Data Science Co-op/Intern

Nokia is hiring a Data Science Co-op/Intern. Level rates it ; you can apply on Nokia.

Level's read on this job

Level rates this role Uses AI ●●○○: an ordinary role that requires AI tools.
Tools and skills the posting cites include Copilot, LangChain and LangGraph.
Level classifies it as an internship.
Level lists 568 other open roles at Nokia.

AI in this role

copilotlangchainlanggraphcrewaiautogencursor

prompt-engineeringragai-agentsai-evaluation

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 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.

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.

How we rate this

Data Science Co-op/Intern at Nokia rates 48 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.

Classification

Uses AI. An ordinary role that requires AI tools.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Data Science Co-op/Intern is an open job at Nokia.
Level rates this role AI Level 2 of 4: Uses AI.
The role is based in Canada.
The job was posted on September 11, 2026.
Seniority: intern.
Applications are handled by Nokia. Apply on Nokia

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Prompt engineeringRAGAI agentsAI EvaluationCopilotLangChainLangGraphCrewAI

Questions you could be asked

How do you structure and test a prompt to get consistent output from a language model?
How would you design a retrieval step so the model answers from real data instead of guessing?
How do you decide when an AI agent can act on its own versus asking for approval first?
How do you decide that one model's output is better than another's for a given task?
Walk me through how you've used Copilot in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Prompt engineering, RAG, AI agents, AI Evaluation, and Copilot. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.

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