Aviation Predictive Analytics Student

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 collaborative skills

Build aviation forecasting experience through Python, statistical modeling, visualization, and business-focused analytics at NAV CANADA.