Intern, Digital Ship Analytics

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.

As Intern, Digital Ship Analytics, you will support the development of scalable digital twin platforms that integrate real time sensor data, 3D models, and advanced visualization technologies to enhance vessel performance and availability. Working alongside Engineers at Vancouver Shipyards, you will assist with data driven initiatives across R&D, new vessel construction, and in-service support. This role is ideal for a detail-oriented, collaborative problem-solver who is passionate about leveraging data science and emerging technologies to drive innovation and deliver practical, user-focused solutions in a dynamic marine environment.

Note: Due to business needs, this position is required to be fully on-site based at 2 Pemberton Avenue, North Vancouver.

What You'll Do

Depending on the qualifications, experience and interests of the selected candidate, the tasks towards development, integration or testing in one of the following:

• 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 third or later year of Computer Science, Computer Engineering, or a closely related degree.
• 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.
• 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 $28.00/hour.

Start Date of Internship: Tuesday, September 8th, 2026.

End Date of Internship: Friday, December 18th, 2026 (4-Months).

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

Application Closing Date: Sunday, June 21st, 2026, at 11:59pm PDT.

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:

Seaspan Shipyards is one of North America’s most modern shipyards and unique in its ability to provide a complete range of services including new construction, conversion, refit, repair and life-cycle maintenance work for Canada’s Coast Guard and Navy as well as commercial vessels including cruise-ships and deep-sea vessels. Seaspan Shipyards operations include Vancouver Shipyards, Vancouver Drydock and Victoria Shipyards.

To learn more, visit our website:

This position may involve defense articles and/or technical data regulated by the U.S. International Traffic in Arms Regulations (“ITAR”) and the U.S. Arms Export Control Act. In compliance with ITAR, the successful candidate will be subject to a security clearance through the Canadian Controlled Goods Program as regulated by the Controlled Goods Regulations and Defense Production Act. The successful candidate will be required to maintain their security clearance throughout their employment in this position.

Seaspan is committed to Employment Equity, supports diversity in the workplace, and encourages applications from all qualified individuals including, women, members of visible minorities, Indigenous persons, and persons with disabilities. If you require any accommodations at any stage of the recruitment process, please reach out to our Talent Acquisition team at View email address on canada.jobradars.com for confidential support. We are committed to providing an inclusive and accessible environment.