IT & data jobs in Canada

Explore it & data jobs in Canada. Choose a role or place to find work that fits.

Counted Oct 3, 2026

Hiring at a glance

View jobs

Open jobs: 2,538
Employers: 1,316

Advertised starting pay

Average starting payCAD / year: $97,309Across 249 listings
Average starting payCAD / hour: $50.62Across 81 listings
Average starting payUSD / year: $117,865Across 51 listings

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

Where work happens

Remote: 5%129 listings
Hybrid: 40%1,004 listings
On-site: 55%1,397 listings

Not specified: <1% (8 listings)

Employers hiring include TD (39), J&M Group (38), Amazon (35).

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

IT & data jobs in Canada

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Added 3 months ago
C
Jr Data Engineer - Custom Solutions
Citylitics
Toronto, Ontario
- $70,000 to $80,000 CAD / year
- Full-time
Added 3 months ago
JG
Information Technology_CAN - CAN_System Administrator
J&M Group
Toronto, Ontario
- Full-time
Added 3 months ago
DS
Student Information Systems Administrator - Continuing
Delta School District 37, British Columbia
Delta, British Columbia
- Full-time
Added 2 months ago
Cloud Systems Administrator
NDT Global Group
Quebec, QC
NDT Global is the leading provider of inline diagnostic solutions, advanced data insights, subsea inspection, and integrity management services that safeguard energy-sector infrastructure.…
Added 2 months ago
AG
Data Scientist (ML Engineer)
Adelphi Group
Toronto, ON
- Full-time
Added 1 month ago
Industrial Data Management Specialist
Alstom
Toronto, ON
Could you be the full-time Industrial Data Management Speciali
Added 2 months ago
S
Senior Data Engineer
ShyftLabs
Toronto, ON
- Full-time
At ShyftLabs, we live and breathe data. Since 2020, we've been helping Fortune 500 companies unlock growth with cutting-edge digital solutions that transform industries and create…
Added 2 months ago
A
Infra System Administrator
Accenture
Ottawa, ON
- Full-time
Added 2 months ago
A
Infra System Administrator
Accenture
Ottawa, ON
- Full-time
Added 1 month ago
Senior Database Administrator
Scotiabank
Toronto, ON
Added 4 months ago
F
Director of Software Engineering (Canada)
Flosum
Canada
- Full-time
Added 3 months ago
O
Application Security Engineer
Opendoor
Toronto, Ontario
- Full-time
Added 3 months ago
SH
Technical Support Representative
Spacelabs Healthcare
Canada
- $75,000 to $85,000 CAD / year
- Full-time
Added 3 months ago
KS
Data Engineer
KPI Sight
Toronto, Ontario
- $120,000 CAD / year
- Full-time
This is a full time, hybrid Data Engineer role based in Toronto with flexibility to work from home part time.
Added 3 months ago
C
Data Analyst Specialist.
Cogeco
Remote, Canada
- $35,000 to $60,000 USD / year
- Full-time
- Remote
The Data Analyst Specialist is responsible for collecting, analyzing, interpreting, and presenting data to support business decisions. This role transforms complex datasets into meaningful…
Added 2 months ago
M
IT Support Technician
MNP
Sherbrooke, QC
- Full-time
Added 2 months ago
Data Scientist
Government of Alberta
Edmonton, AB
Added 2 months ago
LC
System Administrator, Senior
Linamar Corporation
Guelph, ON
- Full-time
…systems to achieve optimum performance levels. Ensure server data integrity by…
Added 2 months ago
Software Development Manager, Tax Engine
Amazon
Vancouver, BC
Added 2 months ago
CC
Software QA Analyst (2026-032)
Circle Cardiovascular Imaging
Calgary, AB
- Full-time
Added 2 months ago
IB
Senior IT Support Specialist
Invisia BPO
NB · Chiasson Office, NB
- Full-time
Added 21 days ago
PC
Sr. Data Engineer - Toronto, ON (Hybrid)
Pozent Corporation
Toronto, ON
- Contract
We are seeking a hands-on Data Engineer to support the Total Fund Management Portfolio Management Technology team. This role focuses on building and optimizing large-scale data processing…
Added 3 months ago
NM
Analyste de données, Intelligence d'affaires/Business Intelligence Data Analyst⚡
Nouveau Monde Graphite | NYSE: NMG + TSX: NOU
Montreal, Quebec
- Full-time
Added 3 months ago
P&
Analyste fonctionnel SAP – modules PP, MM, ARIBA et S4 Hana | SAP PP, MM, ARIBA, and S4 Hana Functional Analyst
Pratt & Whitney
Mississauga, Ontario
- Full-time
Added 3 months ago
P&
Analyste des systèmes logistiques (SAP WM, EWM) | Logistics Systems Analyst (SAP WM, EWM)
Pratt & Whitney
Mississauga, Ontario
- Full-time

Mastercard

Principal Data Scientist

Toronto, ON, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Education: Master’s degree
Posting language: English
Posted: Jul 30, 2026

Original job description

Our Purpose

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.

