Build machine learning and predictive analytics models that help a Canadian financial institution make decisions. Montreal, hybrid 3 days on site, bilingual.
Abbeal is looking for an intermediate data scientist for a Canadian financial institution in Montreal.
Context

The data and AI team builds machine learning solutions that inform business decisions, working closely with the data engineers and AI engineers who take them to production.
The role

Statistical modelling and predictive analytics
Experimentation: A/B testing and causal inference
Feature engineering, model evaluation and interpretability
Production deployment with data and AI engineers
Data storytelling and prescriptive recommendations for business teams
What we are looking for

At least 3 years in data science, quantitative degree (bachelor, master or PhD)
Python and SQL (pandas, NumPy, scikit-learn)
Databricks (notebooks, workflows) and Spark
Git and Azure DevOps or Jira
Power BI or Tableau
Terms

Montreal, hybrid: 3 days on site, 2 days remote
Freelance contract
Fluent French and English

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Intermediate Data Scientist (Python, Databricks, Spark, ML), financial institution, Montreal (hybrid