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About the Role

Join a fast-growing Canadian P&C insurer to advance the Actuarial Services function. You will build next-generation predictive analytics solutions using machine learning and AI to transform raw data into actionable business insights, contributing directly to core operations like pricing, underwriting, and claims.

Responsibilities

• Deliver value through algorithm and model-driven insights using classification, regression, and clustering.
• Apply ML/AI algorithms in a business context under senior guidance.
• Design and apply optimization solutions given specific constraints.
• Extract data from relational and distributed databases using SQL and PySpark.
• Assist engineering partners in building automated data pipelines for model delivery.
• Support the deployment of machine learning models into production environments using CI/CD and MLOps practices.
• Develop models through advanced feature engineering using tools like MLflow and Databricks.
• Integrate ML/AI algorithms into core claims functions.
• Assist in designing prototypes, analyses, and visualizations.
• Interact with business stakeholders to gather requirements and ensure the validity of proposed solutions.
• Communicate technical results clearly in written and verbal formats.

Requirements

• Bachelor's degree in a quantitative field such as Statistics, CS, Mathematics, Actuarial Science, or Economics.
• 1-3 years of experience in an ML/AI development role building and deploying models in production.
• Strong hands-on experience with classical ML (GLMs, LightGBM, XGBoost) and modern NLP (BERT, embeddings, LLMs, Hugging Face, RAG).
• Strong Python and SQL skills.
• Familiarity with cloud/ML platforms such as Databricks and Azure.
• Experience with model governance, MLOps, and performance monitoring.
• Excellent analytical, quantitative, and critical thinking skills.
• Outstanding communication and collaboration skills.

Skills

• Machine Learning
• Artificial Intelligence
• Python
• SQL
• PySpark
• Databricks
• Azure
• MLOps
• NLP
• Feature Engineering
• Optimization
• Predictive Analytics

Location

• Ontario, Canada
• Western Canada

Work Type

• Hybrid

Experience Level

• 1-3 years

Education Level

• Bachelor's degree
• Master's degree (preferred)
• PhD (preferred)

Salary/Compensations

• $64,500 - $114,500

Benefits

• Discretionary bonus program
• Extended health benefits
• Dental benefits
• Disability insurance
• Retirement plan matching
• Paid time off
• Recognition and perk programs

About the Company

• Gore Mutual is a modern mutual insurance company.
• Part of Beneva, the country's largest mutual insurance company.
• Focuses on Property & Casualty operations in Ontario and Western Canada.
• Combining operations with Unica Insurance to increase scale and stability.

Equal Opportunity

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