Jobs in Canada

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Added 1 month ago
MI
Marketing Technologist - AI & Automation
Morison Insurance Brokers Inc.
Hamilton, ON
- Full-time
…tools like Claude Code to solve problems that used to take a developer or a manual process. If you love building things, are fluent in modern AI tooling, and want the freedom to prototype…
Added 1 month ago
BB
Forward Deployed AI Engineer
Burjline Builders
Toronto, ON
- Full-time
Hybrid role with a minimum of 3 days per week in-office; 4 days preferred · Approximately 2–3 days per week of domestic travel to portfolio company locations
Added 1 month ago
EB
Analyst, Credit Risk Scoring
EQ Bank | Canada's Challenger Bank
Toronto, ON
- Full-time
Strong technical proficiency in SQL and Python, with demonstrated ability to manipulate, analyze, and interpret large datasets.
Added 1 month ago
EA
Senior Systems Engineer - Identity and Access Management
Electronic Arts (EA)
Vancouver, BC
- Full-time
You will automate identity operations and administration using scripting (eg. Python, PowerShell) and platform APIs (Microsoft Graph).
Added 1 month ago
PG
Java/python developer
Pacer Group
Toronto, ON
- Full-time
Design, develop, test, deploy, and maintain secure, scalable microservices, backend applications, and RESTful APIs using Java, Spring Boot, and Python.
Added 1 month ago
C
WiSE Winter 2027 Co-op: Business and Technology Consultant (Undergraduate Co-op)
CGI
Halifax, NS
- Full-time
Software Development (Java, Python, and other modern languages)
Added 1 month ago
C
Winter 2027 Co-op: Technical Development Consultant (Master's Co-op)
CGI
Halifax, NS
- Full-time
Added 1 month ago
ZC
Data Engineer
Zurich Canada
Toronto, ON
- Full-time
Build data transformations using Python and SQL, following established engineering standards and patterns.
Added 1 month ago
C
Winter 2027 Co-op: Business and Technology Consultant (Undergraduate Co-op)
CGI
Halifax, NS
- Full-time
Software Development (Java, Python, and other modern languages)
Added 1 month ago
Data Scientist, AI & Machine Learning
Scotiabank
Toronto, ON
…strategy, using cutting-edge Gemini prompting techniques and robust Python coding to solve high-impact business challenges. Success in this role requires strong communication,…
Added 1 month ago
Senior Data Analyst (Auth0)
Okta
Toronto, ON
Data engineering (Python, dbt, Kafka, Parquet, DuckDB, etc.)
Added 1 month ago
FB
Continuous Improvement Leader
fgf brands
Toronto, ON · Greater Toronto Area, ON
- Other
Six Sigma certification required, ideally SS Black Belt · Must have valid driver’s license and vehicle
Added 1 month ago
PG
Test Engineer
Pacer Group
Montreal, QC
- $45 to $48 CAD / hour
- Contract
Strong scripting skills using Python and Bash for automation and test execution.
Added 1 month ago
O
Senior Data Analyst (Auth0)
Okta
Toronto, ON
- $99,000 to $136,400 CAD / year
- Full-time
Data engineering (Python, dbt, Kafka, Parquet, DuckDB, etc.)
Added 1 month ago
XI
Principal Data Engineer
Xplore Inc
Markham, ON
- Full-time
Proficiency in Python and/or Scala, advanced SQL, and performance tuning for large-scale ELT.
Added 1 month ago
ZT
Computer Vision Software Developer, Professional II- Développeur ou Développeuse de Logiciels en Vision par Ordinateur II
Zebra Technologies
Montreal, QC
- Full-time
***Ce poste nécessite d'être sur place au bureau de Montréal, Canada (mode hybride – un minimum de 3 jours par semaine au bureau).***
Added 1 month ago
KL
AI Solutions Architect
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Langley (District), BC · Langley, BC
- Full-time
Added 1 month ago
D
Data Engineer (Databricks) - Consultant
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Toronto, ON
- Full-time
Proficiency in Python, Scala, or SQL for data engineering and analytics workloads
Added 1 month ago
Senior Software Developer, AI/ML GenAI, Google Cloud AI
Google
Waterloo, ON
5 years of experience programming in Python or C++.
Added 1 month ago
HT
Researcher – Agent Platform R&D
Huawei Technologies Canada Co., Ltd.
Markham, ON
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…evolution, module abstraction, toolchain construction, and developer experience…
Added 1 month ago
HT
Researcher - Computer Network for AI
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Added 1 month ago
S
Software Engineering LMTS
Salesforce
Vancouver, BC
- Full-time
Deep knowledge of object-oriented programming languages: Java, C++, Go, C#, Ruby, Scala, Python, Node.js, or JavaScript
Added 1 month ago
O
Senior Firmware Developer
onsemi
Waterloo, ON
- Full-time
Evaluate and apply AI capabilities in a disciplined and secure manner to improve developer productivity, code quality, and system understanding
Added 1 month ago
G
Python Fullstack Developer
Genpact
Montreal, QC
- $70,000 to $80,000 CAD / year
- Full-time
Inviting applications for the role of Principal Consultant, Python Engineer
Added 1 month ago
Senior Security Operations Engineer (Talent pool building)
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Proficiency in scripting languages (e.g., Python, Go).

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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Jobs in Canada