Job Description

Through the National Shipbuilding Strategy (NSS), the Government of Canada has embarked on one of the largest procurement projects since the Second World War. The NSS is a nation-building effort to create a sustainable Canadian shipbuilding industry, secure long-term job opportunities and build the next generation of ships for the Canadian Coast Guard and Royal Canadian Navy. Through its NSS-related work, Seaspan Shipyards is owning the redevelopment of our domestic shipbuilding industry on the West Coast and delivering on the promise of ships built in Canada, by Canadians.


The Intern, Digital Ship Analytics will work within the Innovation team at Vancouver Shipyards and have exposure to the various areas of R&D Innovation, Vessel New Construction and In-Service Support at one of the largest shipbuilding companies in Canada. In this role, you will provide day-to-day support to Engineers while assisting and coordinating specific data science related activities.


Seaspan has developed and integrated digital twin solutions in a scalable platform that integrates with sensors, communication systems, 3D models and visualization technologies all to minimize the service interruption of maintenance/refit and maximize vessel availability. Incremental development will be carried out as part of the Digital Ship Technical Development Roadmap Plan as new requirements and additional data are acquired.

Note: Due to business needs, this position is required to be fully on-site based at 10 Pemberton Avenue, North Vancouver.

What you'll do

Develop, test, and maintain data pipelines

: Collaborate closely with the data team to build and optimize data pipelines for machine learning applications, ensuring efficient and scalable data flow throughout the project lifecycle.

Machine learning model development

: Design, test, and implement machine learning models using Python and relevant libraries to solve real-world problems and improve decision-making processes.

Data analysis and feature engineering

: Perform exploratory data analysis, clean and preprocess data, and identify key features that will enhance the performance and accuracy of machine learning models.

Reporting, documentation, and insights presentation

: Prepare comprehensive reports and visualizations to clearly communicate data-driven insights, model performance, and project outcomes to technical and non-technical audiences. Assist in creating presentations and maintaining proper documentation for stakeholders, ensuring transparency and clarity in project deliverables, and aligning findings with business objectives.

What you'll bring

Enrollment in a 3rd-year or later year of Computer Science, Computer Engineering, or a closely related degree program. Demonstrated utilization of Python and common data science libraries such as Pandas, NumPy, Seaborn, and Matplotlib. Experience in machine learning and data mining including libraries such as Scikit-learn and XGBoost. Experience with Tensorflow or PyTorch is a plus. Demonstrated technical knowledge and engineering skills through exposure to multiple class projects or co-op terms. Above average analytical skills and ability to learn quickly to gather, analyze, and synthesize data. String working knowledge of Microsoft products including Excel/Word/PowerPoint. Experience with SQL, and other database management tools. Effective communication, interpersonal and organization skills. Strong problem-solving skills, analytical abilities and interpersonal skills that support business-oriented solution development. Ability to exercise sound judgment and decision-making skills consistent with the essential job functions. Innate curiosity and enthusiasm for exploring and developing modern technologies and processes.

Why you'll love working here

A supportive learning environment, great team culture and hands-on experience and training. Opportunity to grow your career and connect with like-minded students. Parking is included and to assist those that are using transit, we operate a complimentary shuttle bus Monday through Friday with various pick up and drop off points around North Vancouver.
We require a full-time commitment Monday-Friday, 40 hours per week with an hourly rate of $26.00/hour.

Start Date of Internship: Monday, January 12th, 2026.

End Date of Internship: Friday, August 28th, 2026 (8-Months).

Please submit your Resume, Cover Letter and Academic Transcript as one PDF document.

Application Closing Date: Sunday, October 19th, 2025, at 11:59pm PST.

Please note: if we receive a large volume of applications, we may close this posting ahead of the closing date, therefore, we recommend applying early. Only those applicants under consideration will be contacted.

To learn more about our InternSHIP Program, visit our website: www.seaspan.com/internships-at-seaspan/

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