Participate in developing fraud detection, anti-money laundering, and claim automation products
Work with structured data, free text, documents, and images
Implement data engineering from client extracts to insertion into SQL and ElasticSearch data stores
Develop, test, tune, and productionize models for fraud detection and automation detection in complex environments
Automate key business tasks in the production process framework using C#
Conduct client meetings and interact with external stakeholders
Gather user feedback, present business cases, and define product evolution roadmaps
Requirements 2+ years of experience in C# and SQL
Production-quality, maintainable coding skills
Degree in machine learning and/or statistics, or clear understanding of statistics and machine learning problems, tasks, and common resolutions
Comfortable communicating with clients regularly
Interest in learning and mastering the business aspects of insurance products




Core Competencies Demonstrates expertise in C# and SQL for developing fraud detection and automation products, with a solid foundation in machine learning and statistics. Capable of engaging with clients and stakeholders to gather feedback and define product roadmaps.
Highest-signal resume keywords C# Programming
SQL Database Management
Machine Learning Understanding
Data Engineering
Client Communication
ATS Optimization Keywords Hard Skills C#
SQL
Data Engineering
Machine Learning
Statistics
Model Development
Automation
Production Coding
Data Tuning
Fraud Detection
Soft Skills Client Interaction
Feedback Gathering
Presentation Skills
Stakeholder Engagement
Learning Agility
Industry Keywords Fraud Detection
Anti-Money Laundering
Claim Automation
Insurance Products
Tools & Technologies ElasticSearch

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📌 Applied Data Scientist/Engineer (Ontario)
🏢 Jobtailor
📍 Ontario