Support data analytics and automated testing at Sun Life in Waterloo or Toronto through a hybrid Winter 2027 student placement.

As a Student Quality Engineering Analyst, you will help the Quality Engineering Analytics team turn engineering data into trusted insight. Your work will involve QEA 360 pipelines, dashboards, data-quality controls, and agentic AI use cases. You will collaborate with engineers, stakeholders, and platform partners while developing practical experience.

Key Responsibilities:

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

Requirements:

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

Develop Quality Engineering analytics, automation, and responsible AI skills while contributing to Sun Life’s enterprise platform.

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📌 Student Quality Engineering Analyst (London)
🏢 Sun Life Financial
📍 London