- 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 explicit 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 strong 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

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