Data scientist jobs in Canada (922 jobs)

Find data scientist jobs across Canada. Choose a place, compare current openings and read the employer’s requirements.

Counted Nov 6, 2026

Hiring at a glance

View jobs

Open jobs: 922
Employers: 451

Advertised starting pay

Average starting payCAD / year: $125,601Across 96 listings
Average starting payCAD / hour: $71.22Across 38 listings

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

Where work happens

Remote: 7%65 listings
Hybrid: 48%442 listings
On-site: 45%414 listings

Not specified: <1% (1 listing)

Employers hiring include TD (42), National Bank of Canada (20), Desjardins (14).

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 Canada

Email me new jobs Save this search

Added 14 days ago
C
Machine Learning Engineer Co-op
CIBC
Toronto, ON
- Full-time
Added 14 days ago
IS
Sr Data Modeler /Architect Role
Iris Software Inc.
Toronto, ON
- Contract
Iris's direct client, one of the leading Banking and Financial Company, is looking to hire a Sr Data Modeler /Architect Role for a long term opportunity at Toronto, ON (Hybrid Position).…
Added 15 days ago
AB
Data Scientist, Ricochet Anti-Cheat (Call of Duty)
Activision Blizzard
Vancouver, BC
- Other
Added 15 days ago
Senior Data Scientist - Commercial Banking Data & Analytics, Toronto
Scotiabank
Toronto, ON
We are seeking a highly analytical and technically skilled Senior Data Scientist to join our Commercial Banking Data & Analytics team. In this role, you will help support, enhance, and…
Added 15 days ago
Data Scientist, Decisions - Payments
Lyft
Toronto, ON
As a Data Scientist in the Pay, Integrity & Identity org, you will collaborate with our world-class team of engineers, product managers, analysts, and other data scientists to help build…
Added 15 days ago
T
Data Scientist II
TD
Toronto, ON · Ottawa, ON
- Full-time
Added 15 days ago
X
Data Scientist - Experimental Physics
Xanadu
Toronto, ON
- Full-time
Added 15 days ago
RB
Senior Data Scientist
Royal Bank of Canada
Toronto, ON
- Full-time
We are seeking a talented Data Scientist to join our team at RBC, where you will leverage data-driven insights to solve comple
Added 15 days ago
E
Machine Learning Engineer
EvenUp
Toronto, ON
- $130,000 to $205,000 CAD / year
- Full-time
Added 15 days ago
T
Senior Data Scientist – LLM Fine-Tuning (NLP, Contract)
TekRek
Canada
- Contract
This is a long-term contract for a senior data scientist to own the training side of a real-time conversational AI system. The system supports front-office staff during live client calls.…
Added 15 days ago
R
Senior Data Scientist
RBC
Toronto, ON
- Full-time
We are seeking a talented Data Scientist to join our team at RBC, where you will leverage data-driven insights to solve comple
Added 15 days ago
X
Staff Data Scientist - Decision Intelligence
Xanadu
Toronto, ON
- Full-time
Added 15 days ago
R
Senior Data Scientist
RBC
Toronto, ON
- Full-time
We are seeking a talented Data Scientist to join our team at RBC, where you will leverage data-driven insights to solve comple
Added 15 days ago
C
Machine Learning Specialist
Contextere
Ottawa, ON
- Full-time
Contextere is an Ottawa-based AI company helping industrial and defence organizations transform operational data into actionable intelligence for technicians, operators, maintainers, and…
Added 15 days ago
KR
Data Architect
KTek Resourcing
Toronto, ON
- $70 to $75 CAD / hour
- Contract
We are looking for a hands-on Data Architect to support a strategic data controls and governance initiative. This role will be responsible for assessing data flows, designing remediation…
Added 15 days ago
M
Machine Learning Engineer
Manulife
Toronto, ON
- Full-time
We are seeking an innovative and experienced Machine Learning Engineer to join our AI + Data team, a cross-functional group spanning Operations, Technology, and Marketing. Our team's…
Added 15 days ago
H
Senior Machine Learning Engineer
Hays
Toronto, ON · Greater Toronto Area, Canada
- Contract
Added 15 days ago
SL
Senior Data Scientist
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto One York
- Full-time
Added 15 days ago
IS
Data Modeler
Iris Software Inc.
Toronto, ON
- Contract
Iris’s leading financial client is looking for Data Modeler to join their team at Toronto, ON(Hybrid) location.
Added 15 days ago
NB
Senior Data Scientist, Credit Risk
National Bank of Canada
Richmond Hill, ON
- Full-time
A career as a Senior Data Scientist, Model Development and Risk Production in the Credit Risk Analytics team at National Bank means acting as a hands-on subject matter expert in credit risk…
Added 16 days ago
W
Machine Learning Scientist I
Wayfair
Toronto, ON
- $132,440 to $145,684 CAD / year
- Full-time
Added 16 days ago
T
Data Scientist - Credit Risk (ATH 5531)
TD
Toronto, ON
- Full-time
Added 16 days ago
P
Lead Data Scientist, Innovation Lab
PakEnergy
Calgary, AB
- Full-time
The Lab's mandate is simple: find the highest-value problems our customers face, prove solutions quickly with working prototypes built on real operational energy data, a
Added 16 days ago
Q
Machine Learning Engineer, AI Processors
Qualcomm
Markham, ON
- Full-time
Added 16 days ago
ZC
Machine Learning Engineer
Zurich Canada
Toronto, ON
- Full-time

Scotiabank

Senior Data Scientist - Commercial Banking Data & Analytics, Toronto

Toronto, ON, M5H 1H1, Canada

Apply About employer

Applications open in a new tab.

