INTERNSHIP DETAILS

AI Data Analyst Intern

CompanyIntelcom
LocationMontreal
Work ModeOn Site
PostedApril 30, 2026
Internship Information
Core Responsibilities
The intern will collect, clean, and analyze data to identify trends while developing and evaluating predictive AI models. They will also collaborate with cross-functional teams to optimize data pipelines and communicate findings to stakeholders.
Internship Type
full time
Company Size
2920
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
Intelcom est une entreprise de logistique du dernier kilomètre chef de file dans le secteur du commerce électronique. Nos équipes d’un bout à l’autre du Canada ainsi que notre réseau d’entrepreneurs indépendants contribuent aux activités quotidiennes d’Intelcom. En innovant constamment et en adoptant une approche unique en matière de technologies logistiques, Intelcom est résolument tournée vers l’avenir afin de continuer à offrir une efficacité opérationnelle toujours plus grande. __ Intelcom is a leading last-mile carrier in the e-commerce sector. Our teams across Canada as well as our network of independent contractors contribute to Intelcom’s daily operations. Through constant innovation and a unique approach to logistics technology, Intelcom is focused on what’s ahead to continue delivering new levels of operational efficiency.
About the Role

Make your internship count

At Intelcom, interns don’t just observe, they contribute meaningfully to real projects that shape how we operate. You’ll gain hands-on experience, grow your skills, and explore long-term career opportunities in a fast-moving, innovation-driven environment.

We are seeking an AI Data Analyst intern to support data analysis projects through the development of artificial intelligence (AI) models. This is an exciting opportunity to gain hands-on experience in developing AI solutions to drive Intelcom | Dragonfly's performance and strategic decisions.

Responsibilities 

  • Collect, clean, and manipulate data from various teams.  

  • Conduct in-depth analysis to identify trends, patterns, and anomalies.  

  • Apply AI and machine learning techniques to develop and evaluate predictive models 

  • Communicate results clearly to internal and external stakeholders.  

  • Collaborate with cross-functional teams to understand data needs and propose solutions.  

  • Contribute to the development and optimization of data pipelines and analysis processes.  

  • The role involves daily (or regular) communication with pan-Canadian stakeholders. 

Qualifications 

  • Currently pursuing a bachelor’s degree or higher in computer science, statistics, applied mathematics, or a related field 

  • Strong programming skills, particularly in Python 

  • Proficient in Pandas or other data manipulation libraries 

  • Advanced understanding of artificial intelligence and machine learning concepts 

  • Ability to conduct in-depth data analysis and develop predictive models 

  • Strong collaboration and communication skills 

#LI-DNI #IG-DNI 

Intelcom is a leading last-mile carrier in the e-commerce sector. Our teams across Canada as well as our network of independent contractors contribute to Intelcom’s daily operations.

Our goal is simple: in a constantly evolving business sector, we don't just follow, we get ahead. In addition to standing out through innovative services and delivery methods, Intelcom is also undergoing a technological transformation where the integration of customer experience and logistics technologies are at the heart of its evolution.

At Intelcom, we know experience comes in many forms and are committed to building a culture where difference is valued. We are always looking for talented and diverse individuals to join our teams. With over 60 delivery centers across Canada, we may have the right opportunity for you.

Apply Now.

Key Skills
PythonPandasData AnalysisArtificial IntelligenceMachine LearningPredictive ModelingData ManipulationData PipelinesCommunicationCollaborationStatisticsApplied MathematicsComputer Science
Categories
Data & AnalyticsTechnologySoftwareLogistics