IT & data jobs in Canada

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

Counted Oct 26, 2026

Hiring at a glance

View jobs

Open jobs: 3,954
Employers: 1,835

Advertised starting pay

Average starting payCAD / year: $96,365Across 352 listings
Average starting payCAD / hour: $48.89Across 262 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%178 listings
Hybrid: 38%1,506 listings
On-site: 57%2,257 listings

Not specified: <1% (13 listings)

Employers hiring include TD (68), J&M Group (45), S M Software Solutions Inc (45).

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 10 days ago
ST
Network/Systems Analyst
Skilled Trades Ontario
Mississauga, ON
- $33.83 to $41.64 CAD / hour
Added 10 days ago
2I
Senior DataOps / Cloud Data Engineer
2iSolutions Inc.
Toronto, ON
- Contract
Our Toronto-based client is hiring a Senior DataOps / Cloud Data Engineer for a 6-month onsite contract opportunity.
Added 10 days ago
ST
SalesForce Business Systems Analyst
Soroc Technology
Toronto, ON
- $50 to $55 CAD / hour
- Contract
Added 10 days ago
AS
ISI Data Analyst - Asset Integrity
Aker Solutions
Fort McMurray, AB
- Full-time
Our Asset Integrity Management Team in Fort McMurray, AB is seeking ISI Data Analyst to support the integrity management of pressure piping systems
Added 10 days ago
AP
Senior Business Systems Analyst
Atlantic Packaging Products Ltd.
Toronto, ON · Scarborough, ON
- Full-time
Added 10 days ago
EG
Desktop Support Technician - YYC Airport
ESP Global Services
Calgary, AB
- Full-time
Added 10 days ago
W
IT Support Specialist
Winpak
Winnipeg, MB
- Full-time
Added 10 days ago
Software Development Manager (SDM), Amazon Compensation Technology (ACT)
Amazon
Vancouver, BC
Added 10 days ago
UT
L2 IT Support Technician
Ultreia Tech
Montreal, QC
- $70,000 to $85,000 CAD / year
- Contract
Added 10 days ago
B
Business Systems Analyst
Brunel
Saskatoon, SK
- $80 to $100 CAD / hour
- Contract
Added 10 days ago
ZS
Sr. IFRS17 Data Engineer
Zodiac Solutions, Inc
Toronto, ON
- Full-time
Demonstrated knowledge of IFRS17, data analysis, and the insurance domain.
Added 10 days ago
DSS Data Analyst 2
Symcor
Mississauga, ON
Symcor enables secure data exchanges and supporting business processes, to help clients succeed in an evolving digital world. Trusted by Canada's largest institutions for over 25 years to…
Added 10 days ago
UO
Systems Administrator I
University of British Columbia
Vancouver, BC · UBCV | The Leonard S. Klinck Building (LSK)
- $7,158.42 to $10,292.25 CAD / month
- Full-time
Added 10 days ago
M
RQ11486 - DataOps/Cloud Data Engineer - Senior
Maarut
Toronto, ON
- Contract
Designing and developing data pipelines from source to end
Added 10 days ago
TD
Online Data Analyst - French speakers needed
TELUS Digital
Remote, Canada
- Contract
- Remote
Added 10 days ago
IO
Associate IT Support Analyst
Irving Oil
Saint John, NB
- Full-time
Added 10 days ago
Senior IT Support Engineer
Pantheon Systems, Inc
Vancouver, BC
Added 10 days ago
SS
Software Development Manager, FME Flow
Safe Software
Remote, Canada
- $155,100 to $173,300 CAD / year
- Full-time
- Remote
Added 10 days ago
AI
Salesforce Business Systems Analyst - FSC
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
- Full-time
Added 10 days ago
P
Procurement & Supply Chain Analyst / Supply Chain Data Analyst (PSCA008)
Potenco
Canada
- Full-time
Procurement & Supply Chain Analyst / Supply Chain Data Analyst
Added 10 days ago
M
Senior Data Scientist
Mphasis
Calgary, AB
- Full-time
Experience: 4+ years of applied data science delivery
Added 10 days ago
SH
HR Systems Consultant
Southlake Health Community
Newmarket, ON · Southlake Health
- Full-time
Added 10 days ago
Q
Senior Business System Analyst
Quantiphi
Toronto, ON · CA ON Toronto
- Full-time
Added 10 days ago
T
Data Engineer II
TD
Toronto, ON
- Full-time
Added 10 days ago
LI
Salesforce Business System Analyst
LanceSoft, Inc.
Toronto, ON
- $55 to $60 CAD / hour
- Contract

Wiraa

Data Scientist II

Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Experience: 3+ years of post-qualification experience developing machine learning models at scale and deploying them into production environments.
Posting language: English
Posted: Oct 16, 2026

Original job description

About The Company

Scribd, Inc. is a pioneering platform dedicated to advancing human understanding through innovative digital content solutions. Our mission is to help billions of people worldwide move beyond mere access to information and into the realms of insight, application, and expertise. Our portfolio includes four flagship products: Scribd®, Slideshare®, Everand™, and Fable, each designed to cater to diverse user needs across various media formats. We foster a dynamic and inclusive culture that encourages employees to be authentic, bold, and collaborative. At Scribd, Inc., we believe that the best work emerges when individual flexibility is balanced with meaningful community engagement. Our Scribd Flex work model empowers employees to choose their optimal workstyle and location, while also emphasizing the importance of in-person interactions to strengthen team cohesion and company culture. We are committed to diversity, equity, and inclusion, welcoming talent from all backgrounds to join us in our journey of innovation and growth.

