IT & data jobs in Canada

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

Counted Oct 26, 2026

Hiring at a glance

View jobs

Open jobs: 3,919
Employers: 1,822

Advertised starting pay

Average starting payCAD / year: $96,515Across 350 listings
Average starting payCAD / hour: $48.59Across 260 listings
Average starting payUSD / year: $122,129Across 57 listings
Average starting payUSD / hour: $45.33Across 15 listings

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

Where work happens

Remote: 5%177 listings
Hybrid: 38%1,499 listings
On-site: 57%2,229 listings

Not specified: <1% (14 listings)

Employers hiring include TD (67), J&M Group (45), S M Software Solutions Inc (44).

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

Email me new jobs Save this search

Added 20 days ago
CL
IT Business Systems Analyst
Canada Life
London, ON
- Full-time
Added 20 days ago
MV
Cyber Security Analyst
Metro Vancouver
BC · British Columbia, Canada
- Full-time
Added 20 days ago
CA
Data Engineer
Compass, a Kicksaw Company
Montreal, QC
- Full-time
Compass Analytics is excited to recruit a talented and driven Data Engineer to join our growing Analytics Delivery team. The ideal candidate will have a passion for building data solutions,…
Added 20 days ago
RH
Database Administrator
Robert Half
Toronto, ON
- $80,000 to $90,000 CAD / year
- Full-time
Are you a database professional who enjoys optimizing performance, supporting business-critical systems, and contributing to modern cloud-based data initiatives?
Added 20 days ago
Senior Machine Learning Engineer, Recommendations
Lyft
Toronto, ON
With a billion rides per year and counting, Lyft is solving hard problems in a rapidly growing domain with a lot of data and creative solutions in Rider, Marketplace, Growth, and beyond.…
Added 20 days ago
L
Database Administrator
LCBO
Toronto, ON
- Full-time
Added 20 days ago
R
Architecte de données / Data Architect
RTX
Longueuil, QC
- Full-time
Added 20 days ago
M
Analyste, systèmes et opérations RH l People Operations Systems Analyst
Medisca
Montreal, QC
- Full-time
Added 20 days ago
NF
Data Engineer
Nature Fresh Farms
Leamington, ON
- $75,000 to $100,000 CAD / year
- Full-time
Added 20 days ago
J
Data Engineer (Early Career) (Canada)
Jobright.ai
Canada
- Full-time
Jobright is your personal AI job search agent transforming the job search process. They are seeking an early-career Data Engineer to design and build data pipelines, ensuring data quality…
Added 20 days ago
Senior Data Scientist I
Bell
Toronto, ON
Added 20 days ago
FB
System Administrator
fgf brands
Toronto, ON · Greater Toronto Area, ON
- Other
Added 20 days ago
L
Technical Support Engineer
Luxoft
Toronto, ON
- Contract
Added 20 days ago
J
Data Analyst, Business Intelligence - Entry Level
Jobright.ai
Canada
- Full-time
…accelerating your route to the best job outcomes. The Entry-Level Data Analyst will build reliable reporting and business-intelligence systems, helping teams understand company performance…
Added 20 days ago
J
Machine Learning Engineer Intern
Jobright.ai
Canada
- Internship
…will develop and evaluate machine-learning features, support data pipelines and integrations, investigate model quality and reliability, and improve ML development…
Added 20 days ago
DI
Business System Analyst (Mandarin)
Dawn InfoTek
Toronto, ON
- Contract
Added 20 days ago
CI
System Administrator - 6 month Contract
Compugen Inc
Vancouver, BC
- Contract
Added 20 days ago
Principal Data Scientist
Region of Waterloo
Waterloo, ON
Added 20 days ago
AT
lead data scientist
ApoSys Technologies Inc.
Mississauga, ON
- Full-time
Added 20 days ago
CC
Data Scientist
Coca-Cola Canada Bottling Limited
Toronto, ON
- Full-time
Added 20 days ago
C
Data Analyst
CGI
Toronto, ON
- Full-time
We are seeking a Data Analyst responsible for delivering actionable insights to support operational performance, transformation initiatives, and decision-making.
Added 20 days ago
AG
Data Analyst - PT
Acosta Group
Toronto, ON · Etobicoke, ON
- Part-time
Responsible for location specific data modification.
Added 20 days ago
NQ
director of software engineering
Nord Quantique
Sherbrooke, QC
- Full-time
Added 20 days ago
Data Scientist
CONA Services
Toronto, ON
Added 20 days ago
Data Scientist
CONA Services
Toronto, ON

CONA Services

Data Scientist

Toronto, ON, Canada

Salary – The base salary range for this position is from $82,800 - $105,000 annually.

Apply About employer

Applications open in a new tab.

Job details

Pay: Salary – The base salary range for this position is from $82,800 - $105,000 annually.
Experience: 3+ years of experience in data science, advanced analytics, or applied machine learning roles, with exposure to business-focused analytics.
Posting language: English
Posted: Sep 17, 2026

Original job description

Toronto, Ontario | Hybrid

Human Powered. Customer Centric. Future Ready.

For more information about Coke Canada Bottling and our products, visit cokecanada.com/our-product.

Role Details

Work Location – Toronto
Hybrid - This is a hybrid role, requiring 1-2 days per week in the office based on business needs. In-office expectations are subject to change as business requirements evolve.
Salary – The base salary range for this position is from $82,800 - $105,000 annually.
Initial Posting Close Date – October 16, 2026

The starting base salary offered is based on market location and may vary depending on job-related knowledge, role complexity, skills, experience, and internal equity.

