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: 2,519
Employers: 1,311

Advertised starting pay

Average starting payCAD / year: $97,701Across 248 listings
Average starting payCAD / hour: $49.93Across 80 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%130 listings
Hybrid: 40%996 listings
On-site: 55%1,385 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 1 month ago
Economic Data Scientist
Government of Alberta
Edmonton, AB
Added 2 months ago
OT
Testeur(euse) de Systèmes Intégrés / Integrated Systems Tester
OPAL-RT TECHNOLOGIES India Pvt. Ltd.
Montreal, QC
- Other
Added 1 month ago
CL
Business Systems Manager - Logistics
Charger Logistics Inc.
Brampton, ON
- Full-time
Added 1 month ago
F
Data Scientist (ML Engineer)
Flywheel
Toronto, ON
- Full-time
Added 1 month ago
VA
IT Support Technician
Vancouver Airport Authority
Vancouver, BC
- Full-time
Added 1 month ago
TR
Desktop Support Technician
Teck Resources Limited
Vancouver, BC · Greater Vancouver Metropolitan Area
- Full-time
Added 26 days ago
Staff Machine Learning Engineer, Generative AI (Auth0)
Okta
Toronto, ON
Added 1 month ago
ES
HR & Systems Administrator
Edelweiss Software Group
Montreal, QC
- Full-time
Added 1 month ago
V
Information Security Analyst
Vretta
Toronto, ON
- Full-time
Added 1 month ago
V
Data Analyst
Vretta
Toronto, ON
- Full-time
Vretta is looking for a Data Analyst to join our Data and Evaluation team. This position requires excellent communication skills, creative problem solving ability, and a sound technical…
Added 1 month ago
V
Data Engineer
Vretta
Toronto, ON
- Full-time
Vretta is looking for a Data Engineer to join our Data and Evaluation team. This position requires excellent communication skills, creative problem solving ability, and a sound technical…
Added 1 month ago
EF
Cloud Database Administrator
Element Fleet Management
Toronto, ON
- Full-time
Added 1 month ago
BS
Staff/Lead Application Security Engineer
Beacon Software
Toronto, ON
- Full-time
Added 1 month ago
AP
IT Support & Systems Specialist
Air Partners Corp. / AircraftWorks Ltd.
AB · Calgary, Alberta
- Full-time
Added 1 month ago
UO
Systems Administrator & Business Analyst
University of Niagara Falls Canada
Niagara Falls, ON
- $90,000 to $110,000 CAD / year
Added 1 month ago
JG
Business systems analyst (BSA)
J&M Group
Brampton, ON
- Contract
Added 1 month ago
ES
Machine Learning Engineer - EA Sports FC
EA SPORTS
Vancouver, BC
- Full-time
Added 1 month ago
S
Data Architect - Canada Region
Slalom
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Added 1 month ago
O
Sr. Engineer System administrator
OnX
Toronto, ON
- Full-time
Added 1 month ago
B
Data Engineer
BMO
Toronto, ON · SCC
- Full-time
Data and AI Technology (DAT) Engineering supports BMO's Digital-First, risk, regulatory and compliance requirements by building data and AI products that provide timely actionable insights…
Added 1 month ago
B
Data Engineer
BMO
Toronto, ON · SCC
- Full-time
Data and AI Technology (DAT) Engineering supports BMO's Digital-First, risk, regulatory and compliance requirements by building data and AI products that provide timely actionable insights…
Added 1 month ago
Senior Data Analyst
Government of Alberta
Edmonton, AB
Added 1 month ago
MS
Data Scientist (NLP Specialist) – Legal and Compliance (Hybrid)
Morgan Stanley
Montreal, QC
- Full-time
We're seeking someone to join our team as a Data Scientist (NLP Specialist) in Non-Financial Risk to develop and deploy advanced AI models using NLP, Machine Learning, and quantitative…
Added 1 month ago
IT Support Specialist (Co-Op) Fall 2026
ManagePoint Technologies Inc
London, ON
Added 1 month ago
P
Operations & Systems Analyst
PreCon
Woodstock, ON
- Full-time

HelloFresh

Senior Data Scientist, Commercial

Toronto, ON, Canada

$104,000 - $114,000 CAD

Apply About employer

Applications open in a new tab.

Job details

Pay: $104,000 - $114,000 CAD
Experience: 3–5 years of experience leading data science projects and driving quantifiable business value.
Posting language: English
Posted: Sep 11, 2026

Original job description

The Senior Data Scientist is responsible for building, testing, and deploying statistical and machine learning models, and conducting data deep dives which drive a better understanding of our customers, products, and operations. Reporting to the Senior Manager, Data Science and Engineering, this role will be responsible for devising and building effective and scalable data-driven solutions.

