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Senior Data Scientist

Cambridge, Ontario, Canada; Toronto, Ontario, Canada💼 Full-time💰 $79,500–$79,500🗓 2026-06-04 → 2026-07-31

Core

Build predictive analytics solutions using ML/AI to transform raw data into insights for core insurance operations.

Role type

Senior IC machine-learning engineer (insurance)

Builds

ML/AI-powered analyses, decision tools, and visualizations for P&C insurance workflows

Domain

Property & Casualty insurance

Deliverable

production ML models

Required skills

Machine learning model development and deployment, Natural Language Processing (NLP), Python, SQL, Cloud/ML platforms (Databricks, Azure), Model governance and MLOps, Statistical modeling (GLMs, LightGBM, XGBoost)

Preferred skills

P&C insurance domain knowledge (pricing, claims, underwriting, fraud)

Technologies

Databricks, Azure, BERT, Hugging Face, RAG

Responsibilities

Apply ML/AI to solve high-impact business problems, Embed ML models into core business capabilities, Partner with stakeholders to ensure model adoption and integrity, Conduct project-specific research to grow skills

Seniority

Senior, hands-on IC

Rewrite
## Responsibilities - Deliver value through data-driven algorithms and models: You will apply the right mix of ML and AI to solve high-impact business problems. You’ll partner with stakeholders to select and defend the best model architecture and explainability approaches to balance performance, interpretability, and trade-offs. - Embed ML/AI into core business capabilities: You will build deep expertise in P&C insurance workflows and translate that knowledge into practical ML/AI-powered analyses, decision tools, and visualizations that improve how work gets done. - Partner with stakeholders to ensure adoption, value, and model integrity: You’ll align with stakeholders on goals and success metrics, then pressure-test solutions against real constraints to ensure they’re feasible and valuable. You will communicate your insights and recommendations with clarity and confidence to both technical and non-technical audiences. - Invest in Your Future: We're committed to your professional development. You'll engage in project-specific research to continually grow your skills and have the unique opportunity to collaborate with our Claims and Finance departments. ## Requirements - Master's or PhD in a quantitative field (Statistics, CS, Mathematics, Actuarial Science, Economics, or similar) - 5+ years 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 and 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. ## Nice to Have - None specified ## Benefits - Comprehensive total rewards package which includes extended health and dental benefits, disability insurance, retirement plan matching, paid time off, recognition and perk programs. - Potential for discretionary bonus program based on business performance and individual goals. - Hybrid work arrangement available.
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