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.
Aviation Predictive Analytics Student employer: Nav Canada
NAV CANADA is an exceptional employer that prioritizes the integration of cyber security within its enterprise architecture, fostering a culture of innovation and collaboration. Employees benefit from a hybrid work model that promotes work-life balance, alongside opportunities for professional growth through continuous learning and engagement with industry standards like ISO/IEC 27001. With a commitment to resilience and security, NAV CANADA offers a meaningful and impactful career path in a dynamic environment.
