IT & data jobs in Canada

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

Counted Sep 23, 2026

Hiring at a glance

View jobs

Open jobs: 2,650
Employers: 1,287

Advertised starting pay

Average starting payCAD / year: $98,907Across 249 listings
Average starting payCAD / hour: $48.43Across 81 listings
Average starting payUSD / year: $117,708Across 55 listings
Average starting payUSD / hour: $55.50Across 10 listings

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

Where work happens

Remote: 5%124 listings
Hybrid: 38%1,020 listings
On-site: 56%1,486 listings

Not specified: 1% (20 listings)

Employers hiring include RBC (55), TD (47), Royal Bank of Canada (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 1 day ago
Lead Data Engineer - AI & Machine Learning
Royal Bank of Canada
Toronto, ON
Full-time
Join a high-performing team transforming RBC's Chief Data Office. You will work closely with SMEs, business stakeholders, architects, and senior developers to build and deploy scalable,…
Added 1 day ago
Senior Business Systems Analyst
Royal Bank of Canada
Toronto, ON
Full-time
A key IT role within Wealth Management Technology & Solutions, Data Services Canada team, you will be a Business System Analyst that will act as an SME for Global Wealth Management Data Hub…
Added 1 day ago
IT Client Services - Help Desk Analyst (Full-Time)
City of Thunder Bay
Thunder Bay, ON
Full-time
Added 1 day ago
Business Systems Analyst II - Forward Summit East 2026
TD
Toronto, ON
Full-time
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Lead Data Engineer - AI & Machine Learning
RBC
Toronto, ON
Full-time
Join a high-performing team transforming RBC's Chief Data Office. You will work closely with SMEs, business stakeholders, architects, and senior developers to build and deploy scalable,…
Added 1 day ago
System Administrator, Level 3
Donna Cona
Ottawa, ON
Full-time
Added 1 day ago
Technical Project Manager (hands-on)
Avenue Code
Canada
Full-time
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Software Engineering Manager
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Remote, Canada
Full-time · Remote
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Senior Business Systems Analyst – Customer Identity & Access Management (Hybrid)
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Toronto, ON
Contract
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IT Support Analyst Student
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Calgary, AB
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Data Scientist, Early Career (Canada)
Jobright.ai
Canada
Full-time
…its innovative technologies. They are seeking an Early Career Data Scientist to develop predictive models, optimize AI performance, and analyze user data to enhance product…
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Business Systems Analyst – NICE Actimize (AML/BSA)
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Toronto, ON · Greater Toronto Area, Canada
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Junior Data Engineer
OMD
Toronto, ON
Full-time
The Data Engineering team is responsible for building and maintaining robust data infrastructure and dashboarding solutions for OMD's highest profile clients. We work closely with analytics…
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Senior Manager Data Engineer
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Toronto, ON
Full-time
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Sr. Business Systems Analyst
TD
Toronto, ON
Full-time
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Data Scientist II (Credit Risk and Product)
TD
Toronto, ON
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Data Engineer
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Calgary, AB
Full-time
We're hiring a Data Developer to join our data team in Calgary. You'll work alongside the rest of the team on the pipeline that moves data from our application into BigQuery, and on the…
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Senior ETL Engineer/ Data Engineer
Tekgence Inc
Toronto, ON
Contract
We are looking for a Senior ETL Engineer with strong experience in Snowflake, Data Cloud, and Data Engineering to design, develop, and maintain scalable data integration and ETL solutions.
Added 1 day ago
Data Architect
Financial Services Regulatory Authority of Ontario (FSRA)
Toronto, ON
Full-time
Added 1 day ago
IT Systems Administrator
Robert Half
Ashcroft, BC
$65,000 to $70,000 CAD / year
Full-time
Added 1 day ago
Network & Security Administrator
Robert Half
Vancouver, BC
$120,000 to $140,000 CAD / year
Full-time
Added 1 day ago
Data Scientist II (Credit Risk and Product)
TD
Toronto, ON
Full-time
Added 1 day ago
Systems Analyst III - Health & Welfare Benefits Implementations
TELUS Health
Toronto, ON
Full-time
Added 1 day ago
Senior Data Engineer (Microsoft Fabric) | 6 months Contract | Vancouver-(Hybrid)
Central 1
Vancouver, BC
Contract
As a Senior Data Engineer you will be the subject matter expert in Microsoft Fabric to support the evolving data needs of Central 1. The Senior Data Engineer is responsible for designing,…
Added 1 day ago
Machine Learning Engineer
PTx Trimble
Winnipeg, MB
Full-time

Charger Logistics Inc

Sr. Data Scientist

Brampton, ON, Canada

Job type: Full-time
Experience: 6+ years of hands-on experience in data science and machine learning/AI, delivering production-grade ML solutions.
Posting language: English
Posted: Sep 18, 2026

Apply About employer

Applications open in a new tab.

