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Nokia
·
January 1, 2026
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Kanata, Ontario, Canada
Internship
Onsite
Intern
Nokia is a global leader in connectivity for the AI era. As an Analytics/Next-Gen AI Co-op/Intern, you will prototype AI and machine learning models for telecom applications, collaborate with experts, and learn about AIOps practices.
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Responsibilities

  • Prototype AI and machine learning models for telecom use cases such as churn prediction, anomaly detection, and network optimization
  • Experiment with agentic AI systems that automate workflows, assist with data analysis, and interact with real data products
  • Support building and conversion of tasks and processes with an automation-first approach to enable scale and AI
  • Support the preparation and transformation of telecom data needed for model development and testing
  • Collaborate with data scientists, AI engineers, and telecom specialists, gaining exposure to real-world challenges and problem-solving approaches
  • Learn and apply AIOps practices for training, deployment, and lifecycle management of AI solutions across hybrid cloud and on-prem environments
  • Document experiments, outcomes, and lessons learned to create a lasting knowledge base

Qualification

Required

  • Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Statistics, Telecommunications, or a related field with an accredited school in Canada
  • Proficiency in Python and data analysis libraries (e.g., pandas, scikit-learn)
  • Understanding of machine learning concepts and algorithms, with ability to apply them in prototyping
  • Understanding of agentic ideas and patterns, knowledge on converting automation and services into tools
  • Strong analytical and problem-solving skills with a bias toward experimentation and iteration
  • Communicate effectively and collaborate across disciplines while driving innovation and pushing boundaries in telecom and AI

Preferred

  • Exposure to PyTorch or TensorFlow is an asset
  • Familiarity with cloud or containerized environments (e.g., Docker, Kubernetes, GCP, Azure, AWS, or OpenShift)
  • Curiosity and initiative to work with emerging technologies such as agentic AI systems, MLOps, and data orchestration

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.
Glassdoor
4.1
Founded in 1865
Espoo, Southern Finland, FIN
10001+ employees
http://www.nokia.com