About The Role

We are seeking a highly skilled Data Scientist II to join our Applied Research team, a group of experts in leveraging machine learning, natural language processing, and generative AI models. In this role, you will be instrumental in designing, developing, and deploying high-impact AI and ML systems that deliver tangible value to our users and business operations. You will collaborate closely with cross-functional teams including Machine Learning Engineers, Data Engineers, and Product Managers to create scalable solutions across content enrichment, recommendation systems, search, translation, and more. Your work will involve handling vast datasets, utilizing advanced language models, and deploying models that operate at scale. The ideal candidate will be curious, innovative, and passionate about building impactful models using large datasets, with a focus on simplicity, transparency, and end-to-end impact. This position offers an exciting opportunity to work on cutting-edge AI projects that influence millions of users worldwide.

Qualifications

3+ years of post-qualification experience developing machine learning models at scale and deploying them into production environments.
Proficiency in Python programming language.
Hands-on experience building ML pipelines and working with distributed data processing frameworks such as Apache Spark, Databricks, or similar.
Intermediate expertise in at least three of the following fields: classification algorithms, natural language processing, search, information retrieval, named entity recognition, deep learning, generative models.
Intermediate or higher proficiency with SQL or PySpark.
Bachelor’s or Master’s degree in a relevant quantitative discipline, including Statistics, Computer Science, Data Science, Artificial Intelligence, or related fields with a strong quantitative focus.
Experience working with classical machine learning algorithms, neural networks, and third-party language model APIs.
Strong analytical skills with the ability to process and interpret large datasets effectively.
Excellent communication skills, capable of articulating complex technical concepts to diverse stakeholders.

Responsibilities

Design and develop machine learning models for various content classification use cases, utilizing traditional NLP techniques, large language models, and generative AI.
Investigate and implement innovative solutions to complex challenges at scale within Scribd’s ecosystem.
Collaborate with Data Scientists, Machine Learning Engineers, Data Engineers, and Product teams to develop integrated solutions that maximize business impact.
Leverage a variety of algorithms and frameworks, including Scikit-learn, PyTorch, and third-party API integrations, to build and refine models.
Process and analyze large-scale datasets using Python, SQL, Spark, and other distributed data processing tools.
Document project approaches, methodologies, and results clearly and concisely for technical and non-technical audiences.
Engage with stakeholders to align project goals, deliverables, and timelines effectively.
Continuously monitor, evaluate, and improve model performance to ensure accuracy and relevance.

Benefits

Flexible work arrangements through Scribd Flex, supporting work-life balance.
Comprehensive health, dental, and vision insurance coverage.
Mental health support and disability coverage programs.
Generous paid time off, including vacation, sick leave, holidays, winter break, volunteer days, and sabbaticals.
Paid parental leave and family support benefits.
Retirement matching programs and opportunities for employee equity ownership.
Access to learning and professional development programs for career growth.
Wellness stipends and home office setup allowances.
Complimentary access to Scribd’s products and enterprise-level AI tools.

Equal Opportunity

Scribd, Inc. is an equal employment opportunity employer. We are committed to creating a diverse and inclusive environment where all employees and applicants are treated with respect and fairness, regardless of race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, disability, or any other characteristic protected by law. We encourage individuals from all backgrounds to apply and contribute to our mission of fostering innovation and understanding through technology.

Apply About employer

More about this job

Responsibilities

Design, develop, deploy, and improve machine learning models for content classification and other applications, using NLP, generative AI, and large-scale data processing tools. Collaborate with technical and product teams, communicate project methods and results, and align solutions with stakeholder goals.

Requirements

Requires at least three years of experience developing and deploying machine learning models at scale, proficiency in Python, and hands-on experience with ML pipelines and distributed data processing. Candidates should have a relevant quantitative bachelor's or master's degree, expertise in at least three specified ML fields, and experience with classical ML, neural networks, and language model APIs.

Skills

Machine Learning
Python
SQL
PySpark
Apache Spark
Databricks
Natural Language Processing
Classification Algorithms
Search
Information Retrieval
Named Entity Recognition
Deep Learning
Generative AI
Scikit-learn
PyTorch
Large Language Models

Benefits

Flexible Work Arrangements
Health Insurance
Dental Insurance
Vision Insurance
Mental Health Support
Disability Coverage
Paid Time Off
Paid Parental Leave
Retirement Matching
Employee Equity
Professional Development
Wellness Stipend
Home Office Allowance
Complimentary Product Access
AI Tools Access

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Applied Research
Artificial Intelligence
Natural Language Processing
Generative AI
Large Language Models
Content Classification
Recommendation Systems
Search
Information Retrieval
Named Entity Recognition
Deep Learning
Classification Algorithms
Python
SQL
PySpark
Apache Spark
Databricks
Machine Learning Pipelines
Scikit-learn
PyTorch
Third-Party Language Model APIs
Distributed Data Processing
Model Deployment
Model Performance Monitoring
Data Analysis
Statistics
Data Science
Computer Science

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