About The Company
The National Bank of Canada is a leading financial institution committed to providing innovative banking solutions and exceptional customer service. With a rich history and a strong presence across Canada, the bank prides itself on fostering a culture of integrity, collaboration, and continuous growth. Our mission is to help individuals, businesses, and communities thrive by offering tailored financial products and services that meet their unique needs. We emphasize diversity, inclusion, and sustainability as core values, ensuring our organization remains dynamic and forward-looking in a rapidly evolving financial landscape.
About The Role
We are seeking a highly skilled Senior Data Scientist to join our Western Excellence Center AI and Transformation Delivery team. This role offers an exciting opportunity to lead the development and deployment of advanced analytics, machine learning, and artificial intelligence solutions that directly impact our organization’s operations, client experience, and risk management. As a key member of our multidisciplinary team, you will collaborate with various stakeholders to translate complex business needs into innovative data science solutions, utilizing the latest technologies and methodologies. Your expertise will support the bank’s strategic initiatives by designing models, implementing best practices, and ensuring operational excellence in data science projects.
Qualifications
The ideal candidate will hold a degree in computer science, engineering, data science, statistics, or a related field, complemented by 3 to 5 years of experience in delivering production-level analytics or machine learning solutions. Proficiency in programming languages such as Python, SQL, Rust, JavaScript, C, C++, SAS, or R is essential, along with experience working with relational databases. Candidates should have a solid understanding of data wrangling, preprocessing, visualization, and ETL processes, with familiarity with platforms like SAS Viya or equivalent. Practical knowledge of model management, CI/CD pipelines, source control, containerization, orchestration, and cloud environments such as AWS or Azure is required. Strong analytical skills, problem-solving abilities, and effective communication are vital for success in this role.
Responsibilities
- Frame high-impact analytics and AI mandates by engaging with partners to understand business needs and translating them into actionable data science solutions.
- Design, develop, validate, and deploy machine learning, statistical, and generative AI models, including large language models and retrieval-augmented generation techniques.
- Perform exploratory data analysis, feature engineering, and model experimentation, communicating insights and recommendations clearly to support strategic decision-making.
- Implement comprehensive model lifecycle practices, including deployment, monitoring, issue resolution, performance tracking, and maintaining audit-ready documentation.
- Establish and promote best practices, standards, reusable patterns, and documentation practices for models, data lineage, assumptions, and AI processes.
- Support delivery activities such as planning, testing, troubleshooting, demonstrations, training, and knowledge transfer to facilitate adoption of new tools and methodologies by teams.
Benefits
Joining our team offers a competitive compensation package along with a comprehensive range of benefits designed to support your well-being and work-life balance. These include a health and wellness program with various options, flexible group insurance plans, and a generous pension plan. Employees are also eligible for the Employee Share Ownership Plan, employee and family assistance programs, and preferential banking services. We encourage participation in community initiatives and provide access to telemedicine services, a virtual sleep clinic, and other innovative health resources. Our flexible work environment, including hybrid work arrangements and adaptable schedules, fosters a positive and productive employee experience. We are committed to continuous development, offering personalized training programs, learning platforms like the Data Academy, language courses, coaching, and mentoring to help you grow professionally and personally.
Equal Opportunity
The National Bank of Canada is dedicated to fostering an inclusive and accessible environment for all employees and candidates. We value diversity and are committed to equitable hiring practices, ensuring that everyone has an equal opportunity to succeed. We strive to provide accommodations throughout the recruitment process and are happy to support candidates with specific needs. Our organization believes that a diverse workforce enhances innovation and drives better decision-making, and we actively promote a culture of inclusion, respect, and empowerment. We welcome applications from individuals of all backgrounds and experiences, and we look forward to welcoming you to our team.
