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 opportunity 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
- Robust 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.

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