IT & data jobs in Canada

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

Counted Oct 1, 2026

Hiring at a glance

View jobs

Open jobs: 2,578
Employers: 1,314

Advertised starting pay

Average starting payCAD / year: $98,590Across 254 listings
Average starting payCAD / hour: $52.66Across 88 listings
Average starting payUSD / year: $118,134Across 53 listings

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

Where work happens

Remote: 5%130 listings
Hybrid: 40%1,019 listings
On-site: 55%1,417 listings

Not specified: <1% (12 listings)

Employers hiring include TD (44), J&M Group (40), Amazon (37).

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
Application Support Analyst – Java
Apptoza Inc.
Toronto, ON
Contract
Added 1 day ago
Business Systems Analyst (Pricing & Promotions).
Cyber Space Technologies LLC
ON · Ontario, Canada
Contract
Added 1 day ago
iSeries System Administrator
LanceSoft, Inc.
Canada
$55 to $60 CAD / hour
Contract
Added 1 day ago
Staff Data Scientist, Applied ML
Jobber
AB · Edmonton, AB
Full-time
If so, this might be the role for you! We're looking for a Staff Data Scientist, Applied Machine Learning (ML) to join our growing Data Science team.
Added 1 day ago
Staff Data Scientist, Applied ML
Jobber
Vancouver, BC
Full-time
If so, this might be the role for you! We're looking for a Staff Data Scientist, Applied Machine Learning (ML) to join our growing Data Science team.
Added 1 day ago
Staff Data Scientist, Applied ML
Jobber
Toronto, ON
Full-time
If so, this might be the role for you! We're looking for a Staff Data Scientist, Applied Machine Learning (ML) to join our growing Data Science team.
Added 1 day ago
Staff Data Scientist, Applied ML
Jobber
Kitchener, ON
Full-time
If so, this might be the role for you! We're looking for a Staff Data Scientist, Applied Machine Learning (ML) to join our growing Data Science team.
Added 1 day ago
Senior Business Systems Analyst - Guidewire (Billing Center)
CAA Club Group
Thornhill, ON
Added 1 day ago
Data Analyst, Investment Data Management
Connor, Clark & Lunn Financial Group Ltd.
Toronto, ON
Interested in joining one of Canada’s top performing asset managers? We are looking for a Data Analyst for an existing vacancy on our Investment Data Management (IDM) team. The IDM Team…
Added 1 day ago
Data Analyst, Investment Data Management
Connor, Clark & Lunn Financial Group Ltd.
Vancouver, BC
Interested in joining one of Canada’s top performing asset managers? We are looking for a Data Analyst for an existing vacancy on our Investment Data Management (IDM) team. The IDM Team…
Added 1 day ago
Data Analyst
Connor, Clark & Lunn Financial Group Ltd.
Vancouver, BC
Interested in joining one of Canada's top performing asset managers? We are looking for a Data Analyst to join our Enterprise Data Solutions team. In this role, you'll help build…
Added 1 day ago
Senior Data Analyst
Direct Response Media Group Inc
Oakville, ON
$80,000 to $100,000 CAD / year
Added 1 day ago
Data Scientist III
TD
Toronto, ON
Full-time
Added 1 day ago
Data Scientist, Decisions - Mapping
Lyft
Toronto, ON
As a Data Scientist on the Mapping team, you will collaborate with our world class team of engineers, product managers, and designers to grow and improve the quality of recommended routes…
Added 1 day ago
Lead Data Engineer (AI & Data Strategy)
Mastercard
Vancouver, BC
Full-time
Added 1 day ago
Senior Business Systems Analyst (InEight)
Valard Construction
AB · Edmonton, Alberta
Full-time
Added 1 day ago
IT Support Specialist
Charger Logistics Inc
Brampton, ON
Added 1 day ago
Cybersecurity Analyst - Closing October 14, 2026
Municipality of Port Hope
Port Hope, ON
Full-time
Added 1 day ago
Data Engineer
Insight Global
Toronto, ON
$70 to $85 CAD / hour
Contract
We are seeking a Data Engineer with strong Snowflake expertise and a solid understanding of Data Governance to support a major Wealth/Asset Management data initiative. This role will focus…
Added 1 day ago
Software Development Manager, Amazon Private Brands, Amazon Private Brands
Amazon
Vancouver, BC
Added 1 day ago
Data Scientist
Lantern
AB · Edmonton, AB
Full-time
Added 1 day ago
IT Support Specialist
Charger Logistics Inc.
Brampton, ON
Full-time
Added 1 day ago
Infrastructure Specialist, Database Analyst
Canada Life
Toronto, ON
Full-time
Added 1 day ago
Deskside Support Technician- Onsite
Compugen Inc
Toronto, ON
Full-time
Added 1 day ago
Service Desk Analyst- Onsite
Compugen Inc
Toronto, ON
Full-time

Lantern

Data Scientist

AB, Canada
Edmonton, AB, Canada

Job type: Full-time
Apply by: Oct 29, 2026
Experience: 5+ years of experience developing and delivering data science, machine learning, or AI solutions, preferably in consulting or other client-facing environments.
Posting language: English
Posted: Sep 29, 2026

Apply About employer

Applications open in a new tab.

Original job description

At Lantern, our company culture stands as the bedrock of our success and a source of pride for our teams. We firmly believe that a culture founded on trust forms the basis for enduring relationships with clients, colleagues, and partners.

Within this culture, we nurture an environment of respect, inclusion, and belonging, fostering collaboration among inspired teams. We prioritize the well-being of our colleagues, the success of our clients, and our positive impact on society.

