Quality Engineering Analytics Intern
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Build Quality Engineering analytics skills at Sun Life while supporting data pipelines, dashboards, automated testing, and AI-enabled workflows in a hybrid student program.
This intern position supports the Quality Engineering Analytics team and QEA 360 products. You will work with qTest, Jira, delivery pipelines, operational systems, dashboards, and data-quality controls. The work also includes agentic AI proofs of concept, evaluation, documentation, and collaboration across engineering teams.
Key Responsibilities:
- Ingest, validate, and analyze Quality Engineering data
- Support pipeline testing, dashboard validation, and data-integrity checks
- Evaluate AI-generated outcomes for accuracy and traceability
- Build dashboards, reports, and clear data visualizations
- Document experiments, improvements, and technical guidance
Requirements:
- Enrollment in a related post-secondary program through April 2027 or later
- Foundational Python, Java, JavaScript, or similar programming skills
- Foundational SQL, data structures, APIs, or database knowledge
- Interest in data, automation, Quality Engineering, or AI-enabled development
- Clear communication, collaboration, and careful data handling
Develop practical expertise in Quality Engineering analytics, responsible AI evaluation, data quality, and automated testing at Sun Life.
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