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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.