational background is expected for this role?
A minimum of a Master's degree is required, with a Ph.D. highly preferred in a technology or analytical field such as Computer Science, Physics, Economics, Data Science, Operations Research, Machine Learning, or Engineering.
The application is on the official Gore Mutual Insurance careers page.
Apply on company site