As an AI Intern, you'll modernize analytical codebases using SAS, R, Python, and AI-assisted tools, contributing to workflow improvement and documentation.
About ProCogia:
We help businesses transform data into real growth!
Our clients operate in high-stakes, highly regulated industries (such as telecom, financial services, life sciences, and more), where precision, compliance, and measurable outcomes are non-negotiable. We partner with them by embedding expert data science, engineering, and AI talent directly into projects that matter.
We’re a diverse, close-knit team with a shared goal: delivering top-class, end-to-end data solutions. We don’t just analyse data, we push the boundaries of what’s possible, helping clients unlock new value and insights.
When you join ProCogia, you’ll find a supportive, growth-driven environment where your ideas are welcomed, and your development is prioritized. We offer competitive salaries, generous benefits and perks for personal and professional development.
If you’re ready to unleash your potential and work at the cutting edge of data consulting, we’d love to meet you!
The core of our culture is maintaining a high level of cultural equality throughout the company. Our diversity and differences allow us to create innovative and effective data solutions for our clients.
Our Core Values: Trust, Growth, Innovation, Excellence, and Ownership
Location: Vancouver (On-site)
No of openings: 2
We are seeking a motivated and curious AI Intern (Statistical Programming Focus) to join our team for the May 2026 semester (May - August 2026). In this role, you will contribute to the development of internal workflows and tooling that help modernize analytical codebases across SAS, R, and Python, with a particular focus on using AI-assisted development tools to improve translation, testing, and workflow efficiency.
Key Responsibilities- Contribute to the design, testing, and improvement of internal workflows and tools that support translation and modernization of analytical code across SAS, R, and Python.
- Analyze existing SAS programs to understand business logic, statistical methods, data transformations, and workflow structure, and support accurate translation into modern programming environments.
- Assist in designing, testing, and deploying AI-assisted and agentic workflows for internal projects, with potential exposure to client-facing use cases over time.
- Follow Git-based development practices and contribute to CI/CD workflows that support testing, deployment, and ongoing improvement of internal tools and automation pipelines.
- Participate in testing, troubleshooting, debugging, and refining workflow performance, translated code quality, and overall usability of internal solutions.
- Collaborate with senior consultants to document and standardize development processes, translation approaches, and workflow design patterns.
- Contribute knowledge sharing through presentations, demos, documentation, or internal walkthroughs.
- Currently enrolled in a university program in Statistics, Computer Science, Data Science, Mathematics, or a related field.
- Strong proficiency in SAS is required. You must be comfortable reading, understanding, and working with existing SAS programs independently. Familiarity with common statistical modelling is expected.
- Working knowledge of R or Python is preferred; familiarity with both is an asset.
- Interest in statistical programming, workflow automation, code modernization, and practical applications of AI in software development.
- Familiarity with Git, version control best practices, and CI/CD development workflows are an asset.
- Familiarity with AI-assisted coding tools such as Claude Code, GitHub Copilot, Cursor, or similar tools is strongly preferred.
- Exposure to LLMs, prompt-based development, automation frameworks, or orchestration tools is an asset.
- Strong problem-solving skills, attention to detail, and ability to work through ambiguity in a hands-on technical environment.
- Exposure to front-end languages such as TypeScript and Node.js is nice-to-have.
- Interest in building internal tools and gaining exposure to the product development lifecycle, from problem framing and prototyping to testing, iteration, and documentation.
- Comfort with technical writing – documenting code, workflows, or processes
- Strong communication and teamwork abilities.
Apply now with your resume and a note on how your experience aligns with this role.
ProCogia is proud to be an equal-opportunity employer. We are committed to creating a diverse and inclusive workspace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
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