Build aviation forecasting expertise with Python and machine learning at NAV CANADA in a hybrid co-op student position. Analyze data supporting Canada’s skies.
As an Aviation Predictive Analytics Co-op Student, you will strengthen technical and analytical skills within the Corporate Performance and Sustainability Team. You will help develop statistical and machine learning models for aviation forecasting and scenario analysis. The work supports strategic planning and decision-making across NAV CANADA.
Key Responsibilities: Develop, test, and refine aviation forecasting models
Prepare, clean, and transform datasets using Python and SQL
Automate workflows using Databricks Workflows and MLflow
Develop visual dashboards and interactive reports
Analyze trends and interpret model results for business contexts
Requirements: English language proficiency
Interest in data analytics and forecasting
Analytical skills applicable to aviation data
Ability to use Python, SQL, and Azure Databricks
Interest in statistical and machine learning models
Apply analytical, Python, SQL, and machine learning skills while supporting aviation forecasting at NAV CANADA.

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