IT & data jobs in Canada

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

Counted Oct 25, 2026

Hiring at a glance

View jobs

Open jobs: 3,868
Employers: 1,810

Advertised starting pay

Average starting payCAD / year: $96,541Across 346 listings
Average starting payCAD / hour: $48.03Across 254 listings
Average starting payUSD / year: $122,129Across 57 listings
Average starting payUSD / hour: $45.33Across 15 listings

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

Where work happens

Remote: 5%176 listings
Hybrid: 38%1,481 listings
On-site: 57%2,199 listings

Not specified: <1% (12 listings)

Employers hiring include TD (67), J&M Group (45), Capgemini (41).

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 29 days ago
T
Data Engineer (Data Modeling/Data Governance)
Tangerine
Toronto, ON
- Full-time
Added 29 days ago
M
Field Data Scientist
Mastercard
Toronto, ON
- Full-time
Added 29 days ago
M
Lead Data Scientist
Mastercard
Toronto, ON
- Full-time
Added 29 days ago
RB
Senior Business Analyst / Data Analyst (Security Master)
Royal Bank of Canada
Toronto, ON
- Full-time
We are seeking a Senior Business Analyst / Data Analyst to join our Product Team and own the business logic, data quality, and product backlog for our enterprise Security Master. In this…
Added 29 days ago
Software Development Manager, Promotions Customer Experience (PCX)
Amazon
Vancouver, BC
Added 29 days ago
GT
MS SQL Database Administrator - Expert
Global Technical Talent, an Inc. 5000 Company
Toronto, ON
- $65 to $75 CAD / hour
- Contract
Added 29 days ago
TS
Senior Business Systems Analyst
The Salvation Army in Canada
Canada
- Contract
Added 29 days ago
A
Auditeur(trice) Adjoint(e) II/Staff Accountant II
Altis
Montréal-Ouest, QC
- Full-time
Added 29 days ago
NB
Senior Data Scientist
National Bank of Canada
Montreal, QC
- Full-time
Added 29 days ago
JG
Cybersecurity Specialist
J&M Group
Toronto, ON
- Full-time
Added 29 days ago
B
Senior Business System Analyst (Insurance & Technology)
BMO
Toronto, ON · YNG
- Full-time
…technology build and operations by sourcing and analyzing relevant data, reviewing and documenting business processes and collaborating with business stakeholders. Sources business and…
Added 29 days ago
R
Senior Business Analyst / Data Analyst (Security Master)
RBC
Toronto, ON
- Full-time
We are seeking a Senior Business Analyst / Data Analyst to join our Product Team and own the business logic, data quality, and product backlog for our enterprise Security Master. In this…
Added 29 days ago
L
Data Analyst-Python
LTM
Mississauga, ON
- $103,554 to $115,200 CAD / year
- Full-time
Added 29 days ago
EL
Systems Administrator
Eckler Ltd. / Eckler ltée
Toronto, ON · Greater Toronto Area, Canada
- $82,000 to $95,000 CAD / year
- Full-time
Added 29 days ago
L
Software Development Manager
LawDepot
Remote, Canada
- Full-time
- Remote
Added 29 days ago
DC
IT System Administrator - Langley, Canada
DeSimone Consulting Engineering
Langley (District), BC · Langley, BC
- Full-time
Added 29 days ago
Lead Technical Data Analyst - Data Warehouse Services
Aylo Careers
Montreal, QC
Added 29 days ago
S
Technical Project Manager – Building Automation Systems (BAS) - Calgary, AB
Siemens
Calgary, AB
- Full-time
Added 29 days ago
LP
IT Support and Systems Analyst
Liberal Party of Canada • Parti Libéral du Canada
Ottawa, ON
- Full-time
Added 29 days ago
H(
Senior Data Engineer
HOOPP (Healthcare of Ontario Pension Plan)
Toronto, ON
- $103,000 to $153,000 CAD / year
- Full-time
Added 29 days ago
IO
Business Systems Analyst - Operational Business Technology Solutions
Irving Oil
Saint John, NB
- Full-time
Added 29 days ago
B
Data Engineer
Buyerlink
Victoria, BC
- Full-time
We’re looking for a modern Data Engineer who thrives at the intersection of data, cloud, and AI. You build the systems that power insight - scalable pipelines, cloud-native data platforms,…
Added 1 month ago
JG
Data Engineer
J&M Group
Toronto, ON
- Contract
We're looking for a Data Engineer with strong Python and SQL Server expertise to build and maintain ETL pipelines and reporting solutions for a major Canadian bank in downtown Toronto. The…
Added 1 month ago
EC
IT Support Coordinator
ethree Consulting
St. John's, NL
- Full-time
Added 1 month ago
IO
Business Systems Analyst - Operational Business Technology Solutions
Irving Oil
Saint John, NB
- Full-time

