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

Abbeal; Montreal; Hybrid; CAD 83.000 - 131.000; Teilzeit

Zusammenfassung

Abbeal in Montreal is seeking an intermediate data scientist for a Canadian financial institution. The role focuses on building ML and predictive analytics, with hybrid work and bilingual requirements.

You'll collaborate with data and AI engineers, perform statistical modelling, experimentation, feature engineering, and data storytelling to drive prescriptive recommendations.

Qualifikationen

• Minimum 3 years in data science or a related field.
• Proficiency in Python and SQL (pandas, NumPy, scikit-learn).
• Experience with Databricks and Spark.
• Experience with Git and Azure DevOps or Jira.
• Experience with Power BI or Tableau.

Aufgaben

• 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.

Kenntnisse

Python

SQL

Databricks

Spark

Git

Azure DevOps or Jira

Power BI or Tableau

Ausbildung

Bachelor/Master/PhD in a quantitative field

Tools

Databricks

Spark

Jobbeschreibung

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