Use Python, SQL, and analytics at Sun Life as a Student Quality Engineering Analyst in a hybrid learning setting. Explore trusted AI-enabled engineering workflows.

This student role supports the Quality Engineering Analytics team and QEA 360 products. You will work with Quality Engineering, Enterprise DevOps, AI enablement teams, and platform partners. The work combines data pipelines, automated testing, dashboards, agentic AI experiments, and responsible evaluation.

Key Responsibilities:

- Ingest, validate, and analyze Quality Engineering data
- Test pipelines, dashboards, and data-integrity controls
- Support agentic AI proofs of concept
- Evaluate agent outputs for accuracy and traceability
- Document experiments and share technical guidance

Requirements:

- Enrollment in a related post-secondary program
- Graduation date of April 2027 or later
- Foundational Python, Java, or JavaScript skills
- Foundational SQL, API, or database knowledge
- Interest in data, automation, Quality Engineering, or AI

Build practical experience in Quality Engineering analytics, Python, SQL, dashboards, automation, and responsible agentic AI at Sun Life.

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📌 Student Quality Engineering Analyst (Toronto)
🏢 Sun Life
📍 Toronto