IT & data jobs in Canada

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

Counted Oct 4, 2026

Hiring at a glance

View jobs

Open jobs: 2,524
Employers: 1,311

Advertised starting pay

Average starting payCAD / year: $97,701Across 248 listings
Average starting payCAD / hour: $49.89Across 81 listings
Average starting payUSD / year: $118,422Across 50 listings

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

Where work happens

Remote: 5%129 listings
Hybrid: 40%997 listings
On-site: 55%1,390 listings

Not specified: <1% (8 listings)

Employers hiring include J&M Group (38), TD (38), 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 27 days ago
R
Data Engineer, RBC Amplify 2027, Toronto
RBC
Toronto, ON
- Full-time
As a Data Engineer you will collaborate, innovate, ideate an
Added 27 days ago
R
Data Engineer, RBC Amplify 2027, Toronto
RBC
Toronto, ON
- Full-time
As a Data Engineer you will collaborate, innovate, ideate an
Added 27 days ago
R
Data Engineer, RBC Amplify 2027, Halifax
RBC
Halifax, NS · Bedford, QC
- Full-time
As a Data Engineer you will collaborate, innovate, ideate an
Added 27 days ago
R
Data Engineer, RBC Amplify 2027, Halifax
RBC
Halifax, NS · Bedford, QC
- Full-time
As a Data Engineer you will collaborate, innovate, ideate an
Added 1 month ago
AG
Senior Data Engineer / Ingénieur(e) de données senior
Aduna Global
Montreal, QC
- Full-time
Behind those APIs sits data our teams must be able to trust: CAMARA API transaction data, operator (CSP) usage records, and cross-operator analytics that feed our BI, analytics, and ML. As…
Added 1 month ago
Senior Data Engineer - Calgary
Capgemini
Calgary, AB
Added 1 month ago
Senior Data Analyst
Konrad
Toronto, ON
Added 1 month ago
PC
Business Systems Analyst
People Corporation
Toronto, ON · Burlington, ON · ON - PC Sheppard - Toronto
- Full-time
You are responsible for process analysis, data analysis and s
Added 1 month ago
PG
Business Systems Analyst – NICE Actimize
Pacer Group
Toronto, ON
- $48 to $50 CAD / hour
- Contract
Added 1 month ago
PI
Staff Data Engineer
PENN Interactive
Canada
- Full-time
Added 1 month ago
D
Technical Project Manager – Software Implementation Services
Designfusion
Toronto, ON
- Full-time
Added 1 month ago
R
Senior Data Engineer
RBC
Vancouver, BC
- Full-time
In this role as a Senior Data Engineer, you will be responsible for development deliverables for the Finance Data Platform. The Platform, leverages Airflow and Databricks and serves as the…
Added 28 days ago
B
Junior Technical Support Analyst
BBGC
Remote, Canada
- Remote
Added 1 month ago
T
Senior Applied Machine Learning Scientist, Predictive AI(B3617)
TD
Toronto, ON · Montreal, QC
- Full-time
Added 1 month ago
System Administrator
Eastlink
Halifax, NS
Added 1 month ago
B
Senior Business System Analyst
BMO
Toronto, ON · SCC
- Full-time
Data and AI Technology (DAT) Engineering supports BMO's Digital-First, risk, regulatory and compliance requirements by providing enterprise-scale solutions using data, analytics, and…
Added 1 month ago
MH
Technical Project Manager (TPM)
MedMe Health
Remote, Canada
- $90,000 to $115,000 USD / year
- Full-time
- Remote
Added 1 month ago
K
Machine Learning Data Engineer
kadence
Montreal, QC
- Full-time
Rather than maintaining established pipelines, you’ll be helping develop new approaches to training-data engineering and curation where established playbooks often do not yet exist.
Added 1 month ago
M
Staff Data Engineer
MaintainX
Montreal, QC
- Full-time
Added 1 month ago
M
Staff Data Engineer
MaintainX
Toronto, ON
- Full-time
Added 1 month ago
WS
IT Support Technician
Waste Solutions Canada
London, ON
- Full-time
Added 2 months ago
WS
Senior Business Systems Analyst
Waterplay Solutions Corp
Kelowna, BC
- $90,000 to $120,000 CAD / year
- Full-time
Added 1 month ago
M
Data Engineer
Manulife
Toronto, ON · Waterloo, ON
- Full-time
As a Data Engineer at Manulife, you would play a critical role in the development and maintenance of the company's data systems and architecture. You would collaborate with other highly…
Added 1 month ago
AA
Sr. Business Systems & Database Analyst
ALMAG Aluminum
Brampton, ON
- Full-time
Added 1 month ago
LG
Testeur(-euse) en localisation de jeux vidéo (portugais brésilien) / Video Game Localization Tester (Brazilian Portuguese)
Lionbridge Games
Brossard, QC
- Contract

Teck Resources Limited

Data Scientist III

Vancouver, BC, Canada
Greater Vancouver, BC, Canada

$107,000 to $132,000 CAD / year · Full-time

Apply About employer

Applications open in a new tab.

