Description
A career as a senior data scientist in the commercial banking analytics team at National Bank means contributing to portfolio growth by putting your expertise in predictive modeling and data science at the service of acquisition, retention and customer value maximization strategies. This job allows you to make a concrete impact on business performance through your analysis, strategic recommendations and value-added models.
Your job
- Develop predictive models and segmentations to prioritize new customer acquisition and optimize profitable customer retention
- Design analytics solutions that support targeted campaigns, personalized recommendations, and cross-selling strategies
- Analyze customer behaviors, transactions, and product usage to identify growth levers
- Collaborate with sales, marketing, and product teams to translate data into actionable and effective actions
- Track the performance of business initiatives using relevant and robust metrics
- Drive end-to-end data science projects to improve customer lifetime value and reduce churn
- Supporting data scientists and promoting analytical best practices
- Present analytical results clearly to stakeholders to support business decisions
- Ensure model compliance with regulatory requirements and data governance standards
Your team
Be part of a dynamic team of 20 analytics and data science professionals dedicated to growing the business portfolio. Together, we combine rigor, innovation and collaboration to support business teams in achieving their objectives. Our environment is stimulating, human, and conducive to continuous learning. You will benefit from an excellent work-life balance, and a close relationship with the marketing, sales and product teams.
The Bank values continuous development and internal mobility. Our personalized training programs, based on learning in action, allow you to master your craft and develop new areas of expertise. Tools such as the Data Academy, language training, the Harvard Learning Center, and coaching and mentoring support are available to you at all times.
Prerequisite
- Master's or PhD in data science, statistics, economics, finance, computer science or any related quantitative field
- Minimum of 5 years of experience in data science applied to customer analytics, sales optimization, or revenue growth
- Expertise in segmentation, propensity modeling, attrition prediction and recommendation systems
- Proficiency in Python, SQL and/or SAS, and experience with visualization tools (Tableau, Power BI, etc.)
- Good knowledge of commercial banking products, customer lifecycle and CRM data
Your benefits In addition to competitive compensation, upon hiring you’ll be eligible for a wide range of flexible benefits to help promote your wellbeing and that of your family. * Health and wellness program, including many options * Flexible group insurance * Generous pension plan * Employee Share Ownership Plan * Employee and Family Assistance Program * Preferential banking services * Opportunities to get involved in community initiatives * Telemedicine service * Virtual sleep clinic These are a few of the benefits available to you. We have an offer that keeps up with trends as well as your needs and those of your family. Our dynamic work environments and cutting-edge collaboration tools foster a positive employee experience. We actively listen to employees’ ideas. Whether through our surveys or programs, regular feedback and ongoing communication is encouraged. We're putting people first We're a bank on a human scale that stands out for its courage, entrepreneurial culture, and passion for people. Our mission is to have a positive impact on peoples' lives. Our core values of partnership, agility, and empowerment inspire us, and inclusivity is central to our commitments. We offer a barrier-free workplace that is accessible to all employees. We want our recruitment process to be fully accessible. If you require accommodation, feel free to let us know during your first conversations with us. We welcome all candidates! What can you bring to our team? Come live your ambitions with us!
