IT & data jobs in Canada

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

Counted Sep 18, 2026

Hiring at a glance

View jobs

Open jobs: 2,677
Employers: 1,296

Advertised starting pay

Average starting payCAD / year: $98,311Across 252 listings
Average starting payCAD / hour: $50.49Across 85 listings
Average starting payUSD / year: $116,799Across 55 listings
Average starting payUSD / hour: $57.93Across 12 listings

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

Where work happens

Remote: 5%128 listings
Hybrid: 39%1,040 listings
On-site: 56%1,489 listings

Not specified: 1% (20 listings)

Employers hiring include RBC (74), Royal Bank of Canada (58), TD (49).

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

Save this search

Added 3 mins ago
network administrator
Solutions GA
Sainte-Marie, QC
Full-time
Added 1 hour ago
Data Analyst, Administration & Finance
Unified Procurement Services Team (UPST)
NB · Chiasson Office, NB
Full-time
Categories: Business & Financial Services, Analytics/Programming/Data, Procurement
Added 1 hour ago
systems testing technician
Locher Evers International
Delta, BC
Full-time
Added 2 hours ago
Systems Administrator
University of Victoria
Victoria, BC
Full-time
Reporting to the Associate Director, Data Centre Services, the Systems Administrator works as part of a team to design, build, and ensure the operational effectiveness and security of the…
Added 3 hours ago
IT Support Specialist
CubePeaks Technology
Brampton, ON · Regional Municipality of Peel, ON
Full-time
Added 4 hours ago
Senior Operations Data Analyst (Hybrid)
Kardium Inc.
Burnaby, BC
$90,000 to $125,000 CAD / year
Full-time
Added 4 hours ago
Data Analyst, Sr.
Sundayy
Canada
Full-time
…professional growth and innovation. With a focus on leveraging data-driven insights to inform strategic decisions, the organization prides itself on its…
Added 6 hours ago
Enterprise Data Architect
Citi
Mississauga, ON
Full-time
Job Description Summary: The position is within ICG Technology, and we are seeking a Enterprise Data Architect with strong hands-on experience in developing Conceptual, Logical and Physical…
Added 6 hours ago
Vice President, Data Scientist
BMO
Toronto, ON · FCP
Added 6 hours ago
Senior Application Support Analyst - Finance IT & Audit Technology (FIAT)
Royal Bank of Canada
Vancouver, BC
Full-time
Added 6 hours ago
Senior Data Analyst
Clutch Technologies Inc.
Toronto, ON
Added 7 hours ago
Technical Project Manager
Loblaw Companies Limited
Brampton, ON
Full-time
Added 7 hours ago
Service Desk Analyst
Wepoint
Ottawa, ON · Montreal, QC
Full-time
Added 7 hours ago
Intern - Systems Administrator
iA Financial Group
Toronto, ON · Montreal, QC · Quebec, QC
$25 to $30.5 CAD / hour
Full-time
Added 7 hours ago
Data Analyst
iA Financial Group
Montreal, QC · Quebec, QC
Full-time
Are you passionate about data and creating value? Would you like to contribute to decisions that shape the future of individual insurance?
Added 7 hours ago
Data Scientist
MLSE (Maple Leaf Sports & Entertainment Partnership)
Toronto, ON · Scotiabank Arena
Full-time
Added 7 hours ago
Staff Data Engineer
RBC
Toronto, ON
Full-time
As Lead Data Engineer in Investor & Treasury Services Data Engineering team within Technology and operations office, you will design, implement, and support enterprise data architecture…
Added 7 hours ago
Lead, Machine Learning Engineer, GFT
RBC
Toronto, ON
Full-time
Added 8 hours ago
Senior Data Engineer
Boardwalk
Calgary, AB
Contract
Added 8 hours ago
Data Analyst - Portfolio Reporting, Real Estate Debt
QuadReal Property Group
Vancouver, BC
Full-time
Added 8 hours ago
Technical Project Manager
Jefferson Health
Hamilton, ON
Full-time
Added 8 hours ago
Data Scientist
NRG Energy
Calgary, AB
Full-time
Added 8 hours ago
Data Analyst, Product Insights - New Grad
Jobright.ai
Canada
Full-time
…accelerating your route to the best job outcomes. The New Grad Data Analyst will uncover insights to guide product strategy and improve user outcomes by exploring behavioral data, customer…
Added 9 hours ago
Senior Application Support Analyst
RBC
Toronto, ON
Full-time
Added 9 hours ago
Senior Application Support Analyst - Finance IT & Audit Technology (FIAT)
RBC
Vancouver, BC
Full-time

MLSE (Maple Leaf Sports & Entertainment Partnership)

Data Scientist

Toronto, ON, Canada
Scotiabank Arena, Canada

Pay: $105,000 - $115,000
Job type: Full-time
Apply by: Sep 27, 2026

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Applications open in a new tab.

At a glance

Automatically prepared from the listing. Check the original description for the full requirements.

Jump to the original description

Responsibilities

Design, build, and maintain predictive statistical and machine learning models to optimize player evaluation and tactical performance. Translate complex data insights into actionable visualizations and briefs for front-office leaders and coaching staff.

Requirements

Requires a Master’s or Ph.D. in a quantitative field such as Statistics, Data Science, or Computer Science. Candidates must possess advanced programming proficiency in Python or R and strong experience with machine learning and statistical modeling techniques.

