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About the Role

Scotiabank is seeking a highly specialized and innovative Data Scientist to join our Customer Insights Data and Analytics team. This role is central to building and deploying next-generation AI/ML products across the bank’s business lines, focusing on deriving powerful insights from multiple data sources and applying them to business opportunities. The ideal candidate will showcase superior storytelling while being an integral part of the organization’s AI/ML strategy, using cutting-edge Github Copilot and Gemini prompting techniques, and robust Python coding to solve high-impact business challenges.

Responsibilities

• Develop, test, and implement highly effective models optimized for specific document understanding tasks (e.g., data extraction, classification).
• Write and maintain high-quality Python code to preprocess, process, and analyze large volumes of structured and unstructured documents, building robust data pipelines.
• Design, build, and rigorously evaluate specialized machine learning models for document understanding, ensuring accuracy, fairness, and scalability.
• Create data visualizations and reports to communicate insights.
• Support Research & Development focused on the effective application of design thinking and advanced techniques.
• Support high-impact analytical use cases focused on supporting a wide variety of business lines, delivering AI/ML products that simultaneously provide value to customers and the organization.
• Collaborate with key stakeholders and partners to convert customer requirements into a scalable solution leveraging all available reusable components.
• Understand how the Bank’s risk appetite and risk culture should be considered in decision making related to model development and deployment.
• Collaborate seamlessly with data scientists, data engineers, software engineers, and ML product owners to implement scalable ML/AI products throughout the bank.

Requirements

• Expert-level proficiency in Python for data manipulation, statistical modeling, and pipeline development.
• Proven, hands-on experience designing and optimizing prompts for advanced large language models (specifically Gemini, or comparable LLMs) tailored for unstructured content analysis.
• Direct experience working with business stakeholders to formulate a
• Practical experience with ML/AI techniques, including supervised, unsupervised, and specifically deep learning and NLP methods.
• Experience with big data tools such as SQL, Hadoop, and Spark.
• Proven ability to ingest, clean, and work effectively with large volumes of structured and unstructured non-traditional data.
• Experience with DevOps principles and/or software engineering best practices (e.g., Git, continuous integration/delivery, Jira).
• Effective communication skills with the ability to prepare clear project documentation and compelling presentations.
• Ability to translate technical knowledge into tangible business value and collaborate effectively across technical and non-technical teams.
• Working knowledge of visualization tools such as Power BI.

Skills

• Python
• Gemini prompting techniques
• Github Copilot
• Data extraction
• Classification
• Data pipelines
• Machine learning
• Generative AI
• Python coding libraries
• Document AI
• AI/ML
• SQL
• Hadoop
• Spark
• DevOps
• Git
• Continuous integration/delivery
• Jira
• Power BI

Location

• Toronto, Ontario, Canada

Work Type

• Full-time

Experience Level

• Expert-level

Education Level

• University/Post graduate degree in a relevant STEM discipline (Science, Technology, Engineering, and Mathematics).

Benefits

• A competitive compensation and benefits package.
• An inclusive and collaborative working environment that encourages creativity, curiosity, and celebrates success!
• An organization committed to making a difference in our communities—for you and our customers.

About the Company

• Scotiabank is a leading bank in the Americas. Guided by our purpose: "for every future", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.
• At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone.

Equal Opportunity

• If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here.