Hire data & AI talent across Canada.
From the pipeline to the model to the dashboard, we recruit the people who turn your data into decisions and your decisions into systems that learn, vetted by recruiters who understand the work.
The stack
The data stack, layer by layer.
Data and AI isn’t one job. It’s a whole STACK of them, from the pipeline to the model, and we recruit every layer.
Why STACK IT
We staff the whole data and AI stack.
A data engineer and a data scientist are not interchangeable. We screen each layer for what actually makes someone effective in it.
Recruiters who speak data
Our recruiters know a data engineer builds the pipelines and a scientist builds the models, and they screen for the one you actually need.
Every candidate is real
AI-assisted interviews and inflated resumes are everywhere in this field. We meet each candidate face-to-face on video, so who you interview is who shows up.
One standard, every layer
Whether it’s a junior analyst or a senior ML engineer, the same two-reviewer screen and 90-day guarantee apply.
How we screen
One bar, held every time.
The deep role-specific rubric lives on each role page. Across the category, every search runs on the same method.
Recruiter-led, not keyword-matched
A pile of tool names on a resume doesn’t prove someone can ship a model. We screen against real scenarios.
Two reviewers per shortlist
No candidate reaches you until a second reviewer signs off, so the bar holds on every search.
Screened to stay
Data and AI talent is in high demand and easily poached. We align trajectory and total comp so the hire sticks.
Backed by the guarantee
Permanent placements carry a 90-day replacement guarantee, and contract roles a fast backfill, at no extra cost.
FAQ
Hiring data & AI talent, answered.
Across the stack: data engineers who build the pipelines, data scientists and AI engineers who build the models, and data analysts who turn it into decisions.
We look past notebook demos to what a candidate has shipped, probing pipelines, evaluation, and rigor, and we have them explain their decisions in plain terms. Building something once and running it reliably in production are different skills.
It is among the most competitive markets right now, so bands move fast and strong people field multiple offers. We benchmark against recent placements and move quickly to land them.
Yes. Data engineers build the pipelines, data scientists and AI engineers build and ship the models, and data analysts turn data into decisions. We match to the exact profile rather than a generic data hire.
For permanent hires it's success-based: you pay only when a candidate starts, with no upfront fee or retainer. Contract placements run on a transparent hourly rate that already covers payroll, compliance, and onboarding. There's no cost to simply engage us.
Still have a question? Talk to a recruiter
Keep reading
From the blog
Build your data & AI team with confidence.
Tell us what you’re hiring for and we’ll reply within one business day with a calibrated shortlist, screened for your stack and your team.
- Pay only when they start
- First candidates in 24–48 hrs
- 90-day placement guarantee