Intern, Data Science & Advanced Analytics

Pratt & Whitney; Longueuil; On-site; CAD 20,000 - 31,000; Full time

Job summary

Pratt & Whitney Canada in Longueuil is offering an internship in Data Science & Advanced Analytics for winter/spring 2027. You will collaborate with a multidisciplinary team and report to the Manager, Data Science & Advanced Analytics, Global Operations.

You’ll design dashboards, transform data, and apply analytics to improve efficiency and decision-making in operations while using Databricks, Spark, Python, SQL, and Power BI. On-site, full participation is expected.

Qualifications

• 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.
• Pursuing a Bachelor’s or Master’s degree 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 and best practices for analytics.
• Programming skills – Python, Spark, SQL.
• Knowledge of platforms – Databricks, Power BI, Azure DevOps, Git, Confluence.
• Knowledge of Agile and DevOps methodologies.

Responsibilities

• Design, deploy, and maintain interactive dashboards and reports (e.g., in Power BI).
• Collect, clean, and transform data from multiple sources to ensure high-quality datasets.
• Conduct exploratory data analysis to identify trends and opportunities.
• Collaborate with stakeholders to translate business needs into analytics solutions.
• Deliver data storytelling and presentations to communicate insights to non-technical audiences.
• Support automation of data workflows and pipelines to improve reporting and data products.
• Apply basic statistical and machine learning techniques for forecasting or optimization.
• Practice disciplined software engineering and write technical documentation.

Skills

Python

SQL

Spark

Power BI

Databricks

Git

Agile / DevOps

Communication

Teamwork

Education

Pursuing Bachelor's or Master's degree in Data Analytics / BI / Statistics / CS

Tools

Azure DevOps

Git

Confluence

Job description

Intern, Data Science & Advanced Analytics

Date Posted: 2026-08-24

Country: Canada

Location: CA-QC-LONGUEUIL-J01 ~ 1000 Blvd Marie-Victorin ~ J01 BLDG

About Pratt & Whitney Canada

Pratt & Whitney Canada (P&WC) is a global leader in aerospace innovation, proudly headquartered in Longueuil, Quebec, since 1928. We design and manufacture next-generation aircraft engines that power the world’s largest fleet of business, general aviation, and regional aircraft and helicopters.

For nearly 100 years, our teams have been at the forefront of propulsion technology, pushing boundaries to make flight more efficient and reliable. Our engines support missions that truly matter, from transporting people and essential goods, to enabling emergency medical services, humanitarian operations, and wildfire suppression around the world.

An Employer of Choice

Pratt & Whitney Canada was named one of Canada’s Best Employers for 2026 by Forbes, marking the 11th consecutive year the company has earned this recognition. Pratt & Whitney Canada also ranked #1 employer in the aerospace and defense industry in the country. In addition, our headquarters continue to be recognized among the top employers in the Montreal region. Together, these distinctions reinforce our reputation as an employer of choice in Montreal, across Canada, and around the world.

Internship dates: January 5th to April 23rd, 2027

Location: The position is based at our Longueuil location; internship from Monday to Friday, with flexible hours and exclusively on-site.

Why join our team?

You will collaborate with a diverse team of specialists and report to the 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.

What will your day-to-day look like?

• 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

What do you need to be successful?

• 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

Although this position is part of a French-speaking work environment, it requires a working knowledge of English to read and understand specialized instructions, plans, drawings and technical terms that may emanate from international organizations, as well as to write and sometimes communicate in English with customers, suppliers or international colleagues.

Working at Pratt & Whitney Canada

The masculine pronoun is used without discrimination and solely for the purpose of making the text easier to read. We will consider applications from all qualified candidates.

At Pratt & Whitney Canada, we combine passion, boldness, and precision to design, manufacture, and maintain the most advanced and reliable aircraft engines in the world. Our work and the quality of our products contribute to the success of our customers, who in turn save lives, support commerce, connect communities, and protect freedoms.

At Pratt & Whitney Canada, you have the opportunity to make a difference every day; just look up. Are you ready to go beyond?

The selected candidate will be required to complete a criminal background check and any applicable clearances with respect to the handling and transfer of controlled goods. Employment is conditional upon the successful completion of these checks and obtaining the required clearances. Failure to do so will result in the withdrawal of the employment offer.