Job Posting Title
Aviation Predictive Analytics Co-op Student

Job Category
Employee in Training/Student

Language Requirements
English / Anglais

English is required / L'anglais est requis

Flexible Work Agreement Type
Hybrid / Hybride

Posting End Date
2026-11-08

Job Grade
STU-1

Pay Range
Commensurate with Experience / Selon l'expérience

Job Summary
We're experts in navigating Canada's skies. Helping pilots safely cross 18 million square kilometers of Canadian and North Atlantic airspace is what we do. Enroute or at airports, in clearances or on charts, through radio signals or expertise - we're always there.

NAV CANADA is hiring an Aviation Predictive Analytics Co-op Student to join our Corporate Performance and Sustainability Team!

As a Co-op Student, you'll enhance your technical and analytical skills while gaining valuable experience in the aviation analytics and forecasting domain. You will work with an experienced team of analysts who are developing models to forecast aviation activity and other key business metrics that directly support strategic planning and decision-making across NAV CANADA.

Our Co-op Program is designed to provide meaningful, hands-on experience and help identify high-potential talent for future opportunities.

Job Description
Are you passionate about data analytics, forecasting,



and real-world impact? Do you want to apply your analytical skills to understand how air traffic trends, economic indicators, and global events shape Canada's aviation system? Join NAV CANADA's Corporate Performance and Sustainability Team - where data science meets aviation strategy.

As an Aviation Predictive Analytics Co-op Student, you will:

Contribute to the development, testing, and refinement of statistical and machine learning models used in aviation forecasting and scenario analysis.

Assist in preparing, cleaning, and transforming large datasets using Python, SQL, and Azure Databricks.

Support the automation of analytical workflows and model tracking using Databricks Workflows and MLflow.

Participate in developing visual dashboards and interactive reports.

Collaborate with team members to analyze trends, validate models, and interpret results in a business context.

Document analytical processes and contribute ideas for improving efficiency, accuracy, and interpretability of forecasting models.

Explore relationships between aviation activity, macroeconomic indicators, and external data sources to enhance model explainability.

Key Learning Opportunities:
This role provides exposure to:

Applied Forecasting: Learn how forecasting supports strategic planning and operational decisions in the aviation sector.

Up-to-date Data Platforms: Hands-on experience with Azure Databricks,

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📌 Aviation Predictive Analytics Co-op Student (Quebec City)
🏢 NAV Canada
📍 Quebec City