Job details

Posting language: English
Posted: Sep 29, 2026

Original job description

Requisition ID: 275108

Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

About the Opportunity:

We are seeking a highly analytical and technically skilled Senior Data Scientist to join our Commercial Banking Data & Analytics team. In this role, you will help support, enhance, and modernize a critical predictive modeling and analytics platform used by Commercial Banking and Risk partners across the organization.

Working closely with the Lead Data Scientist, you will play a key role in ensuring the stability, integrity, and evolution of business-critical analytical capabilities. This is an opportunity to work with complex data ecosystems, advanced predictive models, enterprise-scale datasets, and emerging AI technologies while partnering with stakeholders across Analytics, Credit, Risk, Data, and Technology teams.

If you thrive on solving complex problems, uncovering insights in large datasets, and strengthening analytical solutions that influence business decisions, we'd love to hear from you.

How You Will Make an Impact:

As a Senior Data Scientist, you will:

Support the operation, maintenance, and enhancement of a critical enterprise analytics and predictive modeling platform
Monitor, assess, and improve model performance, including recalibration, validation support, and methodology enhancements
Investigate and resolve complex data quality, model output, and production issues through structured root-cause analysis
Develop a deep understanding of data lineage, feature engineering, business rules, and source-system dependencies
Collaborate with Commercial Banking, Credit Risk, Data, and Technology teams to deliver platform enhancements and support production operations
Contribute to platform modernization initiatives and help identify opportunities to streamline legacy analytical processes
Support governance, documentation, controls, and model risk management activities
Establish and promote best practices in model development, testing, monitoring, deployment, and reproducibility
Serve as a key partner and backup to the Lead Data Scientist, ensuring continuity of critical analytical capabilities
Explore opportunities to leverage advanced analytics, Generative AI, and emerging AI technologies to create business value

What You Will Bring to the Team:

Extensive experience in Data Science, Predictive Modeling, Machine Learning, or a related quantitative field
Proven experience supporting complex analytics platforms, predictive models, or enterprise data solutions in production environments
Strong expertise in statistical modeling, model monitoring, performance evaluation, validation support, and model interpretation
Advanced Python and SQL skills, with experience performing large-scale data analysis, feature engineering, and production support
Experience working with enterprise datasets, data quality management, lineage analysis, and data transformation processes
Strong understanding of machine learning operations, production data pipelines, testing frameworks, version control, and deployment practices
Excellent problem-solving skills with the ability to work through ambiguity and independently investigate complex technical issues
Strong communication and stakeholder management skills, with the ability to translate technical concepts into business insights
A collaborative mindset and demonstrated ability to work across multidisciplinary teams

Must-Have:

University degree in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related quantitative discipline
Significant hands-on experience in data science, machine learning, or advanced analytics
Advanced proficiency in Python and SQL
Experience supporting production-level analytical or predictive modeling solutions
Experience with model governance, documentation, controls, validation, or model risk management practices
Strong understanding of enterprise data environments and analytical workflows

Nice-to-Have:

Master's degree in a quantitative discipline
Experience with Azure Databricks, Google Cloud Platform (GCP), and BigQuery
Experience within Financial Services, Commercial Banking, Credit Risk, Portfolio Management, or Early Warning Analytics
Exposure to Generative AI, Large Language Models (LLMs), agentic workflows, or AI-assisted development
Experience working within regulated environments.

What's In It for You:

Opportunity to support and influence business-critical analytics used by Commercial Banking and Risk leaders
Exposure to complex enterprise datasets, predictive models, and advanced analytical environments
Collaborative work with senior stakeholders across Analytics, Credit, Risk, Data, and Technology teams
Opportunity to contribute to platform modernization and emerging AI initiatives
A challenging and rewarding environment that values innovation, analytical rigor, and continuous learning

Ready to Apply?

If you're passionate about leveraging data, predictive modeling, and AI to solve complex business challenges while driving meaningful impact, we encourage you to apply and join our Commercial Banking Data & Analytics team.

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.

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 Senior Data Scientist will support, enhance, and modernize critical predictive modeling and analytics platforms for Commercial Banking and Risk teams. They will also monitor model performance, resolve production issues, and collaborate with cross-functional teams to deliver platform enhancements.

Requirements

Candidates must have a university degree in a quantitative discipline and significant hands-on experience in data science or machine learning. Proficiency in Python and SQL, along with experience in model governance and production-level analytical solutions, is required.

Skills

Python
SQL
Predictive modeling
Machine learning
Data science
Statistical modeling
Model monitoring
Model validation
Data quality management
Feature engineering
Data lineage
Generative AI
Model governance
Risk management
Stakeholder management
Production support

Benefits

Professional development
Inclusive work environment
Collaborative team culture

Visa sponsorship

Not detected in the job text

Keywords

Data Science
Predictive Modeling
Machine Learning
Python
SQL
Commercial Banking
Credit Risk
Model Governance
Azure Databricks
Google Cloud Platform
BigQuery
Generative AI
Large Language Models
Data Lineage
Feature Engineering
Model Validation
Risk Management
Portfolio Management
Production Pipelines
Root-cause Analysis
Data Transformation
Analytical Platforms
Enterprise Datasets
Version Control
Testing Frameworks
Agentic Workflows
Financial Services
Model Interpretation
Performance Evaluation
Modernization

Report this job