Data scientist jobs in Vaughan, ON and nearby

Data scientist jobs within 25 km of Vaughan, ON, Canada. Nearby towns and cities are included. Distances are straight-line, not driving distances.

Counted Nov 4, 2026

Hiring at a glance

View jobs

Open jobs: 480
Employers: 223

Advertised starting pay

Average starting payCAD / year: $134,360Across 34 listings
Average starting payCAD / hour: $71.48Across 21 listings

Employer-advertised starting pay, not employee salaries. Currencies and pay periods stay separate.

Where work happens

Remote: 0%0 listings
Hybrid: 54%260 listings
On-site: 46%219 listings

Not specified: <1% (1 listing)

Employers hiring include TD (37), RBC (11), BMO (10).

Sources & calculation notes

These figures describe the listings on this role page at the date shown, not the whole job market. Listings can change.

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Hybrid and on-site classifications may be inferred from descriptions. Check the original ad. How we count

Data scientist jobs in Vaughan, ON and nearby

Within 25 km

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Added 1 month ago
H
Data Architect
Hays
Toronto, ON
- Contract
Added 1 month ago
CI
Student Intern, SCM Data Scientist
Celestica International LP
Toronto, ON
- $23 to $30 CAD / hour
Added 1 month ago
RC
Data Architect
Rules Cube
Toronto, ON
- Full-time
Added 1 month ago
R
Data Architect (MDM) - ERP Data Transformation
Resonaite
Toronto, ON
- Contract
We are seeking a Data Architect (Master Data Management) to support a large-scale ERP and enterprise data transformation program. The successful candidate will provide architecture and…
Added 1 month ago
SM
Senior Data Scientist
Spin Master Ltd
Toronto, ON
- Full-time
Added 1 month ago
I
Data Architect
Insight
Toronto, ON
- Full-time
Added 1 month ago
M
Field Data Scientist
Mastercard
Toronto, ON
- Full-time
Added 1 month ago
M
Lead Data Scientist
Mastercard
Toronto, ON
- Full-time
Added 1 month ago
T
Data Architect
TD
Toronto, ON
- Full-time
Added 1 month ago
AC
Data Scientist
Allstate Canada
Toronto, ON
- Full-time
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
O
Data Scientist, ONCAP - 12 Month Contract
Onex
Toronto, ON
- $45 to $60 CAD / hour
- Full-time
Added 1 month ago
UR
Lead, AI/Machine Learning Engineer
Urban Ridge Supplies
Toronto, ON
- Full-time
Added 1 month ago
UR
Machine Learning Engineer, Lyft Business & Ads
Urban Ridge Supplies
Toronto, ON
- Full-time
Added 1 month ago
UR
Machine Learning Engineer
Urban Ridge Supplies
Toronto, ON
- Full-time
…models into production, whether your title says ML engineer or data scientist,…
Added 1 month ago
D
Senior Data Scientist - Fraud Detection
DataVisor
Toronto, ON
- $120,000 to $150,000 CAD / year
- Full-time
…platform that supports easy consolidation and enrichment of any data, DataVisor's fraud and anti-money laundering (AML) solutions scale infinitely and enable organizations to act on…
Added 1 month ago
Senior Machine Learning Engineer- AIOS
Zafin
Toronto, ON
Added 1 month ago
JG
DATA ARCHITECT
J&M Group
Toronto, ON
- Contract
We are looking for a Data Architect with 8 10 years of Dynamics 365 CE/CRM experience, strong Azure integration, MuleSoft, APIs, SQL, Power Platform, and CRM architecture skills, plus…
Added 1 month ago
FB
Senior Data Architect
fgf brands
Toronto, ON
- Other
As Senior Data Architect, you will own and evolve the entire Data Analytics platform - the core engine that turns c
Added 1 month ago
OS
Sr. Data Scientist
Ontario Securities Commission
Toronto, ON
- Full-time
…and hands-on technical expertise in advanced analytics and data science. You will develop cloud-based analytics products, help shape the OSC’s analytics roadmap, and guide technical staff…
Added 1 month ago
TM
Principal Data Modeler/Analyst - Capital Markets
The Mirillion Group
Toronto, ON
- $150,000 to $200,000 CAD / year
- Full-time
Principal Data Modeler - Capital Markets Technology
Added 1 month ago
NB
Senior Data Scientist Implementation and Codification
National Bank of Canada
Richmond Hill, ON
- Full-time
As a Senior Data Scientist in the Credit Risk Analytics team at National Bank, you’ll be responsible for the IFRS 9 and stress testing model development and performance monitoring, as well…
Added 1 month ago
NB
Senior Data Scientist Model Developement and Validation
National Bank of Canada
Richmond Hill, ON
- Full-time
As a Senior Data Scientist in the Credit Risk Analytics team at National Bank, you’ll be responsible for the IFRS 9 and stress testing model development and performance monitoring, as well…
Added 1 month ago
Vice President, Data Scientist
BMO
Toronto, ON
Added 1 month ago
W
Machine Learning Scientist II - Marketing Optimization
Wayfair
Toronto, ON
- $168,960 to $188,776.5 CAD / year
- Full-time

Scotiabank

Data Scientist, AI & Machine Learning

Toronto, ON, M5H 1H1, Canada

Apply 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 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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