Data scientist jobs in Canada (923 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: 923
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%443 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

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Added 1 month ago
D
Financial Crime Data Scientist
Desjardins
Montreal, QC
- Full-time
Added 1 month ago
OC
Business Intelligence & Data Architect
OpenCircle Contractors Association
Edmonton, AB
- Contract
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
PT
Machine Learning Engineer
PTx Trimble
Winnipeg, MB
- Full-time
Added 1 month ago
NV
Senior Data Scientist (ID#5536)
New Value Solutions
Canada
- Contract
New Value Solutions (NVS), a national IT consulting firm, is seeking an experienced Senior Data Scientist / Predictive Analytics Lead to support a major Canadian airline on a Finance…
Added 1 month ago
S
Data Architect - Montreal
Slalom
Montreal, QC
- Full-time
Added 1 month ago
FF
Principal Data Scientist
Forward Financing
Remote, Canada
- Full-time
- Remote
Added 1 month ago
Senior Quantitative Analyst
Equitable
Waterloo, ON
Added 1 month ago
Machine Learning Engineer
AGCO
Winnipeg, MB
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 · FCP
Added 1 month ago
CT
Senior Data Scientist
Canadian Tire Corporation
Oakville, ON
- Full-time
Added 1 month ago
W
Machine Learning Scientist II - Marketing Optimization
Wayfair
Toronto, ON
- $168,960 to $188,776.5 CAD / year
- Full-time
Added 1 month ago
B
Data Scientist
BMO
Toronto, ON · FCP
- Full-time
…mine and analyze large sets of structured and unstructured data to obtain insights. Designs and constructs new processes for modeling data. Develops predictive models and leverages big data…
Added 1 month ago
B
Machine Learning Engineer
BMO
Toronto, ON · FCP
- Full-time
…learning and making predictions to business requirements. Enhances data pipelines and lakes to ensure data is clean, accurate, and optimized for machine learning models. Monitors,…
Added 1 month ago
H
Principal Data Architect
Hays
Toronto, ON
- Contract
…lead the design and implementation of scalable cloud-native data and integration solutions on the Azure platform. The ideal candidate will possess deep expertise in Azure Databricks, ADLS,…
Added 1 month ago
NB
Senior Data Scientist Production and Reporting Lead
National Bank of Canada
Richmond Hill, ON
- Full-time
As a Senior Data Scientist in National Bank’s IFRS-9 and Credit Risk Analytics team, you will be responsible for IFRS-9 reporting, risk analytics, process development, and risk data…
Added 1 month ago
U
Data Architect
Univeris
Toronto, ON
- Full-time
Added 1 month ago
U
Data Architect
Univeris
Toronto, ON
- $130,000 to $150,000 CAD / year
- Full-time
Added 1 month ago
M
Senior Data Scientist
Moneris
Toronto, ON
- Full-time
As the Senior Data Scientist, you will lead impactful data science initiatives that move strategic decision-making and product innovation. You will focus on developing and deploying…
Added 1 month ago
L
Data Architect
Lantern
Calgary, AB · Greater Calgary Metropolitan Area
- Full-time
Added 1 month ago
Data Architect
Lantern
Calgary, AB · Edmonton, AB · Toronto, ON
Added 1 month ago
PX
Senior Machine Learning Engineer –AI & Agentic Systems
Project X
Toronto, ON
- Full-time
Project X Ltd. builds high-performing teams of talented, client-focused problem solvers who thrive on complex data challenges. Guided by our values of Care, Bravery, Excellence, and…

Moneris

Senior Data Scientist

Toronto, ON, Canada

Salary Range: The expected base salary range for this role is $128,000 - $154,000. · Full-time

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Applications open in a new tab.

Job details

Pay: Salary Range: The expected base salary range for this role is $128,000 - $154,000.
Job type: Full-time
Experience: Minimum of 5 years of experience in data science and machine learning; advanced analytics experience is a PLUS.
Posting language: English
Posted: Sep 17, 2026

Original job description

Your Moneris Career - The Opportunity

As the Senior Data Scientist, you will lead impactful data science initiatives that move strategic decision-making and product innovation. You will focus on developing and deploying advanced analytical models, conducting experimentation, and uncovering applicable insights from complex datasets.

You are a curious and collaborative problem-solver who excels in a fast-paced environment. You will work closely with cross-functional teams - including engineering, product, and analytics - to design and implement scalable machine learning solutions, support business strategy with data-driven insights, and help shape the future of data science at our organization.

You will emphasize data science and AI, focusing on developing, validating, and deploying models to solve complex business problems. A strong foundation in working with data is important, but the primary focus is on analytical rigor, experimentation, and delivering actionable insights.

Location: You will be based in our Toronto office, balancing in-office collaboration with remote flexibility.

Reporting Relationship: You will report to the Manager, Data Science.

Posting Type: Replacement Position.

Salary Range: The expected base salary range for this role is $128,000 - $154,000.

Total compensation may also include variable or discretionary incentive components, including but not limited to bonuses and commissions. Individual job offers are determined by various factors, including experience, education, skills, certifications, and other business needs.