Experience

5 to 10 years

Education

postgraduate degree

Working hours

40 hours per week

Work arrangement

On-site

Skills

Python
R
SQL
Machine Learning
Statistical Modeling
Predictive Modeling
Spatio-temporal Analysis
Bayesian Inference
Deep Learning
Data Visualization
Git
Unit Testing
Scikit-learn
PyTorch
XGBoost
Monte Carlo

Visa sponsorship

Not detected in the job text

Keywords

Data Science
Statistics
Machine Learning
Python
R
SQL
Predictive Modeling
Spatio-temporal Modeling
Bayesian Inference
Deep Learning
Scikit-learn
PyTorch
XGBoost
PyMC
Stan
Git
Unit Testing
Monte Carlo
Reinforcement Learning
MLOps
Docker
AWS
GCP
Sports Analytics
Data Engineering
Quantitative Research
Player Evaluation
Tactical Simulation
Backtesting
Data Visualization

Original job description

Powered by Passion. United by Purpose. Build for Impact.

At Maple Leaf Sports & Entertainment Partnership (MLSE), we exist to deliver the ultimate fan experience by lifting trophies, spirits, and communities – united as one.

We're more than a workplace. We are a team of passionate people, boldly building the future of sport and entertainment, together. We believe in the power of play, the strength of collaboration, and the energy that comes from showing up with purpose.

From the ice to the pitch, the hardwood to the digital arena, we’re proud to be the driving force behind the Toronto Maple Leafs (NHL), the Toronto Raptors (NBA), Toronto FC (MLS), Toronto Argonauts (CFL) and development teams with the Toronto Marlies (AHL), Raptors 905 (NBA G League), Toronto FC II (MLS NEXT Pro League) and Raptors Uprising Gaming Club, the Toronto Raptors Esports franchise in the NBA 2K League.

We bring these teams – and world-class entertainment – to life at our iconic venues, including Scotiabank Arena, BMO Field, Coca-Cola Coliseum, Ford Performance Centre, BMO Training Ground, and OVO Athletic Centre. Off the field, we serve up elevated dining at e11even, Real Sports, and our signature club spaces like Hot Stove Club, ScotiaClub, and Platinum Club.

Through MLSE Foundation and MLSE LaunchPad, we use the power of sport to help youth facing barriers reach their full potential. Since 2009, we’ve invested more than $45 million into Ontario communities -- and we’re just getting started.

This is what it means to be One MLSE: a culture where everyone plays a role, everyone belongs, and everyone contributes to something bigger than themselves.

So, if you're ready to play with purpose, grow with passion, and win as one, we’d love to have you on our team.

** We know that great candidates come from a variety of backgrounds and experiences. Even if you do not meet every qualification listed, we encourage you to apply. Your unique perspective, transferable skills, and lived experience may be exactly what we’re looking for. **

Job Description

Responsibilities

Design, build, evaluate, and maintain predictive statistical and machine learning models for player evaluation, projectable skill growth, player acquisition, tactical simulation, and performance optimization.
Extract actionable insights from spatio-temporal tracking data to drive quantitative player evaluation.
Conduct rigorous exploratory research using advanced quantitative techniques (e.g. Bayesian inference, spatial modeling, survival analysis, or deep learning) to uncover unexploited market inefficiencies.
Systematically audit, backtest, and refine existing internal predictive models to ensure high accuracy and adaptability through changes in game rules or industry economics.
Partner closely with data engineering teams to design scalable features, automated data pipelines, and production workflows for seamless model deployment.
Translate complex probabilistic outputs and model predictions into intuitive visualizations, executive briefs, and actionable insights for front-office leaders, coaches, and scouts.

Qualifications

Master’s or Ph.D. in Statistics, Data Science, Computer Science, Applied Mathematics, Operations Research, or equivalent practical quantitative research experience.
Deep statistical learning knowledge and hands-on experience applying machine learning techniques, such as gradient-boosted decision trees, hierarchical/mixed-effects models, neural networks, or spatio-temporal modeling.
Advanced programming proficiency in Python and/or R for numerical computing, data manipulation, and model development (using libraries such as scikit-learn, PyTorch, XGBoost, tidyverse, or PyMC/Stan).
Strong command of SQL for extracting, aggregating, and joining large-scale relational datasets.
Practical experience with software development best practices, including clean code principles, version control (Git), unit testing, and reproducible research workflows.

Nice-to-haves:

Experience with stochastic simulation methods (e.g., Monte Carlo) or reinforcement learning for game strategy optimization and decision modeling under uncertainty.
A portfolio of public sports analytics research, open-source sports data science projects, or competition entries evaluating athlete performance or tactical dynamics.
Familiarity with modern MLOps workflows, containerization (Docker), and cloud infrastructure (AWS or GCP) for scaling predictive models.

Job Posting Compensation Range/Rate:

$105,000 - $115,000

We’re glad you’re here. Once you apply, we’ll follow up by email, and you can track everything in your Candidate Portal. Want instant updates? Opt-in for SMS notifications to stay in the loop.

At MLSE, we are committed to building an equitable, diverse and inclusive organization. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. MLSE will provide reasonable accommodation for qualified individuals with disabilities in the job application process. If you have difficulty using our online application system and you need an accommodation due to a disability, please email [email protected]. This email is only for accommodation requests. Resumes sent to this email address will not be considered.

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