Data Science Intern

Job Description

Boeing Vancouver is seeking various Data Science Interns for our internship program. The Data Scientist intern will be reporting to the Data Science Manager. This is a full‑time internship opportunity that is based at our office in Richmond, British Columbia and is up to 8 months in length, starting in early September 2026. The internship is a hybrid role, with the selected candidate required to perform some work onsite at the Richmond location as discretion ed by the hiring team.

As a Data Scientist Intern you will combine the skills of a developer and a detective, applying mathematics, statistics, machine learning, and programming techniques to unravel subtle insights. You will work closely with customers and stakeholders to understand business problems, conduct exploratory analyses, propose appropriate technologies or methods, execute data science and analytics tasks, coordinate documentation and quality reviews, and communicate technical approaches and business outcomes to the project team and leadership.

• Work directly with an assigned mentor or a buddy.
• Work closely with customers/stakeholders to understand their business problems.
• Conduct exploratory analyses and data set characterizations.
• Research and propose (where applicable) appropriate technology/method to address business problems.
• Execute data science and analytics project tasks.
• Coordinate internal documentation and quality reviews.
• Effectively communicate technical approach, assumptions, help needed and business outcomes to the project team, analytics leadership and customers.

• Opportunity to take part in impactful business projects.
• Network with experienced professionals.
• Engage in a strong student network.
• Gain valuable exposure in the Aerospace industry.

• Currently enrolled as a full‑time student in an accredited university or college studying Computer Science or a similar technical discipline.
• Must be at least a 2nd year or higher student in a relevant program.
• Experience working with Python.
• Willing and able to work 40 hours per week during the internship.
• Consent to Canadian Government Controlled Goods Program (CGP) assessment and eligibility to work on government and defense‑related programs.
• Legally able to work in Canada.
• Not pose a risk for safeguarding of controlled goods.
• Eligible to handle U.S. export‑controlled data.

• Experience with Apache Spark and/or Databricks.
• Experience with cloud platforms, preferably Azure.
• Experience in collaborative development environments and version control, e.g., Git Lab.
• Previous internship experience.
• Working toward a Master’s degree.
• Domain knowledge in the aviation and aerospace industry.
• Project management knowledge (PMBOK, Agile, Kanban).
• Experience with the following technologies/methodologies:
  • Natural Language Processing
  • Reliability Analytics
  • Predictive Maintenance
  • Time Series Forecasting

The starting hourly rate for this internship ranges from $23.50 to $27.00 CAD, based on post‑secondary education completed, qualifications, and experience.

The internship is based in Richmond, British Columbia. The position is hybrid; candidates must be able to work onsite at the Richmond location as required by the hiring team.

Relocation assistance is not a negotiable benefit for this position. Candidates must live in the immediate area or relocate at their own expense.

This position requires an active Canadian Government Controlled Goods Program assessment or the ability to obtain one.

Employer will not sponsor applicants for employment visa status.

Applications for this position will be accepted until Jun. 05, 2026.

We are an equal opportunity employer. We do not accept unlawful discrimination in our recruitment or employment practices on any grounds including but not limited to race, color, ethnicity, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military and veteran status, or other characteristics covered by applicable law. Applicants are encouraged to inform us of any accommodations required during the recruitment process.