Your Moneris Career - What you'll do

Develop and deploy machine learning models to solve complex business problems, ensuring scalability, performance, and alignment with strategic goals.
Apply statistical and machine learning techniques to extract insights, forecast outcomes, and support decision-making across the organization.
Collaborate with cross-functional teams to uphold best practices in code quality, documentation, testing, and reproducibility.
Explore and implement the latest AI approaches, including Retrieval-Augmented Generation (RAG) and multimodal Large Language Models (LLMs), to address new challenges.
Work with platform such as Databricks and Snowflake, using Python, PySpark and SQL to conduct advanced data analysis and support model development and deployment.
Evaluate new methodologies and technologies to enhance modeling capabilities and stay ahead of industry trends.
Partner with developers, data scientists, and business stakeholders to embed insights into enterprise workflows and lead data-informed decisions.
Demonstrate intellectual curiosity and a desire to understand the data, uncover patterns, and identify opportunities for innovation.
Learn new tools, techniques, and business domains to adapt to evolving priorities and bring high-impact solutions.

Your Moneris Career - What you bring

Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Engineering, or a related field, or equivalent work experience in a technology or business environment.
Minimum of 5 years of experience in data science and machine learning; advanced analytics experience is a PLUS.
Strong programming skills in Python and SQL, with demonstrated experience building and deploying models in production environments.
Hands-on experience with Snowflake and Databricks for data exploration, feature engineering, and model deployment.
Proficient in multiple programming languages and comfortable writing clean, maintainable, and well-documented code. Strong analytical and problem-solving skills, with experience working with complex datasets to uncover insights and drive decisions.
Demonstrated ability to lead data science projects, communicate findings effectively to technical and non-technical audiences, and influence results.
Experience with data governance practices and maintaining high standards of documentation for reproducibility and collaboration.
Fast learner with a deep curiosity about data, eager to explore new techniques and technologies to improve model performance and growth.
Experience in the payments or financial industry is preferred.
Familiar with version control (e.g. Git), CI/CD pipelines, and automated testing (unit, functional, performance) a PLUS.

Your Moneris Career - What you get

At Moneris, we believe in empowering you to succeed - personally and professionally. As part of our team, you'll have access to resources, opportunities, and an inclusive environment that supports your development and career.

Comprehensive Total Rewards Program, including performance-based bonuses, flexible benefits starting from day one, and your choice of a health spending account (HSA) or personal spending account (PSA).
Retirement planning support, with profit-sharing programs including company match and a defined contribution pension plan.
Growth & development opportunities, including unlimited access to Coursera, mentorship programs, and an internal gig marketplace.
Holistic wellness support, with an Employee & Family Assistance Program, 24/7 virtual healthcare, and workplace wellness initiatives.
Flexibility that works for you, including hybrid work arrangements, a Work from Abroad program, and paid time off programs.
Recognition and rewards, with company-wide recognition programs, exclusive banking perks from RBC & BMO, and access to great employee discounts.

Find out more about the work perks and benefits you get as a Moneris employee at Moneris.com/careers.

#TECH-IND

Note: We welcome and encourage applications from Indigenous peoples, people of colour, people with disabilities, people of all genders, sexual orientation and intersectional identities.

AI Disclosure: We may use AI-enabled tools to screen, select, and assess applications. All AI outputs are reviewed and validated by our recruitment team.

We acknowledge that people from equity-deserving groups (including racialized individuals, women, gender diverse individuals, individuals with disabilities, neurodivergent individuals, members of 2SLGBTQIA+ communities and those born outside of Canada) are less likely to apply for jobs unless they feel they meet all the requirements posted. At Moneris, we believe candidates bring experience to their work in many ways. We encourage you to apply and share, in the application form, the transferrable experience you bring, and how this will support your success in this role.

Apply About employer

More about this job

Responsibilities

The Senior Data Scientist will lead data science initiatives by developing and deploying scalable machine learning models to solve complex business problems. They will collaborate with cross-functional teams to extract actionable insights and support strategic decision-making across the organization.

Requirements

Candidates must have a Bachelor's or Master's degree in a quantitative field and a minimum of 5 years of experience in data science and machine learning. Proficiency in Python, SQL, and experience with platforms like Snowflake and Databricks are required.

Skills

Data science
Machine learning
Python
SQL
PySpark
Snowflake
Databricks
Statistical modeling
Retrieval-augmented generation
Large language models
Data analysis
Feature engineering
Git
CI/CD
Data governance
Analytical rigor

Benefits

Performance-based bonuses
Flexible benefits
Health spending account
Personal spending account
Retirement planning support
Profit-sharing programs
Coursera access
Mentorship programs
Internal gig marketplace
Employee & family assistance program
Virtual healthcare
Work from abroad program
Paid time off
Banking perks

Visa sponsorship

Not detected in the job text

Keywords

Data Science
Machine Learning
Python
SQL
PySpark
Snowflake
Databricks
RAG
LLM
Artificial Intelligence
Statistical Modeling
Data Governance
Git
CI/CD
Predictive Analytics
Feature Engineering
Payments Industry
Financial Industry
Data Visualization
Model Deployment
Scalability
Cross-functional Collaboration
Strategic Decision-making
Automation
Unit Testing
Documentation
Reproducibility
Innovation
Analytical Rigor
Experimentation

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