Scientist - Data, Global Artificial Intelligence & ML
Bank of Nova Scotia - Toronto
Posted Jun 12, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
- Not verified
- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
- Not verified
- Relocation assistance
- Not verified
- Childcare support
- Not verified
- Learning budget
- Not verified
- Verification
- Not verified checked Jun 7, 2026
- Salary
- Not verified
- 401(k) match
- Reported from DOL Form 5500 industry filing (not employer-specific)
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Market context
- U.S. role benchmark (BLS OEWS)
- $111,944 U.S. median for this role
- Projected growth (BLS Employment Projections)
- +13.7% - Much faster than average
Matched to SOC 15-1252 - Data and ML aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Role
Schedule
- Shift type
- Not verified
- Weekend work
- Not verified
Application
- Cover letter
- Not verified
- Assessment
- Not verified
- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Scientist - Data, Global Artificial Intelligence & ML Toronto Requisition ID: 261586 Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture. Overview Scotiabank is seeking a highly specialized and innovative Data Scientist to join our Global Artificial Intelligence and Machine Learning team. This role is central to building and deploying next-generation AI/ML products across the bank's business lines, focusing specifically on leveraging advanced Large Language Models (LLMs) to transform how we process, understand, and extract value from complex, unstructured documents. The ideal candidate will be an integral part of the organization's AI/ML strategy, using cutting-edge Gemini prompting techniques and robust Python coding to solve high-impact business challenges. 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 working production models and will be responsible for creating new, high-impact AI/ML solutions. Understand how the Bank's risk appetite and risk culture should be considered in decision making Key Responsibilities Technical Delivery and Development: Develop,
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