Embracing a growth mindset where curiosity thrives, we celebrate excellence and value individuals who inspire and mentor others, elevating the collective. Our driving force lies in personal and business growth. We go above and beyond to surprise and delight our clients, delivering tangible business value. In facing challenges, we make tough choices and solve complex problems to positively influence our clients, their customers, and the world at large.

As a Microsoft services partner, we hold ourselves to the highest standards of technical excellence. This commitment to quality is evident not only in our work but also in how we support and empower our employees. At Lantern, our culture mirrors our core values and unwavering dedication to realizing our purpose and vision, making it a dynamic and fulfilling workplace. Together, we transcend the ordinary and achieve extraordinary results.

Lantern is seeking a hands-on, client-facing Senior Data Scientist to design, develop, and operationalize advanced analytics, machine learning, generative AI, and agentic AI solutions using Azure Databricks and the Microsoft data and AI ecosystem. You will partner with client stakeholders, data engineers, architects, and application teams to translate business problems into secure, governed, scalable, and explainable AI solutions - from experimentation and feature engineering through deployment, monitoring, and measurable adoption.

Key Responsibilities

Lead discovery sessions to define analytical problems, success metrics, data requirements, experimentation plans, and production roadmaps.
Explore and prepare structured and unstructured data; perform feature engineering, statistical analysis, and model selection using Python, SQL, Spark, and Databricks notebooks.
Build, evaluate, and tune predictive, forecasting, optimization, natural language processing, computer vision, generative AI, and agentic AI solutions.
Use Azure Databricks capabilities such as Delta Lake, Unity Catalog, MLflow, Feature Engineering, Model Serving, Mosaic AI, and vector search to create governed, production-ready solutions.
Integrate solutions with Microsoft Azure AI Foundry, Azure OpenAI, Microsoft Fabric, OneLake, Power BI, and Azure services as appropriate.
Implement MLOps and LLMOps practices including source control, automated testing, CI/CD, model registration, deployment, monitoring, drift detection, responsible AI, and cost optimization.
Communicate findings and model behavior through clear visualizations, executive-ready narratives, demonstrations, and technical documentation.
Own assigned workstreams, manage risks and dependencies, and collaborate with client teams to drive adoption and measurable business outcomes.
Contribute to proposals, reusable accelerators, technical standards, peer reviews, mentoring, and the growth of Lantern’s Databricks and Microsoft AI practices.

Skills, Knowledge and Expertise

5+ years of experience developing and delivering data science, machine learning, or AI solutions, preferably in consulting or other client-facing environments.
Strong hands-on experience with Azure Databricks for data preparation, distributed model development, experiment tracking, model lifecycle management, and production deployment.
Advanced proficiency in Python and SQL, with practical experience in PySpark and common data science frameworks such as scikit-learn, XGBoost, TensorFlow, or PyTorch.
Strong foundation in statistics, supervised and unsupervised learning, feature engineering, model evaluation, explainability, and experimental design.
Experience developing generative AI solutions using large language models, retrieval-augmented generation, embeddings, vector databases, prompt engineering, evaluation, and agentic patterns.
Working knowledge of Microsoft Azure AI Foundry, Azure OpenAI, Microsoft Fabric, OneLake, Power BI, and the broader Azure data and AI ecosystem.
Experience with MLOps or LLMOps, CI/CD, model serving and monitoring, data governance, Unity Catalog, security, responsible AI, performance, and cost optimization.
Strong consulting, communication, visualization, documentation, problem-solving, and stakeholder-management skills, with the ability to explain complex models to technical and executive audiences.

Preferred Certifications And Credentials

Databricks Certified Machine Learning Professional or Machine Learning Associate
Databricks Certified Generative AI Engineer Associate
Databricks Certified Data Engineer Associate or Professional
Microsoft Certified: Azure Data Scientist Associate (DP-100)
Microsoft Certified: Azure AI Engineer Associate (AI-102)
Microsoft Certified: Fabric Data Engineer Associate (DP-700) or Fabric Analytics Engineer Associate (DP-600)
Databricks Solutions Architect Champion is highly preferred and considered a strong differentiator

Apply About employer

More about this job

Responsibilities

Lead client discovery and develop, evaluate, and operationalize predictive, generative, and agentic AI solutions using Azure Databricks and Microsoft technologies. Implement governed MLOps and LLMOps practices, communicate results to stakeholders, and drive adoption and measurable business outcomes.

Requirements

Requires 5+ years of experience delivering data science, machine learning, or AI solutions, strong Python, SQL, PySpark, and Azure Databricks skills, and a solid foundation in statistics and model development. Candidates should also have experience with generative AI, production operations and governance, and strong consulting and communication skills; relevant Databricks and Microsoft certifications are preferred.

Skills

Azure Databricks
Python
SQL
PySpark
Machine Learning
Generative AI
Agentic AI
MLOps
LLMOps
Feature Engineering
Statistical Analysis
Model Evaluation
Retrieval-Augmented Generation
Azure OpenAI
Microsoft Fabric
Stakeholder Management

Visa sponsorship

Not detected in the job text

Keywords

Azure Databricks
Delta Lake
Unity Catalog
MLflow
Mosaic AI
Model Serving
Vector Search
Python
SQL
PySpark
Scikit-Learn
XGBoost
TensorFlow
PyTorch
Machine Learning
Generative AI
Agentic AI
Large Language Models
Retrieval-Augmented Generation
Embeddings
Vector Databases
Azure AI Foundry
Azure OpenAI
Microsoft Fabric
OneLake
Power BI
MLOps
LLMOps
CI/CD
Responsible AI

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