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About the Role

This hybrid role bridges the gap between data engineering and data science, focusing on architecting scalable data pipelines and designing advanced AI/ML models to detect and prevent insurance fraud. The candidate will also support Enterprise Fraud strategic priorities and support Fraud Savings initiatives.

Responsibilities

• Design, build, and maintain highly scalable ELT/ETL data pipelines using modern cloud infrastructure (GCP, BigQuery, GCS).
• Architect processes to ingest, transform, and integrate large volumes of structured claims data and unstructured third-party data.
• Design, train, and iterate on predictive machine learning models and AI solutions.
• Focus heavily on Natural Language Processing (NLP) and Generative AI (e.g., prompt engineering with Gemini) to extract actionable fraud indicators.
• Conduct rigorous offline model evaluation (precision, recall, slice analysis).
• Champion Explainable AI (XAI) by utilizing methods like SHAP values or LLM reasoning traces.
• Work closely with SIU stakeholders to understand emerging fraud schemes.
• Conduct in-depth EDA using SQL and Python to assess data feasibility and establish baseline metrics.
• Design and maintain internal automations and scheduled data retrievals.
• Draft comprehensive technical documentation detailing pipeline lineage, model architecture, and evaluation metrics.
• Promote software engineering best practices (version control, CI/CD).
• Work with compliance teams to ensure AI solutions adhere to data privacy standards (PII/PHI) and algorithmic fairness guidelines.

Requirements

• University degree in Computer Science, Data Science, Software Engineering, or a related quantitative discipline.
• 3-5 years of professional experience in a relevant role.
• Advanced proficiency in SQL and Python (pandas, scikit-learn) for complex data extraction, data processing, and/or model development.
• Familiarity in modern cloud data warehousing and ML platforms, with Google Cloud Platform (BigQuery, Vertex AI) and orchestration tools (e.g., Airflow, dbt) strongly preferred.
• Experience with Natural Language Processing (NLP), text classification, and Large Language Models (LLMs) / prompt engineering.
• Strong understanding of the ML lifecycle and version control systems.
• Experience implementing Explainable AI (XAI) techniques to translate complex model decisions to business stakeholders.
• Insurance industry knowledge, Fraud Risk Management, and strong business acumen are assets.
• Strong communication skills (oral/written).
• Bilingual in English/French is an asset.
• Successful clearance of background checks (including criminal checks and leadership references).

Skills

• SQL
• Python
• pandas
• scikit-learn
• Google Cloud Platform (GCP)
• BigQuery
• Vertex AI
• Natural Language Processing (NLP)
• Large Language Models (LLMs)
• prompt engineering
• Explainable AI (XAI)
• SHAP values
• version control
• CI/CD
• Airflow
• dbt

Location

• Hybrid

Work Type

• Hybrid
• Full-time

Experience Level

• 3-5 years

Education Level

• University degree in Computer Science, Data Science, Software Engineering, or a related quantitative discipline
• Master’s degree is an asset

Salary/Compensations

• $73,500-$123,500

Benefits

• Hybrid work schedule
• Company share ownership program
• Incentive Program
• Pension and savings programs
• Company-matched RRSP contributions
• Paid volunteer days
• Company matching on charitable donations
• Educational resources
• Tuition assistance
• Paid time off to study for exams
• Focus on inclusion with employee groups
• Support for gender affirmation surgery
• Access to BIPOC counsellors
• Access to programs for working parents
• Wellness and recognition programs
• Discounts on products and services

About the Company

• Definity is the parent company to some of Canada’s most long-standing and innovative insurance brands, including Economical Insurance, Sonnet Insurance, Family Insurance Solutions, and Petline Insurance.
• Our ambition is to be one of Canada’s leading and most innovative property and casualty insurers.
• We embrace and encourage a culture that’s collaborative, ambitious, rewarding, and empowering.
• We offer a flexible, hybrid work experience where employees work from the office and virtually depending on the type of work they are doing and who they are working with.
• Definity was named by Great Place to Work® as one of the Best Workplaces™ in Canada for women, for youth, and for inclusion.

Equal Opportunity

• Our inclusive work environment welcomes diversity and supports accessibility. If you require accommodation at any time during the recruitment process, please let us know by contacting accessibility@economical.com.
• As part of Definity’s commitment to reconciliation, we acknowledge that our work, meetings, and travel take place on the lands now known as Canada, and recognize the enduring presence, wisdom, and stewardship of the First Nations, Métis, and Inuit peoples who have long cared for these lands.