About the role#
Join the Quality Engineering Analytics team to help turn engineering data into useful insights, automation, and trusted AI-enabled capabilities. You will work alongside engineers and stakeholders on data pipelines, dashboards, and agentic AI use cases that help teams understand quality, risk, and delivery outcomes. This is a hands-on learning opportunity for a student curious about how AI can safely support real engineering workflows.
What you'll do#
- Support data and analytics by helping to ingest, validate, and analyze information from sources like qTest, Jira, and delivery pipelines.
- Contribute to reliable data pipelines and well-defined metrics.
- Assist with data-integrity checks, pipeline testing, dashboard validation, and automation to improve the accuracy of our products.
- Support proofs of concept where AI agents analyze quality data or help automate multi-step engineering workflows.
- Define test scenarios and quality checks for agent outputs, reviewing results for accuracy, traceability, and human oversight.
- Build visualizations and use data storytelling to help leaders understand trends, platform usage, and AI adoption.
- Research emerging practices in agentic AI and AI assurance, summarizing practical implications for the team.
- Collaborate with Quality Engineering, Enterprise DevOps, and AI enablement teams to deliver useful work.
- Create technical notes and user guidance to ensure experiments can be reused.
What you'll need#
- Currently enrolled in a post-secondary program in Computer Science, Software Engineering, Data Science, Data Analytics, Information Systems, Business Technology Management, or a related field.
- Graduation date of April 2027 or later.
- Demonstrated interest in data, software engineering, automation, or AI-enabled product development.
- Foundational programming or scripting skills in Python, Java, JavaScript, or a similar language.
- Foundational knowledge of SQL, data structures, APIs, or database concepts.
- Ability to analyze problems, test assumptions, and explain findings clearly.
- Curiosity about agentic AI and how agents reason over context.
- Comfort learning unfamiliar tools and technologies.
- Clear written and verbal communication skills.
- Attention to detail and a responsible approach to data, privacy, security, and AI use.
Location & details#
- Term: Winter 2027
- Locations: Waterloo, Ontario and Toronto, Ontario
- Work Modality: Hybrid
- Employment Type: Full time
- Paid: Yes
About Sun Life
Sun Life is a financial services organization founded in 1865. It provides insurance and investment products to clients across Canada, the United States, the United Kingdom, Hong Kong, the Philippines, and Indonesia. The company is based in Toronto and maintains a global workforce of more than 38,000 employees. It operates as a public company.
How to get in at Sun Life
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