Director, Data Science

At Gore Mutual, we’ve always set ourselves apart as a modern mutual that does good. Now, we’re proudly building on that legacy to transform our company—and our industry—for the better.

Effective January 1, 2026, Gore has joined Beneva—the country’s largest mutual insurance company—as part of its Property & Casualty operations in Ontario and Western Canada. During 2026, Gore will combine its operations with Unica Insurance, Beneva’s Ontario-based subsidiary specializing in niche commercial and personal insurance, creating a stronger, more diversified mutual insurer with greater scale and long-term stability.

Every decision and investment remains anchored in long-term benefits to customers, members, and communities. Come join us.

This leadership position requires a unique combination of techn ical expe rtise , strategic thinking, and innovatio n to lev erage data and advanced analytics solutions that drive business growth, enhance operational efficiency, and ensure regulatory compliance. This role will lead a team of data scientists focused on delivering measured value through AI/ML use cases that span across all aspects of Gore.

You will lead and mentor a team of high performing data scientists and shape our growth strategy through empirical studies and experimentation. This role is resourceful, analytically rigorous, with extensive experience leading data science teams and a passion for solving product problems.

This role is a mix of consulting know‑how (problem solving, thought leadership, communication), analytical proficiency in statistics, data science and machine learning, agentic workflows, and, when required, hands‑on proficiency in SQL/Python programming, visualization methods and technologies, and data engineering / infrastructure.

This role is responsible for leveraging data science to assess risks, improve underwriting, detect fraud, and optimize pricing models while unlocking valuable insights, optimize processes, and inform decision‑making. By implementing advanced analytics and ensuring data integrity, this role enables the organization to make informed decisions, streamline operations, and ultimately provide better coverage and services to policyholders while managing risks effectively.

• Managing a data science project from end-to-end, including collaborating with partners and stakeholders to understand the business problem, obtaining data, defining an experimental design, setting up a model building pipeline, overseeing a team of data scientists to build necessary models, and working with a team of developers to implement models and managing a monitoring process
• D eveloping and maintaining predictive models using advanced ML/ AI techniques. B uilding Supervised and unsupervised learning models LLM workflows and agents .
• overseeing the development of analytical products and machine learning models, AI models, LLM workflows and agents, building and enabling analytics infrastructure including production model deployment, as well as Non Prod experimentation, deployment and testing
• Define metrics to measure the impact of AI initiatives on business outcomes.

• Design detailed validation plans and perform quantitative, conceptual and technical assessment of models;
  Discuss and effectively communicate validation observations and findings with teams .
• Accountable for the integration of AI solutions, application deployment in production including, app health, resiliency, performance, security, enterprise data management standards, ethical and privacy standards
• Continuously monitor and improve the performance of AI models, ensuring their accuracy, reliability, scalability, and ethical application . Includes optimization of our…