IT & data jobs in Canada

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

Counted Sep 28, 2026

Hiring at a glance

View jobs

Open jobs: 2,664
Employers: 1,318

Advertised starting pay

Average starting payCAD / year: $98,294Across 257 listings
Average starting payCAD / hour: $50.10Across 85 listings
Average starting payUSD / year: $117,285Across 53 listings

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

Where work happens

Remote: 5%130 listings
Hybrid: 39%1,039 listings
On-site: 56%1,480 listings

Not specified: 1% (15 listings)

Employers hiring include RBC (48), Royal Bank of Canada (43), TD (42).

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 8 mins ago
Salesforce & RevOps Systems Administrator
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Montreal, QC · Greater Montreal, QC
Full-time
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Azure Data Engineer
Spait Infotech
Canada
Full-time
Design and develop scalable data pipelines using Azure services.
Added 22 mins ago
Senior Data Engineer
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Toronto, ON
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Revelstoke, BC
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Toronto, ON
Part-time
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Toronto, ON
$120,000 to $125,000 CAD / year
Full-time
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Data Analyst, Business Intelligence - Entry Level
Jobright.ai
Canada
Full-time
…accelerating your route to the best job outcomes. The Entry-Level Data Analyst will build reliable reporting and business-intelligence systems, helping teams understand company performance…
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Zodiac Solutions, Inc

Senior Data Scientist

Toronto, ON, Canada

Job type: Full-time
Apply by: Oct 28, 2026
Posting language: English
Posted: Sep 28, 2026

Apply About employer

Applications open in a new tab.

Original job description

Job Title: Senior Data Scientist

Location: Toronto, ON Hybrid

Job Type: Full-Time Permanent

Skills and Responsibilities:

Build and evaluate models (regression, classification, etc.)

We are looking for an experienced Senior Data Scientist to support the AI CoE’s Machine Learning and Data Science initiatives.

The ideal candidate will have strong applied machine learning, statistical modeling, analytics, and analytical problem-solving experience, with the ability to translate business problems into practical data science solutions.

They should have expert knowledge of SQL and Python, along with hands-on experience in predictive modeling, forecasting, classification, regression, experimentation, A/B testing, feature engineering, model evaluation, and insights generation.

This is a highly analytical and hands-on role focused on delivering end-to-end data science solutions, including data exploration, data preparation, feature engineering, model development, validation, interpretation, and communication of insights.

Experience with visualization tools such as Tableau, Power BI, or similar platforms is useful, particularly for communicating model outputs, trends, and actionable insights.

Experience working in cloud-based data science environments, including Azure, Azure ML, Databricks, MLflow, and related cloud technologies, would be considered an asset.

Experience with use cases such as churn prediction, member personalization, recommendation systems, marketing optimization, anomaly detection, and experimentation frameworks would be valuable.

In addition to technical depth, we are looking for someone who can work independently, collaborate effectively with data scientists, ML engineers, data engineers, and business partners, and help accelerate the delivery of enterprise AI and analytics solutions from exploration through production readiness. "

Apply About employer

More about this job

Responsibilities

Develop and deliver end-to-end data science solutions, including data exploration and preparation, feature engineering, model development, validation, interpretation, and communication of insights. Support enterprise AI and analytics initiatives by translating business problems into practical solutions and collaborating with technical teams and business partners.

Requirements

The role calls for strong applied machine learning, statistical modeling, analytics, and analytical problem-solving experience, with expert knowledge of SQL and Python. Hands-on experience with predictive modeling, forecasting, experimentation, A/B testing, feature engineering, model evaluation, and insight generation is expected; cloud platforms and visualization tools are useful assets.

Skills

Applied Machine Learning
Statistical Modeling
SQL
Python
Predictive Modeling
Forecasting
Classification
Regression
A/B Testing
Feature Engineering
Model Evaluation
Data Visualization
Azure
Databricks
MLflow
Analytics

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Data Science
Artificial Intelligence
AI Center Of Excellence
SQL
Python
Predictive Modeling
Forecasting
Classification
Regression
Experimentation
A/B Testing
Feature Engineering
Model Evaluation
Data Exploration
Data Preparation
Model Validation
Data Visualization
Tableau
Power BI
Azure
Azure Machine Learning
Databricks
MLflow
Churn Prediction
Personalization
Recommendation Systems
Marketing Optimization
Anomaly Detection
Model Production Readiness

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