Student, Quality Engineering Analyst (Winter 2027)

Sun Life Financial; Southwestern Ontario; Hybrid; CAD 42,000 - 64,000; Part time

Benefits offered by this job

Hybrid work arrangement

Mentorship program

Campus internship benefits

Job summary

Sun Life Financial is seeking a student in a post-secondary program to join the Quality Engineering Analytics (QEA) team. You will help turn data into insights, build data pipelines, dashboards and AI-enabled workflows, while learning to evaluate AI outputs and ensure data quality.

You’ll collaborate with Engineering, DevOps and analytics teams, work across platforms, and contribute to practical data projects with coaching from experienced engineers.

Qualifications

• Pursuing a post-secondary program with a 2027 or later graduation date.
• Demonstrated interest in data, software engineering, Quality Engineering, automation or AI-enabled product development.
• Foundational programming or scripting skills in Python, Java, JavaScript, or similar.
• 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 tools and workflows are managed.
• Willingness to learn unfamiliar tools with team support.
• Clear written and verbal communication for collaboration.

Responsibilities

• Support QEA 360 data and analytics: ingest, validate and analyze data from sources like qTest, Jira, delivery pipelines and operations.
• Contribute to reliable data pipelines and define metrics.
• Improve data quality and automate testing and dashboards.
• Assist with AI-enabled use cases and proofs of concept.
• Evaluate AI outputs with defined test scenarios and evidence.
• Create data visualizations and storytelling to reveal trends and usage.

Skills

Python

Java

JavaScript

SQL

Data analysis

Problem solving

Team collaboration

Curiosity about AI

Education

Post-secondary program in Computer Science, Software Engineering, Data Science, Data Analytics, Information Systems, Business Technology Management (graduation Apr 2027+)

Tools

AWS data services

Git

CI/CD

APIs

Power BI

Grafana

QuickSight

Jupyter/Notebook environment

Job description

At Sun Life,we’redriven by our Purpose: helping our Clientsachieve lifetime financial security and live healthier lives. Our values shape how we work: caring, authentic, bold, inspiring, and impactful. Our student and new graduate programs offer a chance to explore Sun Life from the inside. You’ll make a difference in the lives of our customers and communities, while building the skills and experience that allow you to grow in a meaningful and rewarding way.

Job Description

Join the Quality Engineering Analytics (QEA) team and help turn Quality Engineering data into useful insight, automation and trusted AI-enabled capabilities. You will work with engineers and stakeholders on QEA 360 data pipelines, dashboards, data-quality controls and agentic AI use cases that help teams understand quality, risk, adoption and delivery outcomes. This is a hands-on learning role for a student who is curious about data, analytics, Quality Engineering and how Agentic AI can safely support real engineering workflows.

What will you do?

• Support QEA 360 data and analytics: Help ingest, validate and analyze Quality Engineering data from sources such as qTest, Jira, delivery pipelines and operational systems.
• Contribute to reliable data pipelines and well-defined metrics.
• Improve data quality and automated testing: Assist with data-integrity checks, pipeline testing, dashboard validation, and automation that improves the accuracy, reliability and supportability of QEA products.
• Contribute to agentic AI use cases: Support proofs of concept and product experiments where AI agents analyze quality data, assist with defect and risk insights, or help automate multi-step Quality Engineering workflows.
• Evaluate AI-generated outcomes: Help define test scenarios, expected evidence and quality checks for agent outputs.
• Review results for accuracy, usefulness, traceability, and appropriate human oversight.
• Build analytics and visualizations: Use dashboards, reporting tools and clear data storytelling to help clients and leaders understand trends, platform usage, AI adoption and opportunities for improvement.
• Research emerging practices: Explore developments in agentic AI, AI assurance, analytics and Quality Engineering, then summarize practical implications and recommendations for the team.
• Work across teams: Collaborate with Quality Engineering, Enterprise DevOps, AI enablement teams and platform partners to deliver small yet useful increments of work.
• Document and share what you learn: Create clear technical notes, user guidance and demonstrations so that experiments and improvements can be reused and supported.