Original job description

Charger Logistics Inc. is a leading asset-based transportation company with over 20 years of experience delivering innovative logistics solutions. We have evolved into a world-class transport provider and continue to expand across North America.

We invest in our people, fostering an environment where learning, growth, and career advancement are encouraged. As an entrepreneurial organization, we value initiative, creativity, and forward-thinking strategies. We are looking for a Sr. Data Scientist to develop, deploy, and scale machine learning (ML) and AI solutions for fleet analytics, logistics optimization, and operational decision-making. This is a hands-on role focusing on production-grade ML, real-time and streaming analytics, and AI-driven decision systems built on cloud platforms, including Google Cloud, Kafka, and RisingWave.

Responsibilities:

Design, develop, and deploy production-grade ML models for fleet optimization, including route optimization, ETA prediction, fuel efficiency, capacity planning, predictive maintenance, and driver behavior analysis.
Build anomaly detection, forecasting, and time-series models to monitor vehicle health, trip deviations, fuel theft, and demand fluctuations.
Develop batch and real-time ML pipelines with low-latency inference using Kafka, RisingWave, and cloud services.
Integrate large language models (OpenAI, Google MCP, Ollama, Hugging Face) for conversational analytics, automated insights, and retrieval-augmented generation (RAG) systems.
Operate MLOps workflows on Google Cloud using Vertex AI Pipelines, Feature Store, and Model Registry, supporting model training, deployment, monitoring, and drift detection.
Build and optimize end-to-end data pipelines for analytics and ML using BigQuery, Dataflow, Dataproc, Vertex AI, Cloud Functions, Pub/Sub, and Cloud Composer (Airflow).
Design scalable analytical data models in BigQuery, AlloyDB PostgreSQL, and Snowflake; optimize SQL-based feature engineering, data partitioning, and clustering.
Perform exploratory data analysis (EDA) to uncover trends, anomalies, and business insights.
Build dashboards and visualizations for stakeholders.
Collaborate with cross-functional teams to translate business problems into robust data science solutions.
Support best practices in model development, experimentation, documentation, and data governance.

Bachelor’s degree or equivalent in Data Analytics, Statistics, Mathematics, or Computer Science.
6+ years of hands-on experience in data science and machine learning/AI, delivering production-grade ML solutions.
Strong experience in Python, including libraries such as Pandas, NumPy, Scikit-learn, PyTorch, TensorFlow, XGBoost, and LightGBM.
Advanced SQL skills, including CTEs, window functions, and query optimization.
Hands-on experience with Google Cloud, including Vertex AI (training, pipelines, deployment, feature store) and BigQuery (data modeling, performance tuning).
Experience with streaming platforms (Kafka, RisingWave) and Snowflake.
Knowledge of anomaly detection, time-series forecasting, optimization, and applied statistical modeling.
Experience deploying and monitoring ML models in production, including testing, and working with ETL/orchestration tools like Matillion, Airflow, and Cloud Composer.
Familiarity with advanced ML and AI techniques, including LLMs, geospatial or graph ML, computer vision, and GPS data analysis.
Solid understanding of knowledge retrieval patterns including RAG (Retrieval-Augmented Generation), with familiarity of emerging approaches like KAG (Knowledge-Augmented Generation) and CAG (Cache-Augmented Generation).
Experience with Azure, AWS, GCP, Databricks, or multi-cloud deployments is a plus.
Excellent communication and problem-solving skills, with the ability to thrive in fast-paced environments.
Certifications: Google Cloud Professional Data Engineer or Machine Learning Engineer is an asset; SnowPro® Advanced: Data Scientist certification preferred.

Competitive Salary
Healthcare Benefit Package
Career Growth

Apply About employer

More about this job

Responsibilities

Design, develop, and deploy production-grade machine learning models for fleet optimization and operational decision-making. Build and maintain real-time data pipelines and integrate large language models to provide automated insights and conversational analytics.

Requirements

Requires a bachelor's degree in a quantitative field and at least 6 years of hands-on experience in data science and machine learning. Candidates must possess strong proficiency in Python, advanced SQL, and experience with Google Cloud platform services.

Skills

Python
Machine Learning
SQL
Google Cloud
Vertex AI
BigQuery
Kafka
RisingWave
Data Pipelines
LLMs
Time-series forecasting
Anomaly detection
Optimization
Data modeling
MLOps
Statistics

Benefits

Healthcare Benefit Package

Visa sponsorship

Not detected in the job text

Keywords

Data Science
Machine Learning
AI
Fleet Analytics
Logistics
Python
SQL
Google Cloud
Vertex AI
BigQuery
Kafka
RisingWave
LLMs
RAG
MLOps
Data Pipelines
Time-series
Forecasting
Optimization
Predictive Maintenance
Snowflake
Airflow
Cloud Composer
Data Modeling
Statistics
Feature Engineering
ETL
Geospatial ML
Computer Vision
Dashboarding

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