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via Greenhouse · 17 September 2026 ·2 days ago

Director, Data Science

goremutualinsurance

Cambridge

This listing is from Greenhouse

View original listing ↗

<div class="content-intro"> 
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.</div><span data-ccp-charstyle="hbvzbc" data-ccp-charstyle-defn="{"ObjectId":"1172bb44-9255-533c-a4b1-9d7df5904b6c|1","ClassId":1073872969,"Properties":[469777841,"Times New Roman",469777842,"Times New Roman",469777843,"Times New Roman",469777844,"Times New Roman",469769226,"Times New Roman",469775450,"hbvzbc",201340122,"1",134233614,"true",469778129,"hbvzbc",335572020,"1",469778324,"Default Paragraph Font"]}">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 
<ul>
<li>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 </li>
<li><span data-ccp-charstyle="wbzude" data-ccp-charstyle-defn="{"ObjectId":"9bd681c4-55f3-5d6c-b9ee-54bcbe8d6169|1","ClassId":1073872969,"Properties":[469777841,"Times New Roman",469777842,"Times New Roman",469777843,"Times New Roman",469777844,"Times New Roman",469769226,"Times New Roman",469775450,"wbzude",201340122,"1",134233614,"true",469778129,"wbzude",335572020,"1",469778324,"Default Paragraph Font"]}">Developing and maintaining predictive models using advanced ML/AI techniques. Building Supervised and unsupervised learning models LLM workflows and agents. </li>
<li>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 </li>
<li>Define metrics to measure the impact of AI initiatives on business outcomes. </li>
</ul>
Model Maintenance, Governance & Validation 
<ul>
<li><span data-ccp-charstyle="wbzude" data-ccp-charstyle-defn="{"ObjectId":"9bd681c4-55f3-5d6c-b9ee-54bcbe8d6169|1","ClassId":1073872969,"Properties":[469777841,"Times New Roman",469777842,"Times New Roman",469777843,"Times New Roman",469777844,"Times New Roman",469769226,"Times New Roman",469775450,"wbzude",201340122,"1",134233614,"true",469778129,"wbzude",335572020,"1",469778324,"Default Paragraph Font"]}">Design detailed validation plans and perform quantitative, conceptual and technical assessment of models; Discuss and effectively communicate validation observations and findings with teams. </li>
<li>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 </li>
<li>Continuously monitor and improve the performance of AI models, ensuring their accuracy, reliability, scalability, and ethical application. Includes<span data-ccp-charstyle="hbvzbc" data-ccp-charstyle-defn="{"ObjectId":"1172bb44-9255-533c-a4b1-9d7df5904b6c|1","ClassId":1073872969,"Properties":[469777841,"Times New Roman",469777842,"Times New Roman",469777843,"Times New Roman",469777844,"Times New Roman",469769226,"Times New Roman",469775450,"hbvzbc",201340122,"1",134233614,"true",469778129,"hbvzbc",335572020,"1",469778324,"Default Paragraph Font"]}"> optimization of our end-to-end machine learning pipelines, scaling, automating, and monitoring our predictive models and pipelines. </li>
<li>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. </li>
</ul>
Leadership & Cross-Functional Collaboration 
<ul>
<li>Lead a team of data scientists to develop, plan, and execute multiple analytical projects creating and delivering high quality AI and analytical <span data-ccp-

This listing is from Greenhouse. View original listing ↗

Director, Data Science

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