Data Science Co-op/Intern

• Design, develop, and evaluate AI-powered applications using LLMs, Agentic AI, RAG, and intelligent workflow automation


• Collaborate with engineering teams to analyze workflows and identify automation opportunities


• Translate business requirements into practical AI-driven solutions


• Develop software applications, APIs, and automation tools using Python and AI-assisted development platforms


• Analyze engineering and operational data


• Generate reports, dashboards, visualizations, and actionable insights for data-driven decision making


• Participate in Agile development activities, design reviews, AI adoption initiatives, workshops, and knowledge-sharing sessions across global engineering teams

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


• Relevant fields include Data Science, Computer Science, Software Engineering, Computer Engineering, Electrical Engineering, Artificial Intelligence, Statistics, Mathematics, or related programs


• Strong programming experience in Python


• 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 AI-assisted development tools such as Cursor AI, GitHub Copilot, or similar platforms


• Understanding of data analytics, statistics, data modeling, and visualization techniques


• Strong analytical, problem-solving, communication, collaboration, and continuous learning skills


• Demonstrated interest in AI and automation technologies


• Nice-to-have: experience with LangChain, LangGraph, AutoGen, CrewAI, or similar technologies


• Nice-to-have: exposure to AI guardrails, LLM evaluation, observability, tracing, monitoring solutions, and AI application lifecycle management


• Nice-to-have: experience with enterprise application development, Grafana, Splunk, Power BI, Git-based workflows, CI/CD pipelines, hackathons, research projects, or AI-related extracurricular activities

Core Competencies

Demonstrates expertise in AI-powered application development, particularly with Large Language Models (LLMs) and automation frameworks. Proficient in Python programming and data analytics, with a strong focus on translating business requirements into effective AI solutions.

Highest-signal resume keywords

• Python Programming


• AI-Powered Application Development


• Large Language Models (LLMs)


• Data Analytics


• Agile Development

Hard Skills

• Software Development


• Automation Frameworks


• APIs


• Data Modeling


• Visualization Techniques


• Generative AI Concepts


• Prompt Engineering


• Retrieval-Augmented Generation (RAG)


• AI Agents


• Agentic Workflows

Soft Skills

• Analytical Skills


• Problem-Solving


• Communication


• Collaboration


• Continuous Learning

Industry Keywords

• Data Science


• Computer Science


• Software Engineering


• Artificial Intelligence


• Statistics


• Mathematics


• Enterprise Application Development

Tools & Technologies

• AI-Assisted Development Tools


• Cursor AI


• GitHub Copilot


• Grafana


• Splunk


• Power BI


• CI/CD Pipelines