IT & data jobs in Canada

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

Counted Sep 24, 2026

Hiring at a glance

View jobs

Open jobs: 2,711
Employers: 1,318

Advertised starting pay

Average starting payCAD / year: $99,622Across 256 listings
Average starting payCAD / hour: $47.95Across 89 listings
Average starting payUSD / year: $117,228Across 55 listings

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

Where work happens

Remote: 5%129 listings
Hybrid: 38%1,035 listings
On-site: 56%1,528 listings

Not specified: 1% (19 listings)

Employers hiring include RBC (56), Royal Bank of Canada (49), TD (46).

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 1 day ago
Senior Data Engineer
Ground News
Remote, Canada
Full-time · Remote
Added 1 day ago
Senior Data Engineer - Data Infra (Canada)
Dandy
Remote, Canada
$133,600 to $167,000 USD / year
Full-time · Remote
Added 1 day ago
Database Administrator
AgileGrid Solutions
Canada
Full-time
Utilismart Corporation has established itself as a leader in the development and operation of secure, cloud-based Meter Data Management systems. The company offers a comprehensive suite of…
Added 1 day ago
Senior Data Engineer
Iris Software Inc.
Toronto, ON
Contract
Lead the migration of enterprise data platforms from Netezza and SSIS to AWS-native data architectures using Glue, PySpark, S3, Redshift, and Lambda.
Added 1 day ago
Data Analyst
Hays
Toronto, ON
Contract
We are seeking a skilled Data Analyst with a strong blend of Investment Management domain experience and technical data analysis expertise. The ideal candidate will leverage data to drive…
Added 1 day ago
Snowflake Data Engineer
Akkodis
Toronto, ON
Contract
…selecting the best strategy and translate them into effective data…
Added 1 day ago
Interim Network & Systems Administrator - Closing October 9, 2026
Municipality of Port Hope
Port Hope, ON
Temporary
Added 1 day ago
Interim Network & Systems Administrator - Closing October 9, 2026
Municipality of Port Hope
ON
Temporary
Added 1 day ago
Business System Analyst (Wealth)
Iris Software Inc.
Toronto, ON
Contract
Added 1 day ago
Senior Technical Business Analyst
Compass Technology
Mississauga, ON
$70,000 to $95,000 CAD / year
Full-time
…end-to-end requirements management, testing activities, and data analysis, with a strong focus on cross-functional collaboration. The ideal candidate will bring strong analytical skills and…
Added 1 day ago
IT - Systems Administrator
JAM Industries
Baie-D'Urfé, QC
Full-time
Added 1 day ago
Data Engineer
Boeing
Vancouver, BC · Richmond, BC · CAN - Richmond, Canada
Full-time
Boeing Vancouver is seeking a Data Engineer, reporting to the Manager of Data Science & Analytics working out of the Richmond, BC office.
Added 1 day ago
Business Systems Analyst
Boeing
Vancouver, BC · Richmond, BC · CAN - Richmond, Canada
Full-time
Added 1 day ago
IT - Systems Administrator
Jam
QC · Baie D'urfe, QC
Added 1 day ago
Help Desk Analyst
Ross Memorial Hospital
Kawartha Lakes, ON · Lindsay, ON
Full-time
Added 1 day ago
Data Quality Analyst (Onsite) - Japanese, Malay, Indonesian, and More!
TransPerfect
Montreal, QC
Full-time
We are currently seeking full time Data Quality Analysts in Montreal, Canada. If you are a native or near-native speaker of one of the languages/locales below, we'd love to hear from you:
Added 1 day ago
Microsoft NAV / Business Central ERP Systems Analyst
NPAworldwide
Guelph, ON
Full-time
…configure system enhancements, support integrations, maintain data integrity, and identify opportunities to improve operational…
Added 1 day ago
Clinical Research Data Analyst, Translational Medicine
The Hospital for Sick Children
Toronto, ON
Full-time
Added 1 day ago
Senior Business System Analyst - Vernon - 24 Month Contract
Nature's Fare Markets
Vernon, BC
Full-time
Added 1 day ago
Senior Business System Analyst - Vernon - 24 Month Contract
Nature's Fare Markets
Vernon, BC
Full-time
Added 1 day ago
Data Engineer (Media Solution) (Hybrid/Telework)
CBC/Radio-Canada
Toronto, ON · Montreal, QC
Full-time
Added 1 day ago
Senior Data Analyst I, Product
Mistplay
Toronto, ON
Full-time
Added 1 day ago
Cybersecurity Analyst - Incident Response
lululemon
Vancouver, BC
Full-time
Added 1 day ago
Applied Machine Learning Scientist II
TD
Toronto, ON · Montreal, QC
Full-time
Added 1 day ago
IT Support Staff
J&L Fasteners
Brampton, ON · Regional Municipality of Peel, ON
Full-time

SPECTRAFORCE

Data Scientist

Toronto, ON, Canada
Scarborough, ON, Canada

Job type: Contract
Apply by: Oct 22, 2026
Experience: 7+ years of experience in Data Science, Machine Learning, Artificial Intelligence, Advanced Analytics, or a related discipline.
Posting language: English
Posted: Sep 22, 2026

Apply About employer

Applications open in a new tab.

