Use Python and SQL to develop machine learning models for WorkSafeBC’s Actuarial Services department in hybrid Richmond, BC. Analyze data and translate findings into business solutions. This Actuarial Co-op student position has an IT focus and starts in January 2027. The temporary assignment lasts eight months, with possible extension to twelve months. You will work directly with complex data, support system requirements and designs, evaluate model performance, and communicate technical information clearly. The role suits a registered post-secondary student studying Computer Science, Actuarial studies, Statistics, or a related area. Key Responsibilities: Identify problems and develop research questions
Communicate requirements with internal technical teams




Transform data for modeling purposes
Evaluate models against established benchmarks
Translate technical concepts for business representatives
Requirements: Robust proficiency coding in Python
Strong SQL and analytical capabilities
Knowledge of machine learning is an asset
Understanding of data engineering design and implementation
Ability to handle confidential data discreetly
Apply data engineering, Python modeling, and analytical problem-solving skills to WorkSafeBC’s actuarial system initiative.

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📌 Python Data Engineering Co-op Student (British Columbia)
🏢 WorkSafeBC
📍 British Columbia