About The Position
Pratt & Whitney Canada (P&WC) is a global leader in the aerospace industry, headquartered in Longueuil, Quebec. We manufacture next-generation engines that power the world’s largest fleet of business, general aviation, and regional aircraft and helicopters. For nearly 100 years, we have pioneered advancements in engine development, supporting cargo and equipment, transportation, wildfire suppression, and passenger travel. Pratt & Whitney Canada was recognized as one of Canada’s Top 10 Employers in 2025 by Forbes and ranked #1 in the aerospace and defense industry in the country. Our headquarters are also listed among the top employers in the Montreal region. These accolades reinforce our reputation as an employer of choice in Montreal, Canada, and worldwide. You will collaborate with a team of specialists and report to the Senior Manager, Data Science & Advanced Analytics, Global Operations. This team includes several branches (data governance, data science, solution delivery, AI lab). In this role, you will work closely with Operations business units and the Digital Technology team to implement and support data science, analytics and digital solutions related to data that improve efficiency, reliability, and decision-making in operations. You will join a team that applies industry best practices in data science and engineering — from structured development workflows in Azure DevOps, to version control, automated testing, and CI/CD pipelines. We believe in doing things the right way, the first time: clean, reproducible code, strong documentation, and collaborative reviews are at the core of how we work. By joining our multidisciplinary team of data scientists, data analysts, and software developers, you will contribute to projects that directly support manufacturing, logistics, maintenance, and operational performance. You’ll also develop your skills in data storytelling, presentation, and solution delivery, ensuring that analytics translate into measurable improvements for our colleagues. With our modern tech stack — including Databricks, Spark, Azure DevOps, Power BI, Python, and SQL — you’ll work in an environment where innovation, collaboration, and professionalism are at the heart of everything we do. The position is based at our Longueuil location, from Monday to Friday, with flexible hours and exclusively on-site. Internship Dates: May 4th to August 21st, 2026
Requirements
- Be eligible to work in Canada
- Be enrolled in a Canadian university throughout your internship
- Be able to work on-site in the province where you are hired if applicable
- Bachelor’s or Master’s degree student in Data Analytics, Business Intelligence, Statistics, Computer Science, Software Engineering, or a related field
- Ability to work in a team and communicate effectively
- Ability to translate complex data into clear, actionable insights for business stakeholders
- Understanding of data governance, data quality, and best practices for building trust in analytics
- Programming skills — Python, Spark, SQL
- Knowledge of software and platforms — Databricks, Power BI, Azure DevOps, Git, Confluence
- Knowledge of Agile and DevOps methodologies
- Functional level of English
Responsibilities
- Design, deploy, and maintain interactive dashboards and reports (e.g., in Power BI) to support data-driven decision-making and improve business unit performance
- Collect, clean, and transform data from multiple sources to ensure high-quality, reliable datasets
- Conduct exploratory data analysis to identify trends, patterns, and opportunities
- Work closely with stakeholders to translate business needs into analytics solutions
- Deliver data storytelling and presentations that clearly communicate insights to non-technical audiences
- Support the automation of data workflows and pipelines to improve reporting, data products and data solutions efficiency
- Apply basic statistical and machine learning techniques when needed to support forecasting or optimization projects with our AI Factory Lab branch
- Practice disciplined software engineering (e.g., automated testing, code reviews, and writing pragmatic code) and write technical documentation
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What This Job Offers
Career Level
Intern
