AI Intern

ProCogia•Vancouver, BC

9d•Onsite

About The Position

ProCogia helps businesses transform data into real growth, particularly in high-stakes, highly regulated industries like telecom, financial services, and life sciences. They partner with clients by embedding expert data science, engineering, and AI talent directly into projects, ensuring precision, compliance, and measurable outcomes. ProCogia is a diverse, close-knit team committed to delivering top-class, end-to-end data solutions, pushing boundaries to unlock new value and insights. The company offers a supportive, growth-driven environment where ideas are welcomed, and development is prioritized, along with competitive salaries, generous benefits, and perks. Their core values are Trust, Growth, Innovation, Excellence, and Ownership, with a strong commitment to cultural equality and diversity. ProCogia is seeking a motivated and curious AI Intern with a Statistical Programming Focus to join their team for the May 2026 semester (May - August 2026). In this role, the intern will contribute to the development of internal workflows and tooling aimed at modernizing analytical codebases across SAS, R, and Python, with a particular emphasis on leveraging AI-assisted development tools to improve translation, testing, and workflow efficiency.

Requirements

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.
Interest in statistical programming, workflow automation, code modernization, and practical applications of AI in software development.
Strong problem-solving skills, attention to detail, and ability to work through ambiguity in a hands-on technical environment.
Comfort with technical writing – documenting code, workflows, or processes.
Strong communication and teamwork abilities.

Nice To Haves

Working knowledge of R or Python is preferred; familiarity with both is an asset.
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.
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.

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.