Title and Summary

Principal Data ScientistOverview:

Mastercard is seeking a Principal Data Scientist to lead the development and delivery of advanced AI and machine learning solutions for Mastercard’s Ethoca product that enhances consumer purchase experiences.

This is a senior technical role, responsible for defining the data science product design, guiding execution across multiple business initiatives, and ensuring solutions are delivered at scale to support chargeback reduction, dispute resolution, and consumer clarity. The successful candidate will combine technical depth with strong cross-functional skills to drive measurable business impact.

Responsibilities:

Leading Engineering Culture
• Design and execute the data science vision and roadmap for the product enhancement, aligning technical initiatives with business priorities and product strategy.
• Lead, mentor, and inspire a high-performing data science team, fostering a culture of technical excellence, innovation, and collaboration.
• Partner with product, engineering, and business leaders to shape requirements and deliver data-driven capabilities that improve customer experience and reduce disputes.

Product Impact
• Build and scale AI/ML models that enrich merchant data, enhance transaction clarity, and reduce chargeback/dispute rates.
• Guide the design and implementation of solutions that leverage generative AI, multi-agent systems, NLP, and computer vision to enhance purchase experiences.
• Monitor and continuously improve deployed models to ensure accuracy, reliability, and compliance in a regulated financial environment.

Technical & Operational Excellence
• Provide hands-on technical leadership in model development, deployment, and governance across cloud environments (Azure, Snowflake, Spark).
• Ensure compliance with Mastercard’s data governance, security, and privacy requirements.
• Review and oversee code, models, and engineering components developed by the team to maintain enterprise-grade standards.

Innovation & Thought Leadership
• Drive exploration of cutting-edge technologies, including generative AI and agentic frameworks, to strengthen the product offering and Mastercard technical competence.
• Represent Mastercard’s AI leadership through patents, publications, conference presentations, and academic partnerships.
• Incubate prototypes and proofs-of-concept to evaluate new methods before scaling into production.

All About You:

• Proven experience leading data science teams and delivering enterprise-scale AI/ML solutions.
• Deep expertise in supervised, unsupervised, and generative AI methods, with strong understanding of their mathematical foundations.
• Hands-on background in NLP, information extraction, or computer vision or multi-modal AI applied to real-world business challenges.
• Strong track record of translating complex data problems into scalable, measurable business outcomes.
• Proficiency in Python, ML frameworks (Scikit-learn, PyTorch, TensorFlow), SQL, Spark, and Azure ML/Snowflake.
• Experience working in highly regulated industries, with an emphasis on data governance and compliance.
• Skilled at engaging with senior stakeholders, presenting technical results to diverse audiences, and driving alignment across functions.
• Master’s degree required; PhD preferred.

Nice to Have:
• Experience in payments, FinTech, or consumer transaction data.
• Prior patents or publications in AI/ML.
• Demonstrated success applying GenAI or multi-agent systems in production environments.

#AIMastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.

Corporate Security Responsibility

All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:

Abide by Mastercard’s security policies and practices;
Ensure the confidentiality and integrity of the information being accessed;
Report any suspected information security violation or breach, and
Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

In line with Mastercard’s total compensation philosophy and assuming that the job will be performed in Canada, the successful candidate will be offered a competitive pay based on location, experience and other qualifications for the role and may be eligible to participate in a discretionary annual incentive program. This posting reflects one or more current openings on our team.

Pay Ranges

Toronto, Canada: $154,000 - $247,000 CAD

Apply About employer

More about this job

Responsibilities

Lead the development and delivery of advanced AI and machine learning solutions to enhance consumer purchase experiences and reduce chargebacks. Mentor a high-performing data science team while partnering with business leaders to align technical initiatives with product strategy.

Requirements

Requires a Master's degree (PhD preferred) and proven experience leading data science teams in delivering enterprise-scale AI/ML solutions. Candidates must possess deep expertise in generative AI, NLP, or computer vision, along with proficiency in Python, SQL, and cloud-based data environments.

Skills

Data Science
Artificial Intelligence
Machine Learning
Python
SQL
Spark
Azure ML
Snowflake
NLP
Computer Vision
Generative AI
Data Governance
Leadership
FinTech
Model Development

Benefits

Discretionary annual incentive program

Visa sponsorship

Not detected in the job text

Keywords

Data Science
Artificial Intelligence
Machine Learning
Generative AI
NLP
Computer Vision
Python
SQL
Spark
Azure
Snowflake
FinTech
Chargeback Reduction
Data Governance
Multi-agent Systems
Model Deployment
Predictive Modeling
Technical Leadership
Product Strategy
Cloud Computing

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