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Automation Consulting Co-op/Intern

Nokia Global
Full-time
Remote
Canada
Description

Number of Position: 1

Duration: 8 Months

Date: May 4 to December 18, 2026

Location: Virtual in Toronto, Canada



Responsibilities
  • Research, design, and develop AI and data‑management algorithms to support innovative solutions.
  • Collaborate with a senior team member to design, analyze, and implement AI‑driven use cases.
  • Prepare high‑quality reports, presentations, and white papers to communicate technical findings and recommendations.
  • Operate within established guidelines, standard operating procedures, and technical methods, working under regular supervision.
  • Evaluate and select appropriate solution options, applying analytical skills and sound judgment to address routine challenges.
  • Build foundational skills by performing clearly defined, repetitive tasks with detailed instructions and close supervision.


Qualifications
  • Currently a candidate for a bachelor's in computer science or a related field with an accredited school in Canada. 

  • Self‑motivated and driven, with strong self‑learning habits and the ability to quickly adopt new tools and technologies.

  • Excellent communication, collaboration, and teamwork skills, enabling effective cross‑functional engagement.

It would be nice if you also had:

  • Proficient in Data & Analytics, with experience transforming complex datasets into actionable insights.

  • Strong research and problem‑solving abilities, with a demonstrated ability to diagnose issues, evaluate options, and implement effective solutions.

  • Hands‑on experience with Python, including scripting, data processing, and working with open‑source databases.

  • Solid understanding of AI/ML concepts and Large Language Models (LLMs), including practical application and model utilization.

  • Familiarity with automation frameworks, such as Ansible and Robot Framework, for streamlining workflows and operational processes.

  • Working knowledge of cloud‑native technologies, including Kubernetes, Docker, and major public cloud platforms (AWS, Azure, GCP).