What do you need to succeed?

• 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 with a graduation date of April 2027 or later
• Demonstrated interest in data, software engineering, Quality 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 a problem, test assumptions, and explain findings clearly.
• Curiosity about agentic AI, including how agents reason over context, use tools, execute workflows and produce evidence that people can evaluate.
• Comfort learning unfamiliar tools and technologies with support from experienced team members.
• Clear written and verbal communication skills and the ability to work collaboratively in a team environment.
• Attention to detail and a responsible approach to data, privacy, security and AI use.

Preferred skills and experience

• Hands-on experience from coursework, personal projects, hackathons or prior work using Python and SQL.
• Exposure cloud services, especially AWS data or AI services such as S3, Glue, Redshift, Lambda, SageMaker or Amazon Bedrock.
• Exposure to AI agents, large language models, prompt design, retrieval-augmented generation, tool use or workflow orchestration.
• Experience with data visualization or business intelligence tools such as QuickSight, Power BI or Grafana.
• Familiarity with automated testing, CI/CD, Git, APIs or Agile product delivery.
• An understanding of responsible AI concepts such as evaluation, guardrails, explainability, traceability, and human oversight.
• Experience turning technical analysis into a concise presentation, demo or recommendation.

What is in it for you?

Practical experience with enterprise Quality Engineering data, analytics and AI-enabled workflows. Exposure to current agentic AI work, with an emphasis on evaluation, trust and responsible use rather than AI experimentation alone. Opportunities to contribute real code, analysis, testing dashboards and documentation with coaching from experienced engineers and analysts. A collaborative environment where students are encouraged to ask questions, test ideas, and demonstrate what they have learned. Experience working across engineering, data, analytics, platforms and client teams. A flexible and inclusive workplace focused on continuous learning and meaningful outcomes.

Why join QEP?

The Enterprise Quality Engineering Platform helps teams build and deliver software with greater confidence. Our work spans data and analytics, automation, platform engineering, and AI-enabled Quality Engineering. As agentic systems become part of how software is built and tested, QEP is focused on both using AI to improve Quality Engineering and ensuring that AI-generated outcomes can be evaluated and trusted. You will join a team working on practical problems where data quality, engineering judgment and responsible AI all matter.

Salary and benefits

The Base Pay range is for the primary location for which the job is posted for. The Base Pay which you will be considered for will vary depending on the Campus program you are selected for. Eligible Sun Life employees for various Campus Graduate programs will also participate in various incentive plans, payment under which is discretionary and subject to individual and company performance.

Diversity & inclusion

Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our Clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

Persons with disabilities who need accommodation in the application process, or those needing job postings in an alternative format, may e-mail a request to [e-mail].

Hybrid organization

We are proud to be a hybrid organization that offers our employees the choice and flexibility to work from both the office and virtually based on the needs of the business, our Clients and you. We may use artificial intelligence to support candidate sourcing, screening, interview scheduling.

Additional information

We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

Job Category: Temporary Employee Posting End Date: 04/11/2026

Shine together At Sunlife, you can be your most brilliant self. Our supportive, flexible, and inclusive work environment is one where you – and your career – can thrive. Whatever your aspirations, collaborative leaders and colleagues are ready to help you learn, grow, and succeed. Make life brighter We’re a global company with a passion for people. Our purpose is to help Clients build lifetime financial security and lead healthier lives. As a team of 68,000 across 28 markets, our impact is far-reaching, and locally relevant. There’s power in numbers. As part of Sunlife’s growing team, you have an impact on people in your community and around the world. Shape the future With an optimistic eye on a brighter future, we drive to innovate. Be part of leading change, push boundaries and try new ways of working. Use data to drive bold actions. Be agile and pivot as we test and learn. At Sunlife, we’re driving transformation, sustainability and innovation for our Clients, employees, partners, and communities. Join us. Together, we can make the future brighter. Join a top employer for a brighter future. Visit Sunlife Careers