Director, Data Science in Cambridge

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 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. Responsibilities include:

• 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 manage 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.
• Defining metrics to measure the impact of AI initiatives on business outcomes.
• Model maintenance, governance & validation, including designing detailed validation plans and performing quantitative, conceptual and technical assessment of models.
• 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 monitoring and improving the performance of AI models, ensuring their accuracy, reliability, scalability, and ethical application.
• Providing strategic direction on compliance for the design, development, and implementation of AI models into operational workflows.
• Guiding AI teams with project planning, system architecture, risk management, verification & validation, and continuous monitoring.
• Leading 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 helping the business conduct business problem opportunities and assessments identifying revenue generation and cost saving opportunities.
• Advocating and advancing modern, Agile solution delivery practices.
• Driving change within the team and across broader Data & Analytics.
• Guiding project teams in synthesizing analytical findings for consumption by internal analytical clients and business executives.
• Creating 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.
• Conceptualizing, designing and executing an ambitious data science, ML and AI roadmap.
• Owning the business outcomes, KPIs and deliverables of that roadmap working across stakeholders.
• Identifying and defining new strategic ML opportunities and working with cross functional teams to understand business requirements.
• Staying current with the latest advancements in Agentic/AI/ML solutions and evaluating their applicability to Gore.
• Developing strategic relationships and partnerships with the startup, academia, and industry ecosystem.
• Fostering a culture of innovation by encouraging research, experimentation and exploration of novel AI techniques.

What skills will you need:

• Minimum Master’s 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 experience with a minimum of 8 years of relevant professional experience, 4+ years of leading a team in developing and implementing AI/ML solutions.
• 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.
• Deep expertise in developing and maintaining predictive models using advanced ML/AI techniques.
• Proficiency in building supervised learning models and unsupervised learning models.
• Deep knowledge and hands-on experience in Machine Learning, Data Science, and Agentic AI.
• Experience in building Deep neural networks and use of AI/Deep Learning frameworks.
• Experience with cloud platforms such as AWS, Google Cloud, or Azure.
• Proficiency in SQL, Python, Pandas, Numpy, Scikit-learn, TensorFlow, PyTorch.
• 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.
• Proven ability to translate complex data findings into actionable business strategies.
• Deep understanding of the complexities and tradeoffs of leveraging/deploying ML/AI at scale.
• A passion for AI/ML and fostering a team of AI/ML and business experts.
• An analytical mindset, be a self-starter, comfortable with ambiguity, detail-oriented and have a desire to work in a fast-paced, cross-functional environment.

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.