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The Data Scientist leads and supports the development and delivery of high-quality analytical solutions within Enterprise Fraud. The Data Scientist reports to the Director of Enterprise Fraud as a key member of a high-performing fraud analytics team focused on using data-driven decision making to solve business problems.

• Employ a full suite of technical capabilities to perform advanced statistical modeling, machine learning, and data mining techniques to identify and prevent fraudulent activities.
• Propose innovative approaches to improve fraud detection methodologies and actively contribute to the adoption of cutting-edge techniques within the team.
• Independently prepare and present high-quality deliverables, including data visualizations and model interpretations, to communicate project insights to director/executive-level audiences, influencing strategic decision-making related to fraud mitigation.
• Collaborate in the development of analytical solutions for fraud detection, providing support to team members. This includes mentoring and knowledge sharing.
• Continuously research and evaluate state-of-the-art analytical techniques and tools relevant to fraud detection, sharing knowledge and best practices with team members.

• University degree in data science, statistics, computer science, operations research, or a related discipline.
• Preference to individuals with significant technical expertise gained through analytics self-study.
• Competence in most major areas of data science/analytics including data wrangling, data visualization, predictive modelling, statistics, machine learning, big data analytics, geospatial analytics, and optimization.
• Proven track record of developing integrated, creative analytical solutions in a business context.
• Demonstrated competence in Python, including experience with ensemble methods (e.g., XGBoost, Gradient Boosting) for classification and regression tasks, clustering algorithms (e.g., K-means, DBSCAN), and dimensionality reduction techniques (e.g., PCA, t-SNE).
• Strong understanding of model evaluation metrics (precision, recall, F1-score, AUC-ROC) is required.
• Intermediate understanding of SQL techniques and data modeling.
• Good project management, communication, and problem-solving skills.
• Experience guiding and coaching more junior staff members.

• Hybrid work schedule for most roles.
• Company share ownership program.
• 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.

• 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.