Is this role right for you? In this role, you will: The Data Scientist will be a core member of the Global AI/ML team, focused on creating value for both the bank and its customers through AI-driven products.

You will work closely with a diverse team of data scientists, data engineers, AI/ML product managers, and software developers to understand business partner challenges and processes, turning those insights into scalable, working solutions.

You will have direct exposure to production models and will be responsible for designing and delivering current, high-impact AI/ML solutions while considering the Bank’s risk appetite and risk culture in all decision-making.

Technical Delivery and Development 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.

Collaborate with Data Engineers and Software Developers to develop and deploy document understanding solutions efficiently and reliably into production environments.

Stay up to date on the latest advances in generative AI, Python coding libraries, machine learning best practices, and the field of Document AI.





Support Research & Development initiatives focused on applying design thinking and advanced AI/ML techniques to solve business challenges.

Collaboration and Strategy Support high-impact analytical use cases across a diverse set of business lines, delivering AI/ML products that create value for both customers and the organization.

Collaborate with key stakeholders and partners to define, promote, and enforce machine learning and artificial intelligence best practices across the organization.

Understand how the Bank’s risk appetite and risk culture should be considered in decision-making related to model development and deployment.

Work seamlessly with Data Scientists, Data Engineers, Software Engineers, and AI/ML Product Managers to implement scalable AI/ML solutions across the bank.

Communicate project progress, technical concepts, and business value clearly to both technical and non-technical stakeholders.

Do you have the skills that will enable you to succeed in this role? We'd love to work with you if you have: 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 structured document analysis.

Direct experience with document understanding tasks, including working with unstructured text, OCR output, and information extraction from complex forms, records, or contracts.

Practical experience with ML/AI techniques, including supervised learning, unsupervised learning, deep learning, and Natural Language Processing (NLP).

Experience with big data tools and technologies such as SQL, Hadoop, and Spark.

Proven ability to ingest, clean, and work effectively with large volumes of structured and unstructured data.

Experience with Dev

Ops principles and software engineering best practices, including Git, CI/CD pipelines, and Agile delivery methodologies.

University degree or postgraduate degree in a STEM discipline (Science, Technology, Engineering, Mathematics, Statistics, Computer Science, or a related field).

Effective communication skills with the ability to prepare clear project documentation and deliver compelling presentations.

Ability to translate complex technical concepts into tangible business value and collaborate effectively across technical and non-technical teams.

Working knowledge of visualization and reporting tools such as Power BI.

Strong communication and stakeholder management skills, with the ability to clearly articulate complex technical concepts to both technical and non-technical audiences and build effective working relationships across the organization.

📌 Data Scientist, AI & Machine Learning (Toronto)
🏢 Scotiabank
📍 Toronto