Data Science Co-op/Intern

Position: Data Science Co-op/Intern Number of Position(s): 3 Duration: 4 Months Date: January 4, 2027 - April 30, 2027 Location: Hybrid in Ottawa, CANADA Education Requirements Currently pursuing a Bachelor's or Master's degree, or a College diploma, at an accredited Canadian university or college in a relevant technical discipline. Preferred fields of study include Data Science, Computer Science, Software Engineering, Computer Engineering, Electrical Engineering, Artificial Intelligence, Statistics, Mathematics, or other related programs. You must have: Strong programming experience in Python and familiarity with software development, automation frameworks, APIs, and application design principles. Knowledge of Generative AI concepts, including Large Language Models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG), AI agents, and agentic workflows. Experience using modern AI-assisted development tools such as Cursor AI, GitHub Copilot, or similar platforms to improve software development productivity. Understanding of data analytics, statistics, data modeling, and visualization techniques obtained through academic coursework, projects, or practical experience. Strong analytical, problem-solving, communication, collaboration, and continuous learning skills with a demonstrated interest in AI and automation technologies. Nice-to-Have Qualifications: Experience building AI-powered applications using frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or similar technologies. Exposure to AI guardrails, LLM evaluation, observability, tracing, monitoring solutions, and AI application lifecycle management practices. Experience with enterprise application development, dashboards and visualization platforms (Grafana, Splunk, Power BI), Git-based development workflows, CI/CD pipelines, or participation in hackathons, research projects, or AI-related extracurricular activities.