Machine Learning Engineer jobs in Canada

Bree is a consumer finance platform that brings better, faster, and cheaper financial services to over half the Canadian population who live paycheck to paycheck. We operate in a huge, but overlooked market in a country with the least amount of financial technology innovation in the developed world. Our first act is to become the cheapest and best provider of short-term credit to the 20 million people in Canada who live paycheck to paycheck.

More than 400,000 Canadians have already signed up with Bree and we believe we are just scratching the surface. We are in an exciting place where we have product market fit, explosive growth, and a clear path to becoming one of the most important FinTechs in Canada.

We are at 8-figures of annualized revenue, growing double-digit monthly, profitable, and have had 0 voluntary employee churn. We were part of Y Combinator in 2021 and raised a $2M seed round shortly after.

We’re looking for a Data Scientist with strong analytics engineering and data engineering capabilities to drive insights, experimentation, and scalable data infrastructure for Bree’s product development. This hybrid role is perfect for someone who enjoys both high-leverage analysis and building robust data systems.

You’ll be at the intersection of product, engineering, and growth, shaping how we make decisions, measure performance, and scale data infrastructure to support millions of Canadians.

• Conduct deep-dive analyses to uncover user behaviours, friction points, and growth opportunities.

• Design and analyze A/B tests to optimize user experience and conversion rates.

• Build and maintain scalable data models (e.g. dbt), pipelines, and transformation layers across our analytics stack.

• Own our product analytics instrumentation strategy, collaborating with engineering to ensure reliable event tracking.

• Develop and maintain high-leverage dashboards and self-serve reporting tools for product and business teams.

• Leverage statistics and machine learning to provide predictive insights and enhance personalization.

• Help build and maintain a unified data warehouse that supports both operational and analytical use cases.

• Continuously improve data governance, testing, and documentation to ensure trust and transparency in our data.

• Collaborate cross-functionally with product, growth, and engineering teams to define KPIs and evaluate impact.

• Proficiency in SQL and Python, with a track record of building clean, reusable analytical code.

• Strong experience in data modelling, ELT/ETL pipelines, and workflow orchestration (e.g. dbt, Airflow, or Dagster).

• Hands-on experience with product analytics platforms (Amplitude, Mixpanel, etc.) and event instrumentation.

• Familiarity with experimentation frameworks, causal inference, and statistical modelling.

• Strong data visualization skills and experience with BI tools (e.g., Metabase, Looker, or Mode).

• Familiarity with AI/ML dev tools like Cursor or notebooks for rapid data exploration.

• Excellent communication skills and the ability to translate data into actionable business insights.

• A product mindset with attention to detail and user experience.

• Eagerness to work in a fast-paced, high-ownership environment.

• Passion for Bree’s mission to build better financial services for Canadians living paycheck to paycheck.

• Top of the market compensation for top performers

• Comprehensive dental / vision

• $1,500 annual learning stipend

• $1,000 annual wellness stipend

• $250 monthly lunch stipend

• 2 annual company retreats

• Parental leave

• Unlimited PTO