Our Story & Purpose:
We’re Vancity, a member-owned credit union built on the principles of inclusion and social justice. Since 1946, our relentless commitment to these values has helped us challenge the status quo and break down barriers. We’ve made bold commitments to become net-zero by 2040 across all mortgages and loans, and we’re actively pursuing strategies in Indigenous banking and financial resilience for our members.
As the largest private sector Living Wage Employer in Canada, we’re proud to be consistently recognized as one of the country’s Top Employers. If you’re ready to join our team of 2,700 diverse individuals, access competitive rewards and benefits, and be part of a greater movement - apply today!
Your Role in Supporting Our Members:
As an Artificial Intelligence (AI) Intern, you will join Vancity’s AI team to help identify, validate, and scale responsible AI and Generative AI use cases that create meaningful member and business value. Working alongside Senior Engineers, Managers, and Senior Managers, you will gain hands-on experience supporting AI initiatives from idea generation and experimentation through to deployment. You will contribute to proof-of-concept development, machine learning and Generative AI experimentation, data preparation, and solution evaluation while learning how enterprise AI solutions are delivered within a regulated environment. We are seeking curious, innovative, and results-oriented students who enjoy solving complex problems and exploring emerging technologies.
This is a Full-time, Temporary role based at our Vancity head office and will report directly to the AI Manager or Data Science Manager. This 4-month internship runs from September to December. While this position provides a hybrid work arrangement, you will be expected to be on-site for events and business demands
How You'll Make an Impact:
- Researching and assessing AI use case feasibility across Machine Learning and Generative AI opportunities
- Exploring, cleaning, and transforming data to support proof-of-concept experiments and model development
- Building and evaluating machine learning and Generative AI solutions using a variety of techniques and tools
- Experimenting with prompts, embeddings, retrieval approaches, fine-tuning methods, and classical machine learning models
- Participating in scrum ceremonies including stand-ups, sprint planning sessions, reviews, and demonstrations
- Supporting deployment activities using cloud-based AI platforms, Azure services, Databricks, and MLOps concepts
- Documenting technical findings, trade-offs, and recommendations to support decision-making
- Collaborating with engineers, data scientists, project managers, and business stakeholders across AI initiatives
- Applying responsible AI principles while exploring innovative solutions to business challenges
What You’ll Bring to the Team:
- Current enrollment in or recent graduation from an undergraduate or graduate program in Computer Science, Software Engineering, Data Science, Data Engineering, Mathematics, or a related discipline
- Eligibility for a co-op, internship, or work-integrated learning opportunity
- Understanding of machine learning fundamentals including supervised and unsupervised learning concepts
- Familiarity with Generative AI concepts including Large Language Models, prompt engineering, embeddings, and Retrieval-Augmented Generation
- Experience using Python for analysis, experimentation, or application development
- Basic experience with SQL, data manipulation tools, notebooks, or data preparation techniques
- Interest in cloud computing, AI deployment, and production AI systems
- Ability to work effectively in a fast-paced environment with changing priorities and competing demands
Extra Skills That Set You Apart:
- Experience or coursework related to Azure, Azure Machine Learning, Azure AI Studio, Azure Foundry, or Azure DevOps
- Familiarity with Databricks, Spark, data engineering pipelines, CI/CD, or MLOps concepts
- Experience with hackathons, internships, APIs, cloud infrastructure, Power Automate, Power Apps, or personal AI projects
You’ll Thrive Here If You Are:
- Results-Oriented – You balance experimentation with delivering meaningful outcomes and practical solutions.
- Critical Thinking – You assess feasibility, trade-offs, and limitations when evaluating opportunities.
- Problem-Solving – You can break down complex and ambiguous problems into manageable components.
- Curious & Innovative – You enjoy exploring emerging technologies, experimenting with new ideas, and continuously learning.
We value lived experience, so if you are interested in this role, we encourage you to apply even if you feel your skills don't perfectly align with those listed.
What You’ll Earn:
This role offers a pay range of $27.85 per hour.
**Application Deadline: August 21st, at 3:00pm.**
Will remain posted until filled
Vancity Talent Programs:
Vancity supports an inclusive hiring process for candidates who self-identify as Indigenous, Black, or Trans. With special permission from the BC Human Rights Commissioner, this initiative provides access to career development opportunities, prioritized job screening, and feedback. Any information you choose to share will be stored securely and used only for recruitment and career development connected to this initiative, in line with the BC Personal Information Protection Act (PIPA). For details, please see our dedicated Talent Programs job posting.
This role is an open vacancy, and our hiring process is grounded in fairness, transparency, and inclusion. We are committed to an inclusive, barrier-free and accessible recruitment experience for all candidates. If you require any accommodations or support at any stage of the recruitment process, including the application stage, we encourage you to let us know. We’re here to work with you to ensure your needs are met promptly and effectively. All requests will be handled with the utmost respect and confidentiality, so you can participate fully in the process.
Preferred
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Problem Solving
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Verbal Communication
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Written Communication
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Teamwork
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Time Management Skills
