Data Science Intern- Fall 2025 at GeoComply
Vancouver, BC, Canada -
Full Time


Start Date

Immediate

Expiry Date

29 Nov, 25

Salary

53000.0

Posted On

30 Aug, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Learning

Industry

Information Technology/IT

Description

ABOUT GEOCOMPLY

We’re GeoComply! We are at the forefront of geolocation, cybersecurity, and anti-fraud innovation, developing and delivering cutting-edge technologies to help ensure regulatory compliance, combat bad online actors, alleviate user friction, and protect businesses from fraud.
Achieving significant business and revenue growth over the past three years and dubbed a tech “Unicorn,” GeoComply has been trusted by leading global brands and regulators for over ten years. Our compliance-grade geolocation technology solutions are installed on over 400 million devices and analyze over 12 billion transactions a year.
At the heart of it all is the people, united by a deep commitment to problem-solving and revolutionizing how people and businesses use the internet to instill confidence in every online interaction. With teams across five countries, three continents, and a global customer base, we have no plans to slow down.
Location: Toronto, ON or Vancouver, B.C. (Hybrid)
Hours: Full Time, 40 hr / week
Term: September – December 2025 (4 or 8 month internship)
Team: Data Science
The Role
Are you good at working with data? Do you want to build solutions to detect fraudulent activity and help protect your client’s business? As a Data Science Intern, you’ll team up with our best and brightest to learn, share ideas, execute,e and create innovative solutions that directly impact the industries and communities served by our business.

COMMITMENT TO DIVERSITY AND EQUITY.

If you don’t tick every box in this job description, please don’t rule yourself out. Research suggests that women and other people in underrepresented groups tend to only apply if they meet every requirement. We focus on hiring people who value inclusion, collaboration, adaptability, courage, and integrity rather than ticking boxes, so if this resonates with you, please apply.

DIVERSITY, EQUITY, AND INCLUSION ARE AT THE CORE OF WHO WE ARE

In collaboration with our team and external partners, we promote DEI in our recruitment and hiring practices; scholarships and financial aid; training and mentorship programs; employee benefits, and more.

LEARNING IS AT THE HEART OF OUR EMPLOYEE EXPERIENCE

At GeoComply, we foster an environment that empowers every employee to gain the knowledge and abilities needed to perform at their very best and help our organization grow. From a professional development budget to local training opportunities, knowledge-sharing sessions and more, we are continually investing in employee career growth and development.

Responsibilities
  • Using Python & Pyspark to analyze large-scale data, research new features and models to classify fraudulent activity.
  • Build pipelines to process and aggregate data at scale to generate features for machine learning models.
  • Analysis of graph data to generate features, propagate knowledge, and classify characteristics of connectivity.
  • Presenting research findings to a large audience, from highly technical to business and customer-focused teams.
  • Building services to host machine learning models, including data parsing, feature generation, integration with requisite databases, and operational features.
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