Data Science Intern

At Boeing, we innovate and collaborate to make the world a better place. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.

Boeing Vancouver is seeking various **Data Science Intern** 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 January 2026.

As a Data Scientist Intern, you will have to combine the skills of a developer and a detective, drawing on a wide palette of mathematics, statistics, machine learning, and programming techniques to unravel mysteries too subtle for the naked eye. You will get to work closely with our customers, building their trust, studying their problems and business needs, and you will blend artistry with science to visualize and explain your findings and stories.

**Benefits of a Boeing Internship**
- Have the 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.

**Position Responsibilities**:

- Work directly with an assigned mentor or a buddy.
- Work closely with our 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 project team, analytics leadership and customers.

**Basic Qualifications (Required Skills/Experience)**:

- Currently enrolled as a full-time student with an accredited university or college with studies in Computer Science or similar technical discipline
- Must be at least a 2nd year or higher student with studies in a relevant program
- Provide consent to Canadian Government Controlled Goods Program (CGP) assessment and willing and eligible to work on government and defense-related programs
- Experience working with Python
- Willing and able to work 40 hours per week during the internship
- Must be legally able to work in Canada
- Individual must not pose a risk for safeguarding of controlled goods
- Must be eligible to handle US export-controlled data

**Preferred Qualifications (Education/Experience)**:

- Previous internship experience
- Working towards a Master’s degree
- Domain knowledge in the aviation & aerospace industry
- Project management knowledge (PMBOK, Agile, Kanban)
- Experience with the following technologies/methodologies:

- Natural Language Processing
- Reliability Analytics
- Predictive Maintenance
- Time Series Forecasting
- Computer Vision
- **Graduates are ineligible unless continuing in post graduate studies.**

**Additional Information**:
Starting salary will be based on year of post-secondary education completed, qualifications and experience. The range for this internship is $22.00 - $24.50 CAD hourly.

**To review the Canadian Controlled Goods and Public Service and Procurement Canada requirements please go to the following government pages below**:
Applications for this position will be accepted until **Oct. 14, 2025**
**Export Control Requirements**:This is not an Export Control position.
**Relocation**

Relocation assistance is not a negotiable benefit for this position.

**Security Clearance**

This position requires an active or ability to obtain Canadian Government Controlled Goods Program (CGP) assessment.

**Visa Sponsorship**

Employer will not sponsor applicants for employment visa status.

**Equal Opportunity Employer**:
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.