Job details

Pay: $107,000 to $132,000 CAD / year
Job type: Full-time
Experience: 5+ years of experience in data science, with proven expertise in machine learning and statistical modeling.
Posting language: English
Posted: Sep 2, 2026

Original job description

Location: Vancouver, BC, Canada

Employment Type: Regular Full Time

Workplace Type: Hybrid

About Our Vancouver Office

Located in the heart of downtown Vancouver, between the Pacific Ocean and the Coast Mountains, Teck’s Corporate Office sits in one of Canada’s most culturally diverse cities.

Surrounded by world-renowned nature and globally inspired cuisine, the office brings together many of Teck’s corporate functions - all working toward Teck’s purpose of providing the essential resources the world relies on.

Role Overview

Reporting to the Lead, Data Scientist, the Data Scientist who joins the team is someone who excels in statistical modeling, machine learning, and AI, while also possessing strong capabilities in productionizing solutions and implementing mature workflows.

The successful candidate will work on end-to-end data science projects, from data exploration and model development to deployment and monitoring in production environments. Domain expertise in industrial contexts such as processing and mining is a significant advantage. Strong communication skills are essential to effectively share insights, educate stakeholders, and demonstrate the value of developed solutions.

Don't miss out on this outstanding opportunity to be part of one of Canada's leading mining companies and join our team!

Key Responsibilities

Be a courageous safety leader, adhere to and sponsor safety and environmental rules and procedures.
Design, develop, and deploy machine learning models, advanced analytics, and Generative AI solutions in production environments.
Implement and maintain robust workflows, including experiment tracking, model versioning and performance evaluation, production model monitoring, drift detection, and retraining strategies.
Collaborate with cross-functional teams to understand business challenges and translate them into data-driven solutions.
Collect, process, and analyze large-scale datasets from diverse sources using modern data engineering practices.
Ensure scalability, reliability, and security of data pipelines and deployed models.
Communicate findings clearly to technical and non-technical stakeholders, emphasizing model interpretability, actionable insights, and a clear understanding of the key drivers behind model behavior.
Continuously evaluate and improve models based on feedback and evolving business needs.
Stay current with emerging technologies and best practices in data science, machine learning, and industrial analytics.

Qualifications

Master’s or PhD in Data Science, Computer Science, Statistics, or a related quantitative field, with strong practical experience in applying Data Science techniques to real world problem settings.
5+ years of experience in data science, with proven expertise in machine learning and statistical modeling. Experience with causal inference or causal modeling approaches is a plus.
Hands-on experience in productionizing ML solutions and implementing MLOps practices (e.g., CI/CD for ML, model monitoring, experiment tracking).
Strong programming skills in Python and proficiency with ML frameworks (Scikit-learn).
Experience with cloud platforms (e.g. Microsoft Azure), modern analytics platforms such as Databricks, and containerization (Docker).
Solid understanding of data development principles and distributed systems.
Familiarity with industrial domains such as processing and mining is highly desirable.
Excellent communication and presentation skills to convey technical concepts to diverse audiences.
Ability to work collaboratively in agile teams and adapt to fast-paced environments.
Passion for innovation, continuous improvement, and a strong focus on delivering tangible value through data-driven solutions.

Pay Range: CAD $107,000 - $132,000 per year

The actual amount offered is determined based on the successful candidate’s relevant experience, skills, and competencies and considers internal equity.

Why Teck

At Teck, your work matters - to the world, to our communities and to your future.

As a leading Canadian resource company, we focus on responsibly providing the metals essential for global development and the energy transition while caring for the people, communities and land that we love. We do this guided by our values that, together, form The Teck Way.

At Teck, you’ll find purpose-driven work, a culture of respect and inclusion, and the opportunity to grow your career while helping build a better world.

Apply with us

Take the next step in your career by applying for the Data Scientist III role.

We review applications on a rolling basis and encourage you to apply, even if your background doesn’t match every requirement. We value diversity and are committed to an inclusive, barrier-free hiring process. Reasonable accommodations are available upon request.

Requisition ID: 54038 | Job Category: Technology | Employment Type: Regular Full Time | Location: Vancouver | Workplace Type: - Hybrid

Apply About employer

More about this job

Responsibilities

Design, develop, and deploy machine learning and Generative AI solutions within production environments. Collaborate with cross-functional teams to translate business challenges into scalable, data-driven solutions and maintain robust MLOps workflows.

Requirements

Requires a Master's or PhD in a quantitative field and over 5 years of experience in data science and statistical modeling. Proficiency in Python, ML frameworks, cloud platforms like Azure, and experience productionizing ML solutions is essential.

Skills

Statistical Modeling
Machine Learning
Generative AI
MLOps
Python
Scikit-learn
Microsoft Azure
Databricks
Docker
Causal Inference
Data Engineering
CI/CD for ML
Model Monitoring
Distributed Systems
Industrial Analytics
Communication

Visa sponsorship

Not detected in the job text

Keywords

Data Science
Machine Learning
Generative AI
MLOps
Python
Scikit-learn
Microsoft Azure
Databricks
Docker
Causal Inference
CI/CD
Model Versioning
Drift Detection
Distributed Systems
Mining
Industrial Analytics
Data Pipelines
Statistical Modeling
Agile
Model Interpretability

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