Original job description

Job Title: DataIku Data Scientist – Machine Learning & Advanced Analytics

Location: Scarborough, ON (hybrid)

Duration: 12-14 months contract with possible extension

This role is ideal for a highly technical data scientist with strong machine learning expertise, Dataiku and Azure experience, and a proven track record of delivering enterprise-scale AI/ML solutions in complex data environments.

Summary

We are seeking a Data Scientist to join our team to lead the design, development, and operationalization of advanced machine learning solutions. The successful candidate will leverage large-scale structured and unstructured data to deliver predictive insights, optimize business processes, and enable data-driven decision making across the enterprise.

Key Responsibilities

Design, develop, deploy, and maintain machine learning, deep learning, and AI-driven solutions that address complex business and operational challenges.
Build scalable predictive and prescriptive analytics models using large-scale datasets to improve business performance, customer experience, operational efficiency, and risk management.
Translates business needs to technical specifications and evaluates existing data visualization systems to improve them
Perform advanced data exploration, feature engineering, model development, validation, and performance monitoring across the model lifecycle.
Develop and operationalize end-to-end ML pipelines, including data ingestion, model training, scoring, scheduling, monitoring, and retraining.
Leverage big data technologies and distributed computing frameworks to process and analyze high-volume datasets efficiently.
Collaborate with business stakeholders, product teams, and technology partners to identify opportunities where AI/ML can create measurable business value.
Conduct statistical analysis, experimentation, and model evaluation to identify trends, anomalies, and actionable insights.
Research and evaluate emerging technologies, algorithms, and data science methodologies to drive innovation and continuous improvement.
Develop recommendation engines, classification models, forecasting solutions, and anomaly detection frameworks to support strategic business initiatives.
Translate complex analytical findings into clear insights and recommendations for senior leadership and executive stakeholders.
Partner with various line of business teams, Data Engineering, DevOps, and platform teams to ensure scalable, production-ready analytics solutions are deployed and maintained.

Required Qualifications & Experience

7+ years of experience in Data Science, Machine Learning, Artificial Intelligence, Advanced Analytics, or a related discipline.
Strong proficiency in Python (preferred) or SAS for statistical modeling, machine learning, and data analysis.
Expert-level SQL skills with hands-on experience working with large-scale enterprise datasets.
Strong experience with Big Data technologies, including:
Apache Spark
Hadoop ecosystem
Distributed data processing frameworks
Hands-on experience developing, deploying, monitoring, and maintaining machine learning models within Dataiku DSS.
Strong experience working with ITSM data, including ServiceNow incident, change, problem, CMDB, Dynatrace and other operational datasets.
Power BI and advanced data visualization
ServiceNow platform analytics and reporting
Experience building and operationalizing:
Classification models
Recommendation systems
Predictive analytics solutions
Anomaly detection models
Time-series forecasting models
Experience implementing automated scoring and model deployment pipelines using scheduling and orchestration frameworks.
Hands-on experience with cloud-based ML platforms such as:
AWS SageMaker
Azure Machine Learning
Databricks
Strong experience with enterprise data platforms including:
Netezza
Amazon Redshift
SQL Server/relational databases
Experience with MLOps practices, model governance, model monitoring, and production deployment frameworks.
Familiarity with CI/CD, containerized deployments, and cloud-native analytics architectures is considered an asset.

Preferred Qualifications

Experience building AI/ML solutions for IT Operations (AIOps), Service Management, or Operational Intelligence use cases.
Experience developing models for:
Incident prediction
Change-induced outage prediction
Root cause analysis
Event correlation
Recommendation systems
Strong understanding of software engineering best practices, version control, and collaborative development environments.
Excellent communication and stakeholder management skills with the ability to present complex technical concepts to non-technical audiences and senior leadership.
Banking experience, particularly large enterprise-wide initiatives would be an asset.

Nice-to-Have Skills

Dataiku MLOps and automation capabilities
Azure AI / Generative AI solutions
Feature Store implementation
LLM and Agentic AI frameworks

Apply About employer

More about this job

Responsibilities

The Data Scientist will lead the design, development, and operationalization of advanced machine learning and AI-driven solutions to address complex business challenges. They will collaborate with cross-functional teams to build scalable predictive models and translate analytical findings into actionable insights for senior leadership.

Requirements

Candidates must have 7+ years of experience in Data Science or a related field with strong proficiency in Python, SQL, and Big Data technologies. Hands-on experience with Dataiku, cloud-based ML platforms, and operational datasets is required to succeed in this role.

Skills

Dataiku
Machine Learning
Python
SQL
Azure
Apache Spark
Big Data
Predictive Analytics
Data Visualization
ServiceNow
MLOps
Feature Engineering
Time-series Forecasting
Anomaly Detection
Cloud Computing
Statistical Modeling

Visa sponsorship

Not detected in the job text

Keywords

Dataiku
Machine Learning
Python
SQL
Azure
Apache Spark
Hadoop
ServiceNow
Power BI
MLOps
Predictive Analytics
Deep Learning
Data Engineering
DevOps
Netezza
Amazon Redshift
AIOps
Generative AI
LLM
Agentic AI
Feature Store
CI/CD
Distributed Computing
Statistical Modeling
Data Visualization
Banking
IT Operations
Anomaly Detection
Time-series Forecasting
Cloud-native Architecture

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