Job Opportunities API

  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. Are you driven by data, inspired by innovation, and eager to shape the future of insurance? Join a fast-growing Canadian P&C insurer where you'll play a pivotal role in advancing our Actuarial Services function. We're building on a solid foundation, powered by cutting-edge technology, a robust enterprise data analytics team, and bold investments in AI. With this groundwork in place our talented team is now focused on scaling and refining our capabilities. We're looking for bright, analytical minds to help bring our strategy to life. If you're passionate about solving complex problems and want to explore Pricing, Underwriting, and Claims, we want to hear from you. Data Scientist We're looking for a Data Scientist to join our growing team and build the next generation of predictive analytics solutions. In this role, you won’t just be crunching numbers, you’ll be using machine learning (ML) and artificial intelligence (AI) models to transform raw data into powerful insights that drive our business forward. This is an opportunity to directly contribute to our core operations, working alongside a supportive team who are invested in your growth. If you have a passion for data and a desire to see your work make a tangible impact, this role is for you. What you'll do: Deliver value through algorithm/model driven insight from data:  Working knowledge of algorithm types and their applications (classification, regression, clustering, etc.) Familiarity with modelling architectures and their strengths/limitations (e.g., gradient boosting, clustering, SHAP, LLMs) Experience applying ML/AI algorithms in a business context under guidance from senior team member Basic understanding of optimization concepts (linear, integer, dynamic programming) Experience in design and practical application of optimization solutions in a business setting given certain constraint    Generate data ingestion, model deployment and validation Pull data from various systems using SQL, PySpark, and other standard tools for relational and distributed databases Assist engineering partners in building automated data pipelines for model delivery Support deployment of machine learning models into production environments, including CI/CD workflows and MLOps practices under supervision Create models through advanced data feature engineering Work with feature stores and operational systems to support automated feature development (MLflow, Databricks, etc.) Apply feature transformation techniques to improve model performance across algorithm types Integration of machine learning and AI algorithms into core claims functions Basic understanding of actuarial approaches for loss and pricing estimation (GLM, GAM, Tweedie) Familiarity with pricing, reserving, and regulatory functions in P&C insurance Exposure to actuarial or insurance decision‑support tools (Earnix, Guidewire) is an asset Assist in designing prototypes, analyses, and visualizations incorporating ML/AI models   Interact with business stakeholders to ensure value and validity of proposed solutions Gather business requirements with support fr