Data Scientist Internship (May 2026)

Helcim builds payments for businesses, and data runs through everything we do. From the risk models that protect our merchants  to the data products that empower teams across the company. We’re hiring a Data Intern to work on real machine learning and data engineering problems from your first week.

This is a 12 to 18 month internship embedded in the team. You’ll have a mentor, a seat in code reviews and design discussions, and production-bound projects of your own. You’ll work across our data function, with one foot in Data Science and one in Data Platform, so you see how a model is developed, deployed and monitored and how the infrastructure underneath it is built and run. Most students finish a degree with coursework and a class project. You’ll finish with a pipeline or model that supports thousands of businesses across Canada and the US.

Our team builds with AI-assisted and agentic workflows every day. You’ll learn how a modern data team uses AI tooling to move faster, and where human judgment still makes the call. You don’t need prior AI experience.

How we work

Four things we hold each other to: we build rather than wait, we take the harder path when it’s the right one, we earn trust daily, and we get more done together than apart. The long version is our culture book, The Way of the Helcim. You’re a student who thrives on real-world problems and wants to build things that last. You’re hungry to learn, you ask good questions, and you pick up new tools quickly, AI tools included. You take ownership of your work from first draft to production, and you care more about the team’s results than individual credit. If you can work in Python and SQL, we’ll teach you the rest, with dedicated time set aside to mentor you. You put in the work alongside us and leave things better than you found them.

What you bring: 

• You're currently pursuing a degree in Computer Science, Data Science, Software Engineering, Mathematics or another quantitative field.
• You have working proficiency in Python and SQL. You can reason through unfamiliar code, evaluate its logic critically and identify flaws. We'll help you develop the rest.
• You enjoy messy, real-world problems, you're fine when the path isn't fully defined, and you ask good questions.
• You don't need generative AI expertise, but you should be keen to pick up new tools and understand how they're changing data work.
• You care more about the team's results than individual credit, and you look for ways to help beyond your own tasks.
• Familiarity with a cloud platform such as GCP is a bonus.

The Role: What You’ll Own

• Build and deploy data products and pipelines that run in production
• Develop with autonomous agents and modern AI tooling
• Work across the full lifecycle, from data platform infrastructure to deployed ML models
• Help shape how a modern data team builds with AI

• Build and deploy data products and pipelines that run in production
• Develop with autonomous agents and modern AI tooling
• Work across the full lifecycle, from data platform infrastructure to deployed ML models
• Help shape how a modern data team builds with AI