Build actuarial systems with WorkSafeBC using Python, SQL, and machine learning in a hybrid Richmond, BC co-op placement. Apply analytical skills to complex data and business requirements. This eight-month temporary chance supports WorkSafeBC’s Actuarial Services department, with possible extension to twelve months. You will assist with system development while applying post-secondary learning in Computer Science, Actuarial studies, Statistics, or a related area. The work includes data engineering, modeling, documentation, and communication with technical and business stakeholders. Key Responsibilities: Gather and document business requirements
Analyze complex data and suggest feature engineering
Research industry machine learning models




Develop Python machine learning models with project teams
Prepare clear business documents and presentations
Requirements: Current post-secondary enrollment in a related program
Strong Python, SQL, and analytical skills
Working knowledge of ETL and analytics data modeling
Effective written and verbal communication
Eligibility for work-integrated learning participation
Bring Python development, data analysis, and actuarial curiosity to WorkSafeBC’s Richmond-based hybrid system project.

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📌 Actuarial Machine Learning Co-op Student (British Columbia)
🏢 WorkSafeBC
📍 British Columbia