About This Opportunity

We are recruiting for a Data Scientist to join our Data Science and Advanced Analytics team. This Advanced Analytics role is part of the broader Technology function and plays a key role in supporting high impact, data driven initiatives across the organization. The team partners with stakeholders in commercial strategy, sales execution, and operations to address complex business challenges through advanced analytics and machine learning.

As a Data Scientist, you will contribute to cross functional projects involving demand modeling, promotion and trade spend optimization, pricing and elasticity analysis, network and inventory optimization, and scenario modeling. You will work closely with business partners to translate exploratory analytical work into scalable, production ready solutions that enhance planning, strengthen decision making, and improve execution across the organization.

This is an exciting opportunity to leverage your experience in data science, advanced analytics, or applied machine learning to help solve meaningful business challenges and turn complex data into practical, scalable insights.

Responsibilities

Contribute to analytics initiatives using statistical and machine learning techniques to solve business problems in demand forecasting, pricing, and product optimization.
Support the development and improvement of analytical models to understand demand drivers and price elasticity, ensuring insights are practical, reliable, and business-relevant.
Assist in building tools and analytical processes that improve trade spend effectiveness and promotional performance, enabling smarter commercial and sales decisions.
Support analytics initiatives that enhance operational planning and execution, applying data-driven insights as the function expands into operations-focused areas.
Create clear visualizations and collaborate with cross-functional teams to translate data insights into actionable recommendations for commercial, sales, and operations stakeholders.

Qualifications

Bachelor’s degree or a college diploma in a quantitative or technical field (e.g., Statistics, Mathematics, Data Science, Engineering); a Master’s degree is considered an asset.
3+ years of experience in data science, advanced analytics, or applied machine learning roles, with exposure to business-focused analytics.
Strong experience working with large, complex datasets and proficiency in SQL and Python.
Experience applying statistical modeling and machine learning techniques, such as regression-based models, tree-based models and optimization approaches.
Foundational understanding of demand forecasting, elasticity modeling, promotional analysis, or scenario modeling.
Familiarity with analytics development within Databricks and the Azure data ecosystem is considered an asset.
Strong proficiency in data visualization tools such as Power BI (preferred) or Tableau.
Ability to communicate analytical concepts clearly to both technical and non-technical audiences.
Proactive mindset with the ability to work through ambiguity, take initiative, and suggest new analytical approaches or opportunities to improve business outcomes.

#CBSAS

Why join Coke Canada Bottling?

Coke Canada Bottling is Canada’s Local Bottler. We’re Made Local.

Proudly independent, Canadian and family-owned, we make, distribute, merchandise and sell some of the most-loved beverages Canadians enjoy. Our more than 6,000 employees work coast-to-coast across over 50 sales and distribution centres and five manufacturing facilities.

Here, you can:

Influence meaningful people and business decisions.
Develop your capabilities through experience, coaching and learning resources.
Access a comprehensive benefits package supporting your physical, mental and financial well-being.
Participate in retirement and savings programs, paid vacation and floater days.
Give back through employee volunteer opportunities in the communities where we live and work.
Help advance our vision of becoming the World’s Greatest Bottler, Built by the Best People.

Bring your perspective

Coke Canada Bottling has been recognized as one of Canada’s Best Employers for Diversity. We are committed to fostering a diverse, equitable and inclusive workplace where everyone feels they belong.

Research shows that women-identifying candidates and members of other marginalized communities may hesitate to apply unless they meet every qualification. If this opportunity excites you, we encourage you to apply - even if your experience does not match every item listed. Your perspective could be exactly what we need. Unless otherwise specified, this posting is for an existing vacancy.

Our hiring process is human-driven and does not use AI tools to make screening, assessment or selection decisions. If you require accommodation or support during the recruitment process, please call 1-844-383-2653 or email interviewaccommodations@cokecanada.com.

Background clearance

All offers of employment with Coke Canada Bottling are conditional upon successful background clearance completed through our contracted third-party provider. Requirements vary by position and may include criminal, employment and education verification, as well as a driver’s abstract where applicable.

Please speak with the Talent Acquisition team if you have questions once you are contacted for further consideration.

Apply About employer

More about this job

Responsibilities

The Data Scientist will contribute to analytics initiatives using machine learning to solve business problems in demand forecasting, pricing, and product optimization. They will also collaborate with cross-functional teams to translate data insights into actionable recommendations for commercial, sales, and operations stakeholders.

Requirements

Candidates must have a bachelor's degree in a quantitative field and at least 3 years of experience in data science or applied machine learning. Proficiency in SQL, Python, and data visualization tools like Power BI or Tableau is required.

Skills

Data science
Advanced analytics
Machine learning
SQL
Python
Statistical modeling
Demand forecasting
Price elasticity
Optimization
Data visualization
Power BI
Tableau
Databricks
Azure
Scenario modeling
Communication

Benefits

Retirement and savings programs
Paid vacation
Floater days

Visa sponsorship

Not detected in the job text

Keywords

Data Science
Advanced Analytics
Machine Learning
SQL
Python
Demand Forecasting
Price Elasticity
Optimization
Databricks
Azure
Power BI
Tableau
Scenario Modeling
Statistical Modeling
Regression-based Models
Tree-based Models
Commercial Strategy
Sales Execution
Operations
Data Visualization
Trade Spend Optimization

Report this job