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Added 9 mins ago
CO
Bylaw Enforcement Officer
City of Penticton
Penticton, BC
- Full-time
Reporting to the Bylaw Services Manager (or designate) the Bylaw Enforcement Officer (BEO) performs administrative, inspectional, and regulatory work to enforce bylaws relating to property…
Added 9 mins ago
JD
Junior Project Administrator
JD Development Group
Markham, ON
- Full-time
Reporting to the Project Manager Lead (PM), you'll handle the financial and administrative paperwork that keeps projects on budget and subcontractors paid on time. You'll work closely with…
Added 9 mins ago
SI
Occupational Therapist (casual), Transitional Health
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Bedford, NS
- Temporary
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Added 9 mins ago
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Associate Managing Editor (French Services) (On Site)
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Sherbrooke, QC
- Full-time
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- Full-time
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Added 9 mins ago
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- Full-time
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- Full-time
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Added 9 mins ago
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Division Manager – Environmental Services, Site Assessment & Remediation
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- Full-time
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Added 9 mins ago
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Added 24 mins ago
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Added 39 mins ago
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Added 39 mins ago
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Added 39 mins ago
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Chef De Projet / Project Manager
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Montreal, QC
- $30 to $60 CAD / hour
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We are seeking an experienced project manager to coordinate and manage production infrastructure projects, industrial equipment acquisition, and installation within a manufacturing…
Added 39 mins ago
A
Chef De Projet / Project Manager
Actalent
Montreal, QC
- $30 to $60 CAD / hour
- Contract
We are seeking an experienced project manager to coordinate and manage production infrastructure projects, industrial equipment acquisition, and installation within a manufacturing…

NAV CANADA

Aviation Predictive Analytics Co-op Student

Ottawa, ON, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Nov 9, 2026
Posting language: English
Posted: Oct 30, 2026

Original job description

Job Posting Title

Aviation Predictive Analytics Co-op Student

Job Category

Employee in Training/Student

Language Requirements

English / AnglaisEnglish 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.
Modern Data Platforms: Hands-on experience with Azure Databricks, MLflow, and data versioning using Git and Azure DevOps.
Model Development Lifecycle: Participate in data preparation, model training, performance evaluation, and deployment.
Visualization & Communication: Learn to translate analytical insights into compelling visual stories for non-technical audiences.
Aviation Industry Insight: Understand how aviation trends, technology, and policy intersect with data-driven planning.

The ideal candidate will have:

Curiosity and motivation to learn about data analytics, forecasting, and the aviation industry.
Effective communication skills (both verbal and written).
Strong organizational skills, attention to detail, and dependability.
Ability to work collaboratively in a team environment.
A creative and analytical mindset with an eagerness to solve real-world problems.

Knowledge & Abilities

Basic understanding of statistical or time-series concepts (e.g., trend, seasonality, regression).
Familiarity with Python and libraries such as pandas, matplotlib, scikit-learn, or statsmodels.
Understanding of SQL and data querying principles.
Interest in learning forecasting models (e.g., ARIMA, Prophet, Exponential Smoothing).
Familiarity with data visualization (e.g., Dash, Power BI, or similar tools) is an asset.
Knowledge of version control (Git) or workflow automation tools is an asset.
Proficiency with Microsoft Excel and PowerPoint for analysis and presentations.

Programs and Level

Undergraduate or graduate student working towards a degree in Data Science, Statistics, Economics, Computer Science, Engineering, or a related discipline.

Working conditions:

This position is based at the Ottawa Head Office and is classified as a Hybrid position requiring incumbent to be on site a minimum 3 days per week.
Occasional travel required.

Work Environment Language

English

NAV CANADA is committed to building a skilled, diverse workforce reflective of Canadian society. If you do not believe that you match every job requirement listed on this job posting, we still encourage you to apply. NAV CANADA encourages a culture of learning and growth, and recognizes that although some technical skills are mandatory, many others can be taught.

Our Company strives to create an inclusive and barrier-free selection process and work environment. If you require accommodations during this competition process, please ensure that you inform the interview coordinator or hiring manager of any accommodation measures you may require. NAV CANADA will provide accommodations throughout the recruitment and selection process to applicants with disabilities as required.

The successful candidate must meet the security requirement of the position and be legally able to work in Canada.

NAV CANADA may use automated or AI‑enabled tools to help manage applications and identify job‑related qualifications. These tools do not make final hiring decisions. All hiring decisions are reviewed and made by NAV CANADA recruitment professionals and hiring managers.

We thank all applicants for their interest; only those selected for next steps will be contacted.

Apply About employer

More about this job

Responsibilities

Contribute to the development and refinement of statistical and machine learning models for aviation forecasting and scenario analysis. Assist in preparing large datasets and automating analytical workflows using Python, SQL, and Azure Databricks.

Requirements

Candidates must be undergraduate or graduate students in Data Science, Statistics, Economics, Computer Science, Engineering, or a related discipline. Proficiency in Python, SQL, and an understanding of statistical or time-series concepts are required.

Skills

Data analytics
Forecasting
Python
SQL
Azure Databricks
Machine learning
Statistical modeling
Data visualization
MLflow
Git
Azure DevOps
Time-series analysis
Pandas
Scikit-learn
Power BI
Regression

Visa sponsorship

Not detected in the job text

Keywords

Aviation
Predictive Analytics
Data Science
Forecasting
Machine Learning
Python
SQL
Azure Databricks
MLflow
Git
Azure DevOps
Statistical Modeling
Time-series
Regression
Data Visualization
Power BI
Dash
Pandas
Scikit-learn
Statsmodels
Strategic Planning
Scenario Analysis
Macroeconomic Indicators
Data Cleaning
Workflow Automation
Corporate Performance
Sustainability
Aviation Industry
Model Development
Data Querying

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