IT & data jobs in Canada

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

Counted Oct 3, 2026

Hiring at a glance

View jobs

Open jobs: 2,566
Employers: 1,321

Advertised starting pay

Average starting payCAD / year: $97,346Across 254 listings
Average starting payCAD / hour: $50.10Across 82 listings
Average starting payUSD / year: $117,906Across 52 listings

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

Where work happens

Remote: 5%131 listings
Hybrid: 40%1,014 listings
On-site: 55%1,412 listings

Not specified: <1% (9 listings)

Employers hiring include TD (41), J&M Group (39), Amazon (35).

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 19 days ago
PX
Staff Machine Learning Engineer – AI & Agentic Systems
Project X Ltd.
Toronto, ON
- Full-time
…talented, client-focused problem solvers who thrive on complex data challenges. Guided by our values of Care, Bravery, Excellence, and Innovation, we value people who take ownership of…
Added 18 days ago
R
Data Scientist
Raise
Calgary, AB
- Full-time
Added 19 days ago
MU
Research Data Management Specialist
McGill University
Montreal, QC · Redpath Library
- Full-time
Added 19 days ago
CP
Data Analyst
Champion Petfoods
Edmonton, AB · CPE-Champion Petfoods Holding Inc. (Edmonton)
- Full-time
Champion Petfoods is expanding! We are excited to announce we are looking for a Data Analyst to join our rapidly growing company.
Added 18 days ago
GR
Kubernetes Systems Administrator – L3
Global Relay
Vancouver, BC
- Full-time
…solutions. We securely capture and preserve the communications data of the world’s most highly regulated firms, giving them greater visibility and control over their information and…
Added 18 days ago
AF
Cyber Security Analyst
Armstrong Fluid Technology
Toronto, ON
- Full-time
Added 18 days ago
AI
Data Modeler
Aptino, Inc.
Toronto, ON
- Contract
We are looking for an experienced IT Data Modeler with strong Property & Casualty (P&C) Insurance domain experience to support enterprise data modeling initiatives across insurance…
Added 18 days ago
CP
IT Support Technician III
Cosmetic Physician Partners
Montreal, QC
- Full-time
Added 19 days ago
PX
Staff Machine Learning Engineer – AI & Agentic Systems
Project X
Toronto, ON
- Full-time
Project X Ltd. builds high-performing teams of talented, client-focused problem solvers who thrive on complex data challenges. Guided by our values of Care, Bravery, Excellence, and…
Added 18 days ago
IT Support Technician III
Cosmetic Physician Partners
Montreal, QC
Added 18 days ago
MS
Senior Technical Business Analyst
MSZ Systems
Toronto, ON
- Contract
The role will support risk-platform enhancements, risk reporting, data integration, and onboarding of multiple risk data sources
Added 18 days ago
T
Cybersecurity Analyst
TEEMA
Edmonton, AB
- Full-time
Added 19 days ago
M
Data Analyst
Mars
Edmonton, AB · CPE-Champion Petfoods Holding Inc. (Edmonton)
- Full-time
Champion Petfoods is expanding! We are excited to announce we are looking for a Data Analyst to join our rapidly growing company.
Added 18 days ago
TC
Human Resources Systems Administrator
TNG Community Services
Toronto, ON
- Full-time
Added 18 days ago
T
Senior Data Analyst
TechDoQuest
Toronto, ON
- Full-time
We are seeking a Senior Data Analyst to play a pivotal role in a large-scale enterprise migration from GCP BigQuery to Azure Databricks. This position will focus on data discovery,…
Added 18 days ago
F
Salesforce Technical Business Analyst (Canada)
Flosum
Remote, Canada
- Remote
This is not a maintenance role. You will own the product roadmap for the only 100% Salesforce-native DevSecOps, Data Protection, and Security platform trusted by Fortune 100 companies,…
Added 18 days ago
JG
Data Architect
J&M Group
Toronto, ON
- Contract
Establish data governance, security, and standards using Unity Catalog.
Added 18 days ago
3S
Senior Software Tester
3 Step Recruitment Inc.
Vaudreuil-Dorion, QC
- Full-time
Added 18 days ago
TC
Data Modeler
Tata Consultancy Services
Mississauga, ON
- $100,000 to $130,000 CAD / year
- Full-time
Added 18 days ago
JG
Senior Data Analyst
J&M Group
Toronto, ON
- Contract
We are hiring for a Senior Data Analyst. This role focuses on data analysis and migration activities for a large-scale migration from GCP BigQuery to Azure Databricks.
Added 18 days ago
I
Senior Systems Administrator - Infrastructure & Cloud
isgSearch
Toronto, ON · Greater Toronto Area, Canada
- $120,000 CAD / year
- Full-time
Added 18 days ago
IT Support - Winter Co-op 2027
O'Regan Motors Limited
Halifax, NS
Added 18 days ago
I
Senior Business Systems Analyst - ERP & BI
isgSearch
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Added 18 days ago
FS
Business Systems Manager
Federal Signal Corporation
Innisfil, ON
- Full-time
The Business Systems Manager leads the organization’s business systems strategy, data analytics, reporting, and process optimization. They partner with leaders to improve systems,…
Added 19 days ago
BI
Data Engineer
BALLY’S INTRALOT SA
Toronto, ON
- Full-time

AgileGrid Solutions

Data Scientist

Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Posting language: English
Posted: Sep 15, 2026

Original job description

About The Company

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care.

What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you.

