Data Scientist

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 from senior team members
• Help assess the validity of algorithmic solutions relative to business constraints
• Communicate results clearly in written and verbal formats

 What You’ll Need to Succeed

• Bachelor's degree required and nice to have a  Masters’ or PhD  a quantitative field (Statistics, CS, Mathematics, Actuarial Science, Economics, or similar)
• 1-3 years in a ML/AI development role ,building and deploying ML/AI models in production
• Strong hands-on experience with both classical ML (GLMs, LightGBM, XGBoost etc ) and modern NLP (BERT, embeddings, LLMs, Hugging Face, RAG) for modelling both structured & unstructured datasets(tabular, text, document and images)
• Strong Python & SQL skills and familiarity with cloud/ML platforms (Databricks, Azure)
• Experience with model governance, MLOps, performance monitoring.
• Prior experience in P&C insurance pricing, claims, underwriting, or fraud is strongly preferred
• Excellent analytical, quantitative, and critical thinking skills. Strong business judgment for choosing the simplest model that solves the problem and knowing when to reach for more sophisticated approaches.
• Outstanding communication and collaboration skills to engage stakeholders, frame ambiguous problems, and translate technical results into business decisions.
• Knowledge of financial theory or insurance modelling is an asset

If you're ready to be a core part of our mission and make a tangible impact from day one, we want to hear from you.

#LI-Hybrid

The expected base salary range for this position is $64,500 - $114,500. Depending on your relevant experience, skills, qualifications, market conditions and business needs, base compensation may vary. You have the potential to earn more through Gore Mutual’s discretionary bonus program which gives you an opportunity to increase your total compensation, provided the business meets its performance targets and you meet your individual goals.

Please note: This range reflects the expected base salary for this role but may not represent the full compensation range for all experience and skill levels. During the recruitment process, we will discuss and consider how your unique qualifications align with the broader range for this position.

Gore Mutual is proud to offer a comprehensive total rewards package which includes extended health and dental benefits, disability insurance, retirement plan matching, paid time off, recognition and perk programs.