Director, Data Science

At Gore Mutual weve always set ourselves apart as a modern mutual that does good. Now were proudly building on that legacy to transform our companyand our industryfor the better.

Effective January 1 2026 Gore has joined Benevathe countrys largest mutual insurance companyas part of its Property & Casualty operations in Ontario and Western Canada. During 2026 Gore will combine its operations with Unica Insurance Benevas 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 technical expertise strategic thinking and innovation to leverage 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.

What will you do :

Model Development & Deployment

• 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
• Developing and maintaining predictive models using advanced ML/AI techniques. Building 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.

Model Maintenance Governance & Validation

• 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 end-to-end machine learning pipelines scaling automating and monitoring our predictive models and pipelines.
• Strategic direction on compliance for the design development and implementation of AI models into operational workflows including helping draft and review the procedures that support a compliance system. Responsibilities include guiding AI teams with project planning system architecture risk management verification & validation and continuous monitoring.

Leadership & Cross-Functional Collaboration

• Lead a team of data scientists to develop plan and execute multiple analytical projects creating and delivering high quality AI and analytical solutions across a broad spectrum of projects and business lines.
• Being a change champion and help the business conduct business problem opportunities and assessment identifying revenue generation and cost saving opportunities developing proposals and make recommendations for model usage to the downstream partners.
• Advocates and advances modern Agile solution delivery practices great design engineering and organizational practices challenging the team to utilize creative thinking to modify or select the most suitable procedure/approach to solve a business problem balancing complexity and value.
• Driving change within team and across broader Data & Analytics the importance of learning our business and the respective to help aid in our building the best solutions be a business expert.
• Guide project teams in synthesizing analytical findings for consumption by internal analytical clients and business executives.Excellent communicator who is able to convey complex information in an understandable compelling and persuasive manner to non-technical clients and executives and junior data scientists

Strategy

• Creates the advanced analytics strategy ensuring technology solutions comply with enterprise AI/ML standards model governance and model risk standards and AI Ethics Fairness and Bias related control practices
• Conceptualize design and execute an ambitious data science ML and AI (e.g. LLM and agentic) roadmap
• Own the business outcomes KPIs and deliverables of that roadmap working across stakeholders
• Identify and define new strategic ML opportunities and work with cross functional teams to understand business requirements and guide the team to provide data-driven solutions improving how we do data collection storage experimentation and analysis.

Research & Innovation

• Stay current with the latest advancements in Agentic/AI/ML solutions and evaluate their applicability to Gore
• Develop strategic relationships and partnerships with the startup academia and industry ecosystem to garner mindshare and learnings.
• Foster a culture of innovation by encouraging research experimentation and exploration of novel AI techniques

What skills will you need:

• Minimum Masters degree Ph.D. Highly preferred in a technology/analytical field such as Computer Science Physics Economics Data Science Operations Research Machine Learning Engineering or other relevant scientific fields
• Over 10 years of expereince with a minimum 8 years of relevant professional experience 4 years of leading a team in developing and implementing AI/ML solutions (predictive prescriptive ML etc.)with an excellent understanding of the underlying Statistical Machine Learning theory and Predictive Modeling Lifecycle
• Extensive experience in building deploying and managing production-ready generative models and machine learning models.
• Foundational and applied knowledge of statistical analyses data science and machine learning including but not limited to descriptive inferential or causal statistics predictive and forecast modeling optimization modeling NLP LLM and agentic workflows and A/B testing methods
• Deep expertise in developing and maintaining predictive models using advanced ML/AI techniques. Proficiency in building Supervised learning models (classification and regression) tree-based (Random Forest Stochastic Gradient Boosting and eXtreme Gradient Boosting Decision Trees Extra Trees Regularized Greedy Forests) Generalized Linear Models Discriminant models (LDA MDA FDA and QDA) and Unsupervised learning models (Isolation Forest Clustering algorithms) Reinforcement learning LLMs agentic systems graph and network analysis
• Deep knowledge and hands-on experience in Machine Learning Data Science and AgenticAI including experience with MLOps to build end-to-end pipelines and deploy models in production
• Experience in building Deep neural networks (MLP CNN RNN GRUs and LSTMs) and use of AI/Deep Learning frameworks like TensorFlow PyTorch CNTK and Keras
• Experience with cloud platforms such as AWS Google Cloud or Azure.
• Proficiency in SQL Python Pandas Numpy Scikit-learn TensorFlow PyTorch etc.
• Excellent problem-solving skills strategic thinking and a proactive approach to challenges.
• Exceptional communication skills with the ability to explain complex concepts to a non-technical audience and influence top-tier executives. Proven ability to translate complex data findings into actionable business strategies and drive business growth
• Deep understanding of the complexities and tradeoffs of leveraging/deploying ML/AI at scale
• An ideal candidate will have a passion for AI/ML and to foster a team of AI/ML and business experts and increase the data and analytics literacy with the business. They have an analytical mindset be a self-starter comfortable with ambiguity detail oriented and have desire to work in a fast-paced cross-functional environment while influencing business performance through insights.

#LI-Hybrid

This posting pertains to an existing vacancy that is actively being filled.

Accessibility for applicants

Gore Mutual Insurance Company is committed to providing accommodations for people with disabilities during all phases of the recruiting process including the application process.

If you require accommodation because of a disability we will work with you to meet your needs.Contact usand a human resources representative will consult with you to determine an appropriate accommodation.

Should you request an accommodation during the interview process please notify your Talent Acquisition Consultant.