McKesson Corporation is seeking a highly skilled and innovative Lead Data Scientist with experience in Generative AI development. This role will lead the design, development, and deployment of cutting-edge machine learning and Generative AI solutions, leveraging advanced techniques to solve complex healthcare challenges and drive business transformation.

About The Role

The Lead Data Scientist role at McKesson offers an exciting opportunity to spearhead the development of advanced AI solutions that can revolutionize healthcare operations and patient outcomes. As a key member of our data science team, you will be responsible for designing, implementing, and maintaining state-of-the-art Generative AI models, including large language models and AI agents, to address diverse enterprise challenges. You will collaborate with cross-functional teams to translate complex business requirements into innovative AI solutions, ensuring they are scalable, secure, and compliant with industry regulations. Your leadership will be instrumental in establishing best practices for prompt engineering, model evaluation, and deployment, while mentoring junior team members. This role demands a combination of technical expertise, strategic thinking, and effective communication skills to influence stakeholders and drive impactful projects.

Qualifications

The ideal candidate will possess a master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Statistics, Data Science, or a related field. You should have 7-10+ years of experience in data science or advanced analytics, with a proven track record in developing and deploying Generative AI and large language models in production environments. Expertise in designing scalable ML and GenAI solutions, including RAG architectures and AI automation workflows, is essential. Strong proficiency in Python and modern ML frameworks such as PyTorch, TensorFlow, and Hugging Face is required. You should have a deep understanding of machine learning algorithms, statistical modeling, and data structures, along with experience working on cloud platforms like Azure (preferred), AWS, or GCP, and MLOps practices. Excellent communication skills are necessary to articulate complex technical concepts to diverse audiences, and demonstrated leadership in project management and stakeholder influence is highly valued.

Responsibilities

Lead the end-to-end lifecycle of Generative AI and agentic AI solutions, including ideation, research, prototyping, implementation, evaluation, deployment, and ongoing support.
Architect and develop scalable GenAI systems such as large language models, Retrieval-Augmented Generation (RAG), AI agents, and intelligent automation workflows to enhance decision-making, operational efficiency, and customer experience.
Drive adoption of best practices in prompt engineering, model evaluation, fine-tuning strategies, and secure hosting to ensure optimal performance and security.
Apply advanced data science and machine learning techniques across use cases including predictive modeling, NLP, anomaly detection, recommendation systems, and analytics enabled by GenAI.
Develop custom ML models and analytical frameworks tailored to complex healthcare data challenges, ensuring solutions are relevant and impactful.
Perform exploratory data analysis, feature engineering, and statistical analysis to generate insights and inform solution design.
Collaborate with engineering and platform teams to deploy, monitor, and maintain AI solutions in cloud environments, following MLOps best practices.
Establish model performance tracking, drift detection, and continuous improvement processes to ensure reliability and accuracy of deployed models and AI agents.
Ensure solutions are scalable, cost-effective, resilient, and aligned with enterprise architecture standards.
Maintain strong model governance, documentation, and auditability to meet regulatory and organizational standards.
Apply Responsible AI principles, including transparency, explainability, data privacy, and security, especially within healthcare contexts.
Provide guidance on the ethical and compliant use of LLMs and AI agents across various enterprise applications.
Work closely with business stakeholders and product managers to translate requirements into clear problem statements, solution designs, and project roadmaps.
Present technical insights and project updates to both technical teams and executive leadership.
Mentor junior data scientists and engineers, fostering a culture of innovation, continuous learning, and technical excellence.

Benefits

At McKesson, we are committed to offering a comprehensive benefits package that supports your health, well-being, and professional growth. Our Total Rewards program includes competitive salary packages, health insurance, retirement plans, and wellness programs. We also provide opportunities for continuous learning and development, including training, certifications, and career advancement programs. Additionally, employees enjoy work-life balance initiatives, paid time off, and employee assistance programs. We believe in recognizing and rewarding our team members' contributions and fostering a collaborative and inclusive work environment.

Equal Opportunity

McKesson is an Equal Opportunity Employer. We provide equal employment opportunities to all applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status,

Apply About employer

More about this job

Responsibilities

Lead the end-to-end lifecycle of Generative AI and agentic AI solutions to solve complex healthcare challenges. Collaborate with cross-functional teams to architect scalable systems and mentor junior data scientists.

Requirements

Requires a Master's or Ph.D. in a quantitative field and 7-10+ years of experience in data science with a focus on production-level GenAI. Proficiency in Python, modern ML frameworks, and cloud platforms like Azure is essential.

Skills

Generative AI
Large Language Models
Python
PyTorch
TensorFlow
Hugging Face
RAG Architectures
MLOps
Azure
Prompt Engineering
Predictive Modeling
NLP
Statistical Modeling
Project Management
Stakeholder Influence
AI Agents

Benefits

Competitive Salary Packages
Health Insurance
Retirement Plans
Wellness Programs
Continuous Learning And Development
Training
Certifications
Career Advancement Programs
Work-life Balance Initiatives
Paid Time Off
Employee Assistance Programs

Visa sponsorship

Not detected in the job text

Keywords

Generative AI
LLM
RAG
AI Agents
Python
PyTorch
TensorFlow
Hugging Face
Azure
AWS
GCP
MLOps
NLP
Predictive Modeling
Anomaly Detection
Recommendation Systems
Responsible AI
Healthcare Data
Prompt Engineering
Fine-tuning
Statistical Analysis
Feature Engineering
Model Governance
Data Privacy
Enterprise Architecture
Machine Learning
Data Science
Advanced Analytics
Cloud Computing
AI Automation

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