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Senior Data Specialist, Enterprise Fraud Analytics

Job in Toronto, Ontario, C6A, Canada
Listing for: Socket.dev
Full Time position
Listed on 2026-08-25
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Data Engineering, Data Scientist, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 73500 - 123500 CAD Yearly CAD 73500.00 123500.00 YEAR
Job Description & How to Apply Below

The Opportunity

Reporting to the Manager, Enterprise Fraud, the Senior Data Specialist is a core member of the Enterprise Fraud Analytics team. 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.

Operating in a highly collaborative environment, this role works alongside Business Analysts and the Special Investigations Unit (SIU). The Senior Data Specialist will heavily leverage Google Cloud Platform (GCP), Big Query, Vertex AI, and Gemini. This role is critical in transforming complex fraud detection requirements into robust datasets and extracting predictive signals from unstructured text and claims data, ensuring both architectural scalability and mathematical rigor.

What

to Expect
  • Data Architecture & Pipeline Engineering
    Design, build, and maintain highly scalable ELT/ETL data pipelines using modern cloud infrastructure (GCP, Big Query, GCS). Architect processes to ingest, transform, and integrate large volumes of structured claims data and unstructured third-party data to build the foundational datasets required for advanced fraud analytics.
  • Algorithm Design & AI Model Development
    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 from unstructured SIU data (case notes, medical records) and structured policy data.
  • Model Evaluation & Explainability
    Conduct rigorous offline model evaluation (precision, recall, slice analysis). 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.
  • Exploratory Data Analysis (EDA) & Automation
    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.
  • Governance, Compliance & Best Practices
    Draft comprehensive technical documentation detailing pipeline lineage, model architecture, 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, Software Engineering, or a related quantitative discipline. (Master’s degree is an asset).
  • 3-5 years of professional experience in a relevant role.
  • Advanced proficiency inSQLandPython(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 (Big Query, 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.
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.

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…
Position Requirements
10+ Years work experience
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