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INTERNSHIP DETAILS

Data Science Co-op/Intern

CompanyNokia

LocationOttawa

Work ModeOn Site

PostedSeptember 11, 2026

Internship Information

Core Responsibilities

You will design, develop, and evaluate AI-powered applications using LLMs, RAG, and intelligent automation technologies. Additionally, you will collaborate with engineering teams to analyze workflows and translate business requirements into practical AI-driven solutions.

Internship Type

full time

Company Size

1923

Visa Sponsorship

Language

English

Working Hours

40 hours

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About The Company

Infinera is now part of Nokia. Infinera is revolutionizing telecommunications networks with innovative, industry-leading connectivity solutions. Our offerings include high-end subcomponent technology, systems for network infrastructure, automation software, advanced optical compound semiconductor manufacturing, & professional services. As a global supplier, we empower mobile service providers, internet content providers, cloud operators, submarine operators, governments & enterprises to scale network bandwidth, boost service innovation, and automate network operations. We are committed to continuously expanding and enhancing our world-class offerings to meet the changing needs of our customers. Our connectivity solutions are powered by the world’s best embedded & pluggable optical engines, which are designed, developed & manufactured in Infinera’s U.S.-based optical semiconductor fabrication center and are application-optimized for edge, metro, long-haul, and submarine transport networks. Our agile, open, compact & modular networking platforms enable network operators to rapidly and easily take advantage of best-in-class technology. Our software automation solutions optimize traffic flows and automate workloads to enable network operators to cost-effectively deliver secure bandwidth to their customers where and when needed. With these solutions, our goal is to create a connected world with unlimited bandwidth for everyone – everywhere, always, and instantly. What Inspires Us? A connected world with unlimited bandwidth for everyone – everywhere, always & instantly. What Motivates Us? Delivering innovative and impactful coherent optical technologies and open optical solutions that unlock new value for our customers. What Drives Us? To be a valued investment for our shareholders’ money, our customers’ CapEx and our employees’ time by delivering an unrivaled customer experience from an inclusive culture of innovation for our customers.

About the Role

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.

Responsibilities

You will:

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.

Qualifications

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.

Advancing connectivity to secure a brighter world.

Nokia is a global leader in connectivity for the AI era. With expertise across fixed, mobile and transport networks, powered by the innovation of Nokia Bell Labs, we’re advancing connectivity to secure a brighter world.

Learn more about life at Nokia.

Our recruitment process

We act inclusively and respect the uniqueness of people. Our employment decisions are made regardless of race, color, national or ethnic origin, religion, gender, sexual orientation, gender identity or expression, age, marital status, disability, protected veteran status or other characteristics protected by law. We are committed to a culture of inclusion built upon our core value of respect.

If you’re interested in this role but don’t meet every listed requirement, we still encourage you to apply. Unique backgrounds, perspectives, and experiences enrich our teams, and you may be just the right candidate for this or another opportunity.

The length of the recruitment process may vary depending on the specific role's requirements. We strive to ensure a smooth and inclusive experience for all candidates. Discover more about the recruitment process at Nokia.

Some of our benefits for students in Canada:

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

Disclaimer for US/Canada

Nokia maintains broad annual base salary ranges for its roles in order to account for variations in knowledge, skills, experience and market conditions, and with consideration to internal peer equity. Check the salary ranges in the job info section for this role.

All North America job posts will post for a minimum of 3 calendar days and up to 180 days or until candidate/s identified.

Key Skills

PythonData ScienceArtificial IntelligenceLarge Language ModelsRetrieval-Augmented GenerationAgentic AISoftware DevelopmentAutomation FrameworksAPIsData AnalyticsStatisticsData ModelingVisualizationPrompt EngineeringGitHub CopilotCursor AI