Mastercard

Field Data Scientist

Toronto, ON, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Posting language: English
Posted: Sep 25, 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

Field Data ScientistWho is Mastercard?

Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential.

Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all.

Overview

Services within Mastercard is responsible for acquiring, engaging, and retaining customers by managing fraud and risk, enhancing cybersecurity, and improving the digital payments experience. We provide value-added services and leverage expertise, data-driven insights, and execution.

As a Field Data Scientist within Mastercard Identity, a Services organization, you will have a diverse set of responsibilities supporting sales (pre-sales), customer success (post-sale), and product development, with the aim of supporting, growing, and developing a best-in-class product suite in the identity verification industry. The role is focused on making sure potential prospects & clients see the best possible value from Mastercard Identity’s data ecosystem through machine learning or rule-based systems. As a product implementation expert, you will advise customers how to best leverage Identity’s data in their fraud workflows through proof of value tests. In addition, Field Data Scientists advise internal product stakeholders on opportunities for new product development and go to market strategies.

Role

As a Field Data Scientist you will:

- Support the sales team to ensure Mastercard Identity can highlight the maximum benefit of its dataset through proof of value (POV) tests.

- Support development of machine learning and rules-based models to help our client’s maximize fraud detection and false positive reduction, increase payment acceptance, and optimize their risk decisioning

- Understand customer business needs and workflows, using this knowledge to position Mastercard Identity products and design solutions using them.

- Proactively nurture & maintain one-on-one relationships with customer data scientists, with the aim of providing deep insights for development of fraud models.

- Acquire a deep knowledge of Mastercard Identity products and data, using this knowledge to act as subject matter expert for customers.

- Analyze Mastercard Identity data features and provide recommendations to our Product team to ensure that our products continually provide the best performing signals for our customers

- Work with customer IT and engineering resources to QA their integration of Identity API products and ensure the correct data is available for modeling.

- Assist with internal training on Identity products, data, and processes.

- Attend product spec reviews to bring customer facing perspectives and share feedback from the market.

All About You

- Computer/Data Science or Engineering degree, or equivalent experience.

- Experience in a customer-facing or heavily cross-functional role with data science centric project management experience.

- Excellent scripting and analysis skills in python and SQL.

- Excellent presentation and communication skills.

- Experience in a machine learning or data analytics capacity

- Ability to create and understand supervised machine learning models.

- Experience in understanding customer needs and using those to build design docs or technical specifications.

- Proven ability to establish credibility with technical leaders in customer organizations.Mastercard 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: $91,000 - $140,000 CAD

Apply About employer

More about this job

Responsibilities

The Field Data Scientist will support sales and customer success teams by designing and implementing machine learning and rule-based fraud detection solutions. They will also act as a subject matter expert, advising internal product stakeholders on market feedback and new product development opportunities.

Requirements

Candidates must possess a degree in Computer Science, Data Science, or Engineering, along with strong scripting skills in Python and SQL. Proven experience in a customer-facing role and the ability to build supervised machine learning models are essential for this position.

Skills

Python
SQL
Machine learning
Data science
Fraud detection
Data analytics
Identity verification
API integration
Technical specifications
Customer success
Pre-sales
Risk decisioning
Data modeling
Communication skills
Presentation skills

Visa sponsorship

Not detected in the job text

Keywords

Data Science
Machine Learning
Python
SQL
Fraud Detection
Identity Verification
API
Risk Management
Cybersecurity
Data Analytics
Proof of Value
Product Development
Customer Success
Sales Support
Technical Specifications
Integration
Data Modeling
Payments Industry
Rules-based Systems
Supervised Learning

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