A career as a senior data scientist in the
Western Excellence Center AI and Transformation Delivery team at National Bank
means acting as a specialist in advanced analytics, machine learning, and
artificial intelligence solutions. This job allows you to have a positive impact
on our organization thanks to your experience in designing, deploying, and
operationalizing data science solutions that improve client experience,
strengthen risk management, and support operational efficiency.

Your role

- Frame high-impact analytics and
artificial intelligence mandates with partners, clarify business needs, and
translate them into concrete data science solutions.
- Design, develop, validate, and
deploy machine learning, statistical, and generative artificial intelligence
models, including large language model solutions and retrieval-augmented
generation.
- Perform exploratory data
analysis, feature engineering, model experimentation, and communicate findings
through clear recommendations that support decision-making.
- Implement model lifecycle
practices, including model operations, continuous integration and delivery,
monitoring, issue resolution, performance tracking, and audit-ready
documentation.
- Define and promote development
best practices, standards, reusable patterns, and strong documentation
practices for models, data lineage, assumptions, and artificial intelligence
processes.
- Support delivery activities
such as planning, testing, troubleshooting, demonstrations, training, and
knowledge transfer to help teams adopt new methods and tools.

Your team

Within the Western Excellence Center AI and
Transformation Delivery department, you are part of a multidisciplinary team




working closely with artificial intelligence, data governance, infrastructure,
information architecture, security, database and data warehouse administration,
business analysis, quality assurance, and business stakeholder teams. You
report to the management team and operate with autonomy within established
standards. Our team stands out for its focus on innovation, knowledge sharing, and
continuous improvement. We aim to offer you maximum flexibility to promote your
quality of life. This includes a hybrid work environment and a flexible,
adaptable schedule.

The Bank values continuous development and
internal mobility. Our personalized training programs, based on learning
through action, allow you to master your role 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.

Requirements

- Hold a degree in computer
science, engineering, data science, statistics, or another related field,
combined with 3 to 5 years of experience delivering production analytics or
machine learning solutions.
- Have experience with data
wrangling, preprocessing, visualization, extract-transform-load processes, and
tools such as SAS Viya or equivalent platforms.
- Have experience with model




management, model operations tools, continuous integration and delivery
pipelines, source control, and up-to-date development environments.
- Have practical knowledge of
containers, orchestration, cloud environments such as Amazon Web Services or
Microsoft Azure, and production deployment practices.

A career as a senior data scientist in the
Western Excellence Center AI and Transformation Delivery team at National Bank
means acting as a specialist in advanced analytics, machine learning, and
artificial intelligence solutions. This job allows you to have a positive impact
on our organization thanks to your experience in designing, deploying, and
operationalizing data science solutions that improve client experience,
strengthen risk management, and support operational efficiency.

Your role

- Frame high-impact analytics and
artificial intelligence mandates with partners, clarify business needs, and
translate them into concrete data science solutions.
- Design, develop, validate, and
deploy machine learning, statistical, and generative artificial intelligence
models, including large language model solutions and retrieval-augmented
generation.
- Perform exploratory data
analysis, feature engineering, model experimentation, and communicate findings
through clear recommendations that support decision-making.
- Implement model lifecycle
practices, including model operations, continuous integration and delivery,
monitoring, issue resolution, performance tracking, and audit-ready
documentation.
- Define and promote development
best practices, standards, reusable patt

📌 Senior Data Scientist (Edmonton)
🏢 National Bank of Canada
📍 Edmonton