Data Scientist – AI/ML for Document Understanding
Banque Scotia · Toronto
Job description
About the role
Scotiabank is looking for a highly specialized Data Scientist to join the Customer Insights Data & Analytics team. You will design, build and deploy next‑generation AI/ML solutions that extract insights from structured and unstructured documents, driving business value across the bank.
Key responsibilities
- Develop, test and implement machine‑learning models for document understanding tasks such as data extraction and classification.
- Write and maintain high‑quality Python code to preprocess, process and analyze large volumes of data, creating robust data pipelines.
- Design, evaluate and scale specialized ML models, ensuring accuracy, fairness and compliance with the bank’s risk appetite.
- Create visualizations and reports to communicate insights to business stakeholders.
- Stay current with advances in generative AI, Python libraries and Document AI best practices.
- Collaborate with data engineers, product managers and other stakeholders to translate business needs into scalable AI solutions.
Required profile
- Strong storytelling ability to translate complex data insights into business impact.
- Experience working on production‑grade AI/ML models within a regulated environment.
- Excellent communication skills for presenting technical results to non‑technical audiences.
- Ability to work collaboratively across multidisciplinary teams.
Required skills
- Python programming
- Machine Learning and Deep Learning techniques
- Document AI / Document Understanding
- Data pipeline development
- Data visualization tools
- GitHub Copilot
- Google Gemini prompting
What we offer
- Opportunity to work on high‑impact AI products in a leading financial institution.
- Inclusive, high‑performing culture focused on results and innovation.
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Published 3 hours ago
Expires 1 month from now
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Banque Scotia
Toronto
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