IT & data jobs in Canada

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Added 1 month ago
Data Scientist, AI & Machine Learning
Scotiabank
Toronto, ON
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…
Added 1 month ago
Senior Data Analyst (Auth0)
Okta
Toronto, ON
Within the Data organization, the Data Enablement team is chartered with creating scalable semantic models that make it safe for anyone to see and understand data. By partnering with…
Added 1 month ago
O
Senior Data Analyst (Auth0)
Okta
Toronto, ON
- $99,000 to $136,400 CAD / year
- Full-time
Within the Data organization, the Data Enablement team is chartered with creating scalable semantic models that make it safe for anyone to see and understand data. By partnering with…
Added 1 month ago
TC
Technical Business Analyst
Tata Consultancy Services
Toronto, ON
- $100,000 to $120,000 CAD / year
- Full-time
Strong data analysis skills, including querying, validating, and interpreting datasets.
Added 1 month ago
XI
Principal Data Engineer
Xplore Inc
Markham, ON
- Full-time
This role is for an experienced technical leader to lead the technical roadmap and upskill the Xplore data engineering team. You will define the end-to-end data platform (ingestion,…
Added 1 month ago
D
Data Engineer (Databricks) - Consultant
Deloitte
Toronto, ON
- Full-time
Ready to shape the future of data and analytics? Join our team of innovative professionals who are helping organizations unlock the power of their data through cutting-edge Lakehouse…
Added 1 month ago
CT
Data Analyst (Two Open Roles)
Canadian Tire Corporation
Mississauga, ON
- Full-time
Lead and support data migration initiatives, including transitioning data from SQL Server environments to enterprise data warehouses (e.g., IHUB), ensuring scalable, reliable, and…
Added 1 month ago
MI
Systems Administrator
Magna International
Concord, ON
- Full-time
Ensure data integrity, availability, and security across all storage platforms.
Added 1 month ago
CT
Data Analyst (Two Open Roles)
Canadian Tire Corporation
Mississauga, ON
- Full-time
Lead and support data migration initiatives, including transitioning data from SQL Server environments to enterprise data warehouses (e.g., IHUB), ensuring scalable, reliable, and…
Added 1 month ago
FG
Cloud Database Administrator - 12-Month Contract
FNZ Group
Toronto, ON · CA Toronto Yonge St
- $79,000 to $110,000 CAD / year
- Full-time
Implement automated backup and disaster recovery pipelines to protect critical data.
Added 1 month ago
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Data Engineer, Early Career - 2026 (CAN)
Amazon
Toronto, ON
- Full-time
Design data schema and operate internal data warehouses and SQL/NoSQL database systems.
Added 1 month ago
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Cloud Database Administrator - 12-Month Contract
FNZ
Toronto, ON
- $79,000 to $110,000 CAD / year
- Full-time
Implement automated backup and disaster recovery pipelines to protect critical data.
Added 1 month ago
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Senior Business Systems Analyst (12-Month Contract)
Vancity
Vancouver, BC
- Full-time
Analyzing complex data sets to support decision-making, identify efficiencies, and continuously improve business processes and technical solutions
Added 1 month ago
A
Staff / Lead Data Engineer - Bidding (Bangkok based, relocation provided)
Agoda
Toronto, ON
- Full-time
No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build…
Added 1 month ago
CB
Auditeur(trice) junior | Junior Auditor
Crowe BGK
Westmount, QC
- Full-time
Added 1 month ago
Senior Data Engineer - Toronto
Trisura Guarantee Insurance Company
Toronto, ON
We are currently seeking a driven and collaborative Senior Data Engineer to join our forward-thinking Data and Analytics team.
Added 1 month ago
IM
Senior Data Engineer, Risk Technology
Investment Management Corporation of Ontario (IMCO)
Toronto, ON
- Full-time
Risk Technology is part of the Data Technology group and partners primarily with Investment Risk to deliver technology, data, analytics, reporting, and production-support capabilities…
Added 1 month ago
H&
Data Analyst
Helic & Co
Canada
- Full-time
We are seeking a detail-oriented and analytical Data Analyst to collect, organize, analyze, and interpret data to support informed business decisions. The successful candidate will…
Added 1 month ago
JG
Database Administrator
J&M Group
Canada
- Contract
Added 1 month ago
O
Data Scientist, ONCAP - 12 Month Contract
Onex
Toronto, ON
- $45 to $60 CAD / hour
- Full-time
ONCAP is seeking a Data Scientist to support the AI, Analytics, and Data function within one of its portfolio companies. The selected candidate will be assigned to a specific portfolio…
Added 1 month ago
TT
Senior Data Analyst
Tamanna Technology
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Proficiency in SAS Base, SAS SQL, macros, and data processing.
Added 1 month ago
Senior Data Analyst
Alberta Innovates / InnoTech Alberta
Edmonton, AB
The Senior Data Analyst is an opportunity to be part of a professional, purpose-driven team that values collaboration, innovation, accountability, and continuous improvement. Most…
Added 1 month ago
M
Analyste des systèmes d’affaires/Business Systems Analyst
McKesson
Montreal, QC
- Full-time
Added 1 month ago
T
Bilingual Business Systems Analyst - D365
Telecon
Vaughan, ON
- Full-time
Added 1 month ago
TC
Data Engineer
Tata Consultancy Services
Montreal, QC
- Full-time
We are seeking an experienced Data Engineer with a strong background in Asset Management to handle enterprise-scale data engineering initiatives. The ideal candidate will be responsible for…

Scotiabank

Data Scientist, AI & Machine Learning

Toronto, ON, M5H 1H1, Canada

Apply on jobs.scotiabank.com About employer

Applications open in a new tab.

Job details

Posting language: English
Posted: Sep 24, 2026

Original job description

Requisition ID: 274714

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. Success in this role requires strong communication, collaboration, and stakeholder engagement skills, as you will frequently partner with business leaders, technical teams, and cross-functional stakeholders across the bank.

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 new, 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 DevOps 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.

Location(s): Canada : Ontario : Toronto

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. 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. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

Apply on jobs.scotiabank.com About employer

More about this job

Responsibilities

The Data Scientist will develop and deploy advanced AI/ML products, specifically leveraging Large Language Models to process and extract value from complex unstructured documents. They will collaborate with cross-functional teams to implement scalable solutions while adhering to the bank's risk management standards.

Requirements

Candidates must possess expert-level proficiency in Python and hands-on experience with LLMs like Gemini for document analysis. A university or postgraduate degree in a STEM discipline is required, along with strong communication skills and experience in big data technologies.

Skills

Python
Large Language Models
Gemini
Machine Learning
Natural Language Processing
Document AI
Data Extraction
SQL
Hadoop
Spark
DevOps
CI/CD
Agile
Power BI
Statistical Modeling
Deep Learning

Visa sponsorship

Not detected in the job text

Keywords

Data Scientist
Artificial Intelligence
Machine Learning
Large Language Models
Gemini
Python
Document AI
OCR
Information Extraction
Supervised Learning
Unsupervised Learning
Deep Learning
NLP
SQL
Hadoop
Spark
DevOps
Git
CI/CD
Agile
STEM
Power BI
Data Pipelines
Statistical Modeling
Risk Management
Stakeholder Management
Generative AI
Data Manipulation
Software Engineering
Analytical Use Cases

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IT & data jobs in Canada