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Added 1 month ago
A
Specialist, Compliance
API
Edmonton, AB
- Full-time
Coordinate with Validation, Engineering, Production, QA, and Technical Operations to ensure qualification activities are appropriately linked to approved procedures, equipment status,…
Added 1 month ago
PX
Senior Machine Learning Engineer –AI & Agentic Systems
Project X
Toronto, ON
- Full-time
Project X Ltd. is seeking a Staff-level, hands-on software and ML engineering professional for an embedded, client-facing engagement supporting a team that automates marketing decisions and…
Added 1 month ago
HC
Account Manager
Hanes Companies
Surrey, BC
- Full-time
…solutions to delivering value through geosynthetic products and systems. Success in this role requires strong relationship-building skills, technical aptitude, and a proactive,…
Added 1 month ago
UO
Canada Impact+ Emerging Leader in AI-based Protein Modeling and Design
University of British Columbia
Vancouver, BC · UBCV | Michael Smith Laboratories (MSL)
- Full-time
…new Centre for Applied Protein Design (CAPD), Canada's Immuno-Engineering and Biomanufacturing Hub (CIEBH), the Centre for AI Decision-making and Action (CAIDA), and internationally…
Added 1 month ago
P
Central Logistics Hub Manager (Construction)
PACT
Mississauga, ON
- Full-time
…managing safety, security, personnel, fleet, deliveries, security systems, facilities, and operational information across the PACT…
Added 1 month ago
CS
IT Analyst & IT Graduates
Canadian Security Intelligence Service (CSIS) | Service canadien du renseignement de sécurité (SCRS)
Ottawa, ON
- Full-time
Added 1 month ago
BH
Distribution Planning Senior Engineer
BC Hydro
Burnaby, BC
- $109,700 to $138,700 CAD / year
- Full-time
Electrical engineering degree (preferably power systems) or equivalent recognized by Canadian universities.
Added 1 month ago
CS
IT Analyst & IT Graduates
Canadian Security Intelligence Service (CSIS) | Service canadien du renseignement de sécurité (SCRS)
Gatineau, QC
- Full-time
Added 1 month ago
J
Data Analyst - Portfolio Performance & Optimization
Jule
Toronto, ON
- Full-time
We design and manufacture our own charging and battery systems, develop the software that manages them, and operate our own charging network. Our work spans hardware, firmware, cloud…
Added 1 month ago
A
Software Developer - Dev Ops
Aplin
Winnipeg, MB
- Full-time
At Aplin - together with our brands CompuStaff, Impact Recruitment, and Vantix Systems - we connect great people with great organizations across North America. We believe diverse teams…
Added 1 month ago
MH
Branch Administrator (Calgary, AB)
Marmon Holdings, Inc.
Calgary, AB
- Full-time
Experience with unionized payroll environments, Fleet Cost & Care (FCC), or other ERP systems preferred.
Added 1 month ago
MH
Branch Administrator (Calgary, AB)
Marmon Holdings, Inc.
Calgary, AB
- Full-time
Experience with unionized payroll environments, Fleet Cost & Care (FCC), or other ERP systems preferred.
Added 1 month ago
Engineering Designer, Urban and Riverine Syst
R.V. Anderson Associates Limited
Toronto, ON
We are looking for an enthusiastic Engineering Designer to join our Urban & Riverine Systems team on a full-time basis in our Toronto office.
Added 1 month ago
Engineering Designer, Urban and Riverine Syst
R.V. Anderson Associates Limited
Vancouver, BC
RVA is looking for an Engineer-in-Training to join our Urban & Riverine Systems team in our Vancouver office.
Added 1 month ago
RA
Project Engineer, Urban and Riverine Systems
R.V. Anderson Associates Limited
Toronto, ON
- Full-time
RVA is looking for a Project Engineer to join our Urban and Riverine Systems team in our Toronto office.
Added 1 month ago
Commercial Transport Mechanic
Vail Resorts
Whistler, BC
Trouble shooting of mechanical and electrical systems on various equipment.
Added 1 month ago
AW
Senior Data Engineer, Temporary
Aviso Wealth
Remote, Canada
- Temporary
- Remote
Reporting to the Sr Director, Data Platform Delivery and Engineering, the Data Engineer is responsible for designing, building, and collaborating with Development, Security, and TSP Ops…
Added 1 month ago
AW
Senior Data Engineer, Temporary
Aviso Wealth
Remote, Canada
- Temporary
- Remote
Reporting to the Sr Director, Data Platform Delivery and Engineering, the Data Engineer is responsible for designing, building, and collaborating with Development, Security, and TSP Ops…
Added 1 month ago
G
Dév. logiciel sénior / Senior Software Dev. - C# / REST APIs & API Modernization
Genetec
Remote, Canada
- Full-time
- Remote
We're looking for a Senior Software Developer specialized in C# and REST API design. Your mandate will be twofold: build the company's new integration services in ASP.NET Core and Azure,…
Added 1 month ago
Director, Data Science
Gore Mutual Insurance
Cambridge, ON · Toronto, ON
…programming, visualization methods and technologies, and data engineering /…
Added 1 month ago
Senior / Staff Product Manager - IoT Connected Devices
Motive
Vancouver, BC
You will operate as a peer to Electrical Engineering, Embedded/Firmware, Mechanical, Quality, Manufacturing, Supply Chain, and TPM, and collaborate with the cloud and mobile teams that…
Added 1 month ago
SG
Site Maintenance Supervisor
Skeena Gold + Silver
BC
- $59 CAD / hour
- Full-time
…site services functions including facilities, utilities, water systems, fuel systems, waste management, power generation, and mobile infrastructure support. The Supervisor ensures that…
Added 1 month ago
SG
Mine Water Treatment Plant Operator
Skeena Gold + Silver
BC
- $45 CAD / hour
- Full-time
Perform daily inspections and monitoring of the MWTP, including pumps, tanks, piping, chemical systems, Geotubes, and associated equipment
Added 1 month ago
MI
Operator, Production
Magna International
Mississauga, ON
- Full-time
Magna is an innovative leader in the development and manufacturing of high quality complete seating systems. Our solution includes seating structures, mechanisms and hardware, as well as…
Added 1 month ago
MI
Operator, Production (Auxilary/TPT)
Magna International
Mississauga, ON
- Full-time
Magna is an innovative leader in the development and manufacturing of high quality complete seating systems. Our solution includes seating structures, mechanisms and hardware, as well as…

