Applied Data Scientist / Engineer (Toronto-Hybrid)
Core
Build and deploy AI agents for fraud detection, anti-money laundering, and claim automation in the insurance sector.
Role type
Senior Applied Data Scientist / Data Engineer
Builds
Production AI agents and data pipelines for insurance clients
Domain
Insurance / Financial Services / AI
Deliverable
production ML models | product features
Required skills
C#, SQL, Machine Learning, Statistics, Data Engineering, Model Tuning, Client Communication
Preferred skills
Degree in Machine Learning or Statistics, Experience with structured data, free text, documents, and images
Technologies
C#, SQL, ElasticSearch
Responsibilities
Develop, test, and tune ML models for fraud detection and automation; Implement data engineering pipelines from client extracts to data stores; Automate business tasks within the production framework; Conduct meetings with clients and external stakeholders to present business cases and define roadmaps
Seniority
Mid-Senior, hands-on IC