Full-time jobs in Canada (383,912 jobs)

Explore full-time jobs across Canada. Choose a location and read the full job details.

383,912 listings · 47,486 employers Counted Nov 10, 2026. How we count

About these jobs

Employers hiring include Walmart Canada (9,106 listings), Health Match BC (4,035 listings), Walmart (2,937 listings).

Common roles: Project manager, Sales representative, Cook.

67,219 of these listings include employer-provided pay. Open a job to see its currency and pay period.

Advertised starting pay
Pay period	Median starting pay	Listings
CAD / hour	24.00	39,188
CAD / year	80,000.00	25,688
CAD / month	5,347.31	700
USD / year	127,000.00	227
CAD / week	1,530.00	77
CAD / day	360.00	44
USD / hour	22.00	28
GBP / year	40,000.00	13
EUR / year	68,000.00	11
USD / month	4,000.00	11

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.

Workplace classifications: 1% remote, 16% hybrid, 82% on-site, 0% not specified. Hybrid and on-site classifications may be inferred from descriptions. Check the original ad.

Based on the dated count above. Listings can change. How we count

Full-time jobs in Canada

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Added 1 hour ago
AV
Junior Financial Analyst
Atlas Van Lines (Canada) Ltd.
Oakville, ON
- Full-time
Hybrid work 3 days in office/2 days remote possible
Added 1 hour ago
FB
Accountant
Farm Boy Inc.
Mississauga, ON
- $55,000 CAD / year
- Full-time
Added 1 hour ago
EC
Therapeutic Assistant (7) - Occupational Therapy
Edmonton Catholic Schools
AB · Greater Edmonton Metropolitan Area
- Full-time
Added 1 hour ago
J-
Receptionist
JLD - Laguë (John Deere dealer)
Ottawa, ON
- Full-time
Added 1 hour ago
CM
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Christy Media Solutions
Montreal, QC
- $70,000 to $80,000 CAD / year
- Full-time
Ability to work on-site in Montreal five days per week
Added 1 hour ago
CI
Inside Global Trade and Logistics Specialist (Bilingual)
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Montreal, QC
- Full-time
From customs brokerage to freight forwarding, our solutions ensure that our clients’ shipments move seamlessly across borders
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VG
Assistant Golf Course Superintendent
Vancouver Golf Club
Coquitlam, BC
- Full-time
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EC
Braillist (7)
Edmonton Catholic Schools
AB · Greater Edmonton Metropolitan Area
- Full-time
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EC
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Edmonton Catholic Schools
AB · Greater Edmonton Metropolitan Area
- Full-time
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SB
Manager, Channel Operations & Planning
Stanley Black & Decker, Inc.
Mississauga, ON
- Full-time
Added 1 hour ago
Bilingual Specialist, Employee Relations
CMHC - SCHL
Toronto, ON · Ottawa, ON · Montreal, QC · Vancouver, BC · Halifax, NS · Calgary, AB
Added 1 hour ago
PH
RN Hemodialysis
Providence Healthcare
Vancouver, BC
- Full-time
Added 1 hour ago
SI
Intern, Transport and Fleet
Saputo Inc.
Montreal, QC
- Full-time
Added 1 hour ago
RS
DZ Driver with Tail Gate Experience
Ryder Supply Chain Solutions
Concord, ON
- Full