Senior Data Scientist Job Toronto area,Ontario Canada,IT/Tech

Is this role right for you?

In this role you will:

Build & Ship AI Products (Core Focus)

Design, develop, and deploy production-grade AI applications
, including both enhancements to existing platforms and net-new AI products.

Write high-quality Python and SQL to support data analysis, model development, prompt engineering, and system integration.

Own your solutions end-to-end — from ideation through development, deployment, monitoring, and iteration.

Lead AI Architecture Decisions

Evaluate and define the technical architecture for AI solutions, including: RAG pipelines and vector-based retrieval Agentic and workflow-oriented GenAI systems Financial modeling and analytical algorithms

Assess technical trade-offs across build vs. buy, model selection, infrastructure, cost, latency, and risk.

Partner with platform, security, and data teams to ensure solutions are scalable, secure, and compliant.

Translating Business Needs into Technical Solutions

Engage directly with business users to understand real-world problems and workflows.

Translate ambiguous or complex requirements into clear technical designs and implementation plans.

Collaborate cross-functionally with product, platform, security, and governance teams to shape AI product direction.

Do you have the skills that will enable you to succeed in this role? We’d love to work with you if you have:

5+ years of experience delivering data science, machine learning, or applied AI solutions in large, complex environments.

Strong foundation in machine learning, statistical modeling, and data science
, including experience with generative AI systems.

Hands-on expertise in Python and SQL
, with experience working with large and complex datasets.

Experience designing or contributing to production AI systems
, not just experiments or POCs.

Ability to evaluate architectural trade-offs and make sound technical decisions aligned with business goals.

Degree in Mathematics, Computer Science, Engineering, Physical Sciences, or a related quantitative field (or equivalent experience).

Comfortable collecting and incorporating feedback from users to continuously improve the product.

Able to work in an Agile environment and adapt quickly to shifting priorities or direction

Strong collaboration skills, with a willingness to work closely with engineers, designers, and product managers.

Curious and eager to learn new technologies, tools, and best practices.

What's in it for you?

Diversity, Equity, Inclusion & Allyship - We strive to create an inclusive culture where every employee is empowered to reach their fullest potential, respected for who they are, and are embraced through bias-free practices and inclusive values across Scotiabank. We embrace diversity and provide opportunities for all employee to learn, grow & participate through our various Employee Resource Groups (ERGs) that span across diverse gender identities, ethnicity, race, age, ability & veterans.

Accessibility and Workplace Accommodations - 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. Scotiabank continues to locate, remove and prevent barriers so that we can build a diverse and inclusive environment while meeting accessibility requirements.

Upskilling through online courses, cross-functional development opportunities, and tuition assistance.

Competitive Rewards program including bonus, flexible vacation, personal, sick days and benefits will start on day one.

Dynamic Ecosystem - Free tea & coffee, universal washrooms, and lots of space for team collaboration.

Community Engagement - We offer opportunities for community engagement & belonging with our various programs such as hackathons.