Gore Mutual Insurance

Director, Data Science

Cambridge, ON, Canada
Toronto, ON, Canada

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Job details

Posting language: English
Posted: Sep 17, 2026

Original job description

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.

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 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 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.

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 us and 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.

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More about this job

Responsibilities

The Director of Data Science will lead a team of data scientists to develop and deploy AI/ML solutions that drive business growth and operational efficiency. This role is responsible for shaping the data science strategy, managing end-to-end model lifecycles, and fostering cross-functional collaboration to solve complex business problems.

Requirements

Candidates must hold a Master's degree or Ph.D. in a technical or analytical field and possess over 10 years of professional experience, including at least 4 years in a leadership capacity. Proficiency in advanced machine learning techniques, predictive modeling, and cloud-based MLOps is essential for this role.

Skills

Data Science
Machine Learning
Artificial Intelligence
Leadership
Predictive Modeling
Python
SQL
LLM
Agentic Workflows
Statistics
MLOps
Cloud Platforms
Strategic Planning
Data Engineering
Communication
Risk Management

Visa sponsorship

Not detected in the job text

Keywords

Data Science
Machine Learning
Artificial Intelligence
LLM
Agentic AI
Predictive Modeling
Python
SQL
AWS
Google Cloud
Azure
TensorFlow
PyTorch
MLOps
Statistics
Data Engineering
Insurance
Risk Management
Fraud Detection
Underwriting
Agile
Leadership
Strategy
Data Governance
Neural Networks
NLP
Optimization
Business Intelligence
Analytics
Compliance

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