IT & data jobs in Canada

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

Counted Oct 30, 2026

Hiring at a glance

View jobs

Open jobs: 4,395
Employers: 1,965

Advertised starting pay

Average starting payCAD / year: $96,136Across 392 listings
Average starting payCAD / hour: $49.95Across 291 listings
Average starting payUSD / year: $121,177Across 59 listings
Average starting payUSD / hour: $46.76Across 17 listings

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

Where work happens

Remote: 4%185 listings
Hybrid: 38%1,675 listings
On-site: 57%2,521 listings

Not specified: <1% (14 listings)

Employers hiring include TD (77), S M Software Solutions Inc (64), J&M Group (47).

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 8 days ago
H
Analyste fonctionnel / Data
Highspring
Montreal, QC
- Contract
Added 8 days ago
LC
Senior Business Data Analyst
Loblaw Companies Limited
Brampton, ON
- Full-time
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KC
Senior Consultant, Databricks Data Engineer, Data & AI
KPMG Canada
Calgary, AB
- Full-time
Our team is looking for a Data Engineer with extensive hands
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KC
Senior Consultant, Microsoft Fabric Data Engineer, Data & AI
KPMG Canada
Calgary, AB
- Full-time
Our team is looking for a Data Engineer with deep hands-on e
Added 8 days ago
GA
Analyste fonctionnel - SAP FICO | Functional Analyst - SAP FICO
Groupe Avversita
Montreal, QC
- Full-time
Added 8 days ago
W
Senior Data Analyst, Operations
Waabi
Toronto, ON
- Full-time
Added 8 days ago
T
Data Scientist II
TD
Toronto, ON · Ottawa, ON
- Full-time
Added 8 days ago
C
Sr Cloud Data Engineer
CIBC
Toronto, ON
- Full-time
Added 8 days ago
Business Systems Analyst, Banking Technology - Staff/Senior Consultant
EY
Toronto, ON · Montreal, QC
Added 8 days ago
X
Data Scientist - Experimental Physics
Xanadu
Toronto, ON
- Full-time
Added 8 days ago
TM
Network Administrator
Toyota Motor Corporation
Kamloops, BC · Toyota Canada Inc - Head Office
- Full-time
Added 8 days ago
RB
Senior Data Scientist
Royal Bank of Canada
Toronto, ON
- Full-time
We are seeking a talented Data Scientist to join our team at RBC, where you will leverage data-driven insights to solve comple
Added 8 days ago
WI
Process & Data Analyst
Wesgar Inc.
Port Coquitlam, BC
- Full-time
Added 8 days ago
E
Machine Learning Engineer
EvenUp
Toronto, ON
- $130,000 to $205,000 USD / year
- Full-time
Added 8 days ago
T
Senior Data Scientist – LLM Fine-Tuning (NLP, Contract)
TekRek
Canada
- Contract
An AI and data engineering consultancy that builds data platforms and AI products for enterprise clients. Its delivery team is spread across Europe, and this engagement sits with a major…
Added 8 days ago
WA
IT Support Specialist/ Spécialiste du soutien informatique
Western Alliance
Kirkland, QC
- Full-time
Added 8 days ago
PF
Senior Data Engineer - Data Governance & DataOps
Pattison Food Group
Langley (District), BC · Langley Office - Langley BC
- Full-time
We have an exciting opportunity for a full-time Senior Data Engineer – Data Governance & DataOps to join our IT team in Langley, BC.
Added 8 days ago
TI
Data Engineer
Tekgence Inc
Markham, ON
- Contract
Experience in the insurance industry and ability to understand underwriting data terminology
Added 8 days ago
WH
Office Manager & IT Support
Whitetail Homes Group
BC · British Columbia, Canada
- Full-time
Added 8 days ago
ZS
Technical Systems Analyst Canadian Wealth &asset
Zodiac Solutions, Inc
Toronto, ON
- Full-time
Added 8 days ago
R
Senior Data Scientist
RBC
Toronto, ON
- Full-time
We are seeking a talented Data Scientist to join our team at RBC, where you will leverage data-driven insights to solve comple
Added 8 days ago
Senior Data Engineer
Ipsos
Vancouver, BC
…consecutive years, we operate in 90 markets, offer more than 75 data-driven solutions, and serve over 5,000 clients worldwide. Our research, methodological, implementation, and subject…
Added 8 days ago
EC
GCP Data Engineer
Experis Canada
Toronto, ON
- Contract
Design, build, and maintain scalable data pipelines on GCP, primarily using BigQuery.
Added 8 days ago
X
Staff Data Scientist - Decision Intelligence
Xanadu
Toronto, ON
- Full-time
Added 8 days ago
FE
Intern System Administrator
Future Electronics
Kirkland, QC
- Internship

Xanadu

Data Scientist - Experimental Physics

Toronto, ON, Canada

The base salary range is 100,000 - 140,000 CAD. · Full-time

Apply About employer

Applications open in a new tab.

Job details

Pay: The base salary range is 100,000 - 140,000 CAD.
Job type: Full-time
Posting language: English
Posted: Oct 21, 2026

Original job description

About Xanadu:
Xanadu’s mission is to build quantum computers that are useful and available to people everywhere.

