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Ottawa, ON

Internship

Hybrid

Intern

Nokia is a global connectivity company advancing network technologies for the AI era. The Data Science Co-op/Intern will design and develop AI-powered applications, automate workflows, build software tools and APIs, and analyze engineering and operational data to support data-driven decision-making.

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Responsibilities

Design, develop, and evaluate AI-powered applications leveraging Large Language Models (LLMs), Agentic AI, Retrieval-Augmented Generation (RAG), and intelligent workflow automation technologies
Collaborate with engineering teams to analyze workflows, identify automation opportunities, and translate business requirements into practical AI-driven solutions
Develop software applications, APIs, and automation tools using Python and AI-assisted development platforms such as Cursor AI and GitHub Copilot
Analyze engineering and operational data to generate reports, dashboards, visualizations, and actionable insights that support data-driven decision making
Participate in Agile development activities, design reviews, AI adoption initiatives, workshops, and knowledge-sharing sessions across global engineering teams

Qualification

Required

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
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

Preferred

Preferred fields of study include Data Science, Computer Science, Software Engineering, Computer Engineering, Electrical Engineering, Artificial Intelligence, Statistics, Mathematics, or other related programs
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

Benefits

Flexible and hybrid working schemes to balance work and life
Professional development events and networking opportunities
Campus perks designed to make your student experience enjoyable and social, such as access to an onsite cafeteria, free employee parking, complimentary fitness centre, and sports facilities (volleyball, basketball, pickleball courts, ping pong, and employee leagues)
Well-being programs, including Personal Support Service 24/7 – a confidential support channel open to all Nokia employees and their families in challenging situations
Opportunities to join Nokia Employee Resource Groups (NERGs) and connect with people who share your passions and values
Employee Growth Solutions, mentorship programs, and coaching support for your career development
A learning environment that fosters both personal growth and professional development – for your role and beyond

Nokia manufactures mobile devices, network infrastructure, and location-based technology for businesses. It is a sub-organization of Enscryb.

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