Apply Python and forecasting skills with NAV CANADA in Ottawa, working hybrid on aviation analytics that supports strategic planning.
This Aviation Predictive Analytics Co-op Student role suits undergraduate or graduate students in data science, statistics, economics, computer science, engineering, or related disciplines. You will work with experienced analysts on aviation activity and business metric forecasting. The position develops technical and analytical skills through practical model development, data preparation, visualization, and interpretation.
Key Responsibilities: Develop, test, and refine statistical and machine learning models
Prepare, clean, and transform datasets using Python, SQL, and Databricks
Automate analytical workflows and track models with MLflow




Create visual dashboards and interactive reports
Analyze trends and interpret results in business contexts
Requirements: Undergraduate or graduate enrollment in a relevant discipline
Basic statistical or time-series concepts understanding
Familiarity with Python, pandas, and scikit-learn
Understanding of SQL and data querying principles
English communication, organization, and team-oriented skills
Build aviation forecasting experience through Python, statistical modeling, visualization, and business-focused analytics at NAV CANADA.

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