At Xanadu, we are learners, innovators, researchers, collaborators and problem solvers. We are creating something that has never been built before. What we are doing is extremely hard, the classic moon shot. Few people in their life will be able to be a part of something like this, where if we are successful, the technologies we develop will solve some of the world’s most challenging problems, and literally change the world. And that is something to be excited about!

Your role and responsibilities:
The successful candidate will join the cross-functional Data Analysis team to develop statistical models and measurement strategies that guide photonic component design. Working with photonics designers and experimentalists, you will distinguish measurement uncertainty from fabrication variability and translate experimental data into actionable design decisions.
The ideal candidate is an impact-driven data scientist capable of abstracting complex hardware problems, isolating leading-order effects from secondary issues, and translating those priorities into statistical models. Working closely with photonics designers and experimentalists, you will define the next generation of ultra-low-loss component designs and measurement procedures, directly impacting design optimizations at Xanadu's 200mm and 300mm fabrication partners.

You will:

Develop statistical models to infer the characteristics of photonic devices from experimental datasets.
Partner with photonics designers to develop measurement methods and test structures that distinguish competing explanations, reveal systematic errors, and improve parameter-estimation precision.
Investigate reported uncertainties by finding and quantifying unknown systematics, building models to account for them, and devising methods to reduce errors.
Build and maintain robust Python-based code to analyze measured data.

Basic qualifications and experience:

MSc or PhD in physics, statistics, applied mathematics, engineering, or a related quantitative discipline.
At least two years of experience analyzing experimental or observational data to answer scientific or engineering questions (relevant graduate research counts toward this experience).
Demonstrated ability to formulate statistical models connecting physical processes and measurement systems to observed data, identify dominant effects, and evaluate model assumptions.
Strong applied knowledge of parameter estimation and uncertainty quantification, including identifying and modeling systematic effects, accounting for correlated errors, and propagating uncertainties into derived quantities.
Experience solving inverse problems and assessing the reliability of inferred parameters through model diagnostics, sensitivity analysis, and validation against simulations or independent measurements.
Experience designing or improving experiments, measurement procedures, or validation studies to distinguish competing explanations and reduce uncertainty.
Proficiency in Python for scientific computing and data analysis, with experience developing reproducible, maintainable analysis code using version control, documentation, and appropriate tests.
Ability to work with scientists and engineers across disciplines, translate open-ended hardware questions into tractable analyses, and communicate conclusions, limitations, and recommended next steps. Ability to prioritize work according to its expected impact on research and engineering decisions.

Preferred qualifications and experience:

Experience with hierarchical or multilevel models to distinguish sources of variation, such as measurement repeatability, device-to-device differences, and fabrication variability.
Experience with Bayesian inference and computational methods such as Markov chain Monte Carlo, including assessing convergence and validating inference results.
Experience with precision measurements, calibration, or metrology, including diagnosing systematic effects and using knowledge of the measurement apparatus to improve analysis.
Familiarity with photonic integrated circuits, optical component characterization, semiconductor fabrication, or quantum optics.
Experience turning research analyses into reusable software or automated workflows used by other scientists and engineers.

This is for a new position. Your base salary will be determined based on your location, experience, and internal benchmarks. The base salary range is 100,000 - 140,000 CAD. You will also be eligible for equity and benefits.

Our values are important. They are fundamental and lay the foundation for culture at Xanadu. Learn more about our values here.

We are an equal opportunity employer and encourage candidates of all backgrounds to apply. We are committed to building an inclusive, safe, and equitable culture and fostering an environment where our employees feel included, valued, and heard. We are committed to meeting the needs of all individuals and support a barrier-free workplace. Should you require accommodations at any point during the recruitment process please contact Recruiting at recruiting@xanadu.ai.
Please be advised that we may use artificial intelligence (AI) tools to assist in the screening and assessment of applicants for this position. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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More about this job

Responsibilities

Develop statistical models and measurement strategies to guide photonic component design by collaborating with designers and experimentalists. Investigate measurement uncertainties and translate experimental data into actionable design decisions for fabrication partners.

Requirements

Requires an MSc or PhD in physics, statistics, engineering, or a related quantitative field with at least two years of experience in experimental data analysis. Candidates must demonstrate proficiency in Python and strong knowledge of parameter estimation, uncertainty quantification, and statistical modeling.

Skills

Python
Statistical modeling
Parameter estimation
Uncertainty quantification
Data analysis
Experimental design
Photonic component design
Inverse problems
Bayesian inference
Metrology
Calibration
Sensitivity analysis
Version control
Scientific computing
Measurement strategy

Benefits

Equity
Health benefits

Visa sponsorship

Not detected in the job text

Keywords

Data Scientist
Experimental Physics
Quantum Computing
Photonics
Statistical Models
Python
Parameter Estimation
Uncertainty Quantification
Inverse Problems
Bayesian Inference
Metrology
Calibration
Photonic Integrated Circuits
Semiconductor Fabrication
Quantum Optics
Sensitivity Analysis
Measurement Systems
Data Analysis
Scientific Computing
Version Control
Experimental Design
Systematic Errors
Fabrication Variability
Multilevel Models
Markov Chain Monte Carlo
Automation
Research
Engineering
Design Optimization
Measurement Procedures

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