Lettuce share what this role will be responsible for

Collaborate with data engineers, data analysts, enterprise architects and functional business units to design and execute end-to-end AI integration strategies across business workflows.
Lead the design, building, fine-tuning, and deployment of data and AI solutions, including statistical models, ML pipelines, Generative AI applications, and advanced statistical analysis.
Architect and integrate AI models, APIs, and microservices into production environments, ensuring seamless operational performance, security, and scalability.
Coach junior data scientists on AI engineering, ML integration best practices, and effective data science project delivery.
Maintain up-to-date knowledge of emerging machine learning, deep learning, and Generative AI frameworks, identifying novel applications for the business.
Liaise with Global data science teams to identify opportunities for cross-functional collaboration, code reviews, joint AI initiatives, and the adoption of new technologies.
Contribute to the development, implementation, and governance of the global MLOps and LLMOps platforms in Canada.
All other duties, as assigned

Sound a-peeling? Here's what we're looking for

3–5 years of experience leading data science projects and driving quantifiable business value.
Proven track record of integrating AI models into existing business workflows and production software applications.
Experience identifying business opportunities for AI and ML solutions, scoping and prioritizing projects, and structuring execution strategies.
Hands-on experience with MLOps/LLMOps frameworks, API integrations, and model monitoring/evaluation in production.
Strong proficiency in Python programming and modern ML/AI frameworks
Advanced SQL querying skills.
Bachelor’s degree in STEM, Economics, or Business preferred, or equivalent work experience.

Let’s cut to the cheese, this is why you'll love it here

Box Discount - Amazing discounts on 1 box per week! 75% discount on weekly HelloFresh and Chefs Plate meal kits AND 50% off weekly Factor meal box.
Health & Wellness - Health & Dental benefits from day 1, a Health Spending Account, unlimited access to the Headspace app to meet your self-care needs, and 25% discount on GoodLife fitness memberships!
RRSP Matching - Competitive RRSP matching program offered
Vacation & PTO - Time off is also an important part of self-care! We offer generous vacation and PTO to help you create a good work-life balance.
Family Benefits - A parental leave top-up program for expectant parents.
Growth & Development - We support your career progression, provide development opportunities, and invest in your continued learning through our organization wide L&D fund.
Work Hard & Have Fun - From team socials to engaging company days, you’ll have plenty of opportunity to experience the fun!
Diversity & Inclusion Initiatives - With impactful ERG’s like FreshPride, Women Empowered and LIMES, we are committed to our diversity, equity & inclusion efforts.
Food Puns - this one is kind of a big dill if you haven’t already noticed. We even have some punny meeting room names!

Flexible Hybrid Approach

At HelloFresh, we know that flexible work arrangements are essential in enabling you to do your best work, while balancing your personal and life needs. Offering remote work flexibility, along with the opportunity to interact and collaborate in the office are all a part of creating a great employee experience.

To meet these needs, we are pleased to provide Flexible Hybrid work. Flexible Hybrid is a people-first approach that is based on choice, trust, personalization, and empowers teams to choose when and how often they work from the office and work from home, in addition to team days and company days. This means a minimum of 2 days in office per week, with most teams in office between 2-3 days a week.

Working Conditions

It’s no surprise that as a food company, we use many ingredients that may be considered common allergens (i.e. peanuts, tree nuts, milk, etc.). Whether this role is based out of our headquarters or one of our distribution centers, it is possible that you may be exposed to such allergens in this role. If you have any concerns with being exposed to any particular food ingredients, including meat, please disclose this during the hiring process.

HelloFresh Canada uses AI-integrated technology to help us process and evaluate applications more efficiently. This includes tools that screen and assess candidate qualifications based on the requirements for this role. While these tools assist our workflow, all final selection decisions are made by our hiring team.

This is a posting for an existing vacancy. We are actively seeking to fill this position.

Interested in joining the HelloFresh team? Don’t be chai, apply! Submit your application in PDF format today.

Toronto, ON Pay Range

$104,000 - $114,000 CAD

Apply About employer

More about this job

Responsibilities

The Senior Data Scientist will design, build, and deploy statistical and machine learning models while collaborating with cross-functional teams to integrate AI solutions into business workflows. They will also provide technical leadership, mentor junior staff, and contribute to the governance of global MLOps and LLMOps platforms.

Requirements

Candidates must have 3–5 years of experience leading data science projects with a proven track record of integrating AI models into production environments. Proficiency in Python, advanced SQL, and hands-on experience with MLOps/LLMOps frameworks are required, along with a degree in STEM, Economics, or Business.

Skills

Python
SQL
Machine learning
Statistical modeling
Generative AI
MLOps
LLMOps
API integration
Data science
Microservices
Deep learning
Model monitoring
Data engineering
Project management
AI integration

Benefits

Box discount
Health and dental benefits
Health spending account
Headspace app access
Fitness membership discount
RRSP matching
Vacation and PTO
Parental leave top-up
Learning and development fund

Visa sponsorship

Not detected in the job text

Keywords

Data Science
Machine Learning
Python
SQL
Generative AI
MLOps
LLMOps
API
Microservices
Statistical Analysis
Deep Learning
Data Engineering
Production Environments
AI Integration
STEM
Economics
Business
Model Monitoring
Scalability
Governance

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