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Senior Data Scientist
National Bank of Canada
Montréal, CAN
Full-time
Senior
Hybrid
Discovered 1 weeks ago
Data scienceAdvanced analyticsSupervised machine learningUnsupervised machine learningPythonSQL
Free
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Data scienceAdvanced analyticsSupervised machine learning
Role Overview
Serve as a Data Science Specialist in the Data Valorisation and Analytics team.
Use data science and advanced analytics to support growth, retention, client experience, and portfolio value.
Support insurance, marketing, and distribution business sectors with concrete, measurable solutions.
Key Skills for This Role
Data scienceAdvanced analyticsSupervised machine learningUnsupervised machine learningPythonSQL
Full Job Posting
Position Overview
Serve as a Data Science Specialist in the Data Valorisation and Analytics team.
Use data science and advanced analytics to support growth, retention, client experience, and portfolio value.
Support insurance, marketing, and distribution business sectors with concrete, measurable solutions.
Responsibilities
- Design and deploy segmentation, propensity, attrition, and personalization analytics models.
- Recommend ways to optimize client interactions and sales-team efficiency.
- Partner with business teams to identify opportunities and transform data into solutions.
- Industrialize, monitor, and optimize models in production.
- Promote best practices in data science, governance, and risk management.
Prerequisites
- Relevant training in data science, mathematics, statistics, actuarial science, computer science, or a related field, plus 3 to 5 years of data science experience.
- Significant experience developing, deploying, and optimizing analytical models in production.
- Proficiency in supervised and unsupervised machine learning, Python, and SQL.
- Expertise in client segmentation, propensity modeling, attrition detection, recommendation, or personalization.
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