Senior Data Specialist, Enterprise Fraud Analytics

The Opportunity

Reporting to the Manager, Enterprise Fraud, the Senior Data Specialist, is a core member of the Enterprise Fraud Analytics team. This role focuses on designing, training, and evaluating advanced machine learning models and predictive analytics to detect and prevent insurance fraud. The candidate will also support Enterprise Fraud strategic priorities and support Fraud Savings initiatives.

Operating in a highly collaborative environment, this role works alongside Business Analysts and the Special Investigations Unit (SIU). The Senior Data Specialist will leverage Google Cloud Platform (GCP) to extract predictive signals from claims, policy, and third-party data and build internal data infrastructure for fraud intelligence and model training. This role is critical in transforming complex fraud detection requirements into robust datasets and extracting predictive signals from structured and unstructured data, ensuring mathematical rigor, sound model evaluation, and explainability of AI solutions.

What to Expect

• Design, train, and iterate on machine learning models and AI solutions to identify fraudulent behavior and anomalies. Utilize a variety of supervised and unsupervised techniques (e.g., classification, clustering, anomaly detection) on structured and unstructured datasets to build robust fraud detection algorithms. Focus on Natural Language Processing (NLP), Generative AI, and Agentic workflows to extract actionable fraud indicators.
  Conduct rigorous model evaluation (precision, recall, FPR) and threshold tuning. Champion Explainable AI (XAI) by utilizing methods like SHAP values or LLM reasoning traces to ensure model outputs are transparent, interpretable, and trusted by non-technical SIU investigators.
• 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 to improve the operational efficiency of the analytics team.
• Draft technical documentation detailing model architecture, assumptions, limitations, and evaluation metrics. Promote software engineering best practices (version control, CI/CD) and work with compliance teams to ensure AI solutions adhere to data privacy standards (PII/PHI) and algorithmic fairness guidelines.

What you Bring

• University degree in Computer Science, Data Science, Mathematics, Software Engineering, or a related quantitative discipline. (Master’s degree is an asset).
• 2-5 years of professional experience in a relevant role.
• Advanced proficiency in SQL and Python (pandas, scikit-learn) for complex data extraction, data processing, and model development.
• Broad foundational knowledge of machine learning techniques (e.g., tree-based models, regression, clustering, neural networks). Experience with GCP and Vertex AI is a strong asset.
• 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 is an asset.
• Insurance industry knowledge, Fraud Risk Management, and strong business acumen are assets.
• Strong communication (oral/written) and organizational skills. Bilingual in English/French is an asset.

Salary Range: $73,500-$123,500

Actual salary for the role may vary depending on work location of the successful candidate and other factors including but not limited to, skills, education, experience, working conditions and the local labour market.

This position is being posted to fill an existing vacancy.

Interested in this role, but don’t meet every requirement? We encourage you to apply! We know from experience that a candidate doesn’t need 100% of the qualifications listed to bring incredible value to our team. We’re actively seeking diverse backgrounds and perspectives to help us make insurance better. At Definity, inclusion, diversity, and equity aren’t just “nice to have” — they’re essential to our success. 

What’s in it for you?

• Hybrid work schedule for most roles
• Company share ownership program
• Incentive Program - Eligible employees may participate in various incentive plans which are paid out at the discretion of the company and subject to individual and company performance.
• Pension and savings programs, with company-matched RRSP contributions
• Paid volunteer days and company matching on charitable donations
• Educational resources, tuition assistance, and 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

Go ahead and expect a lot — you deserve it.

It’s better here — but don’t take our word for it. Definity was named by Great Place to Work® as one of the Best Workplaces™ in Canada for women, for youth, and for inclusion.

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 [email protected].

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.

Background checks

This role requires successful clearance of background checks (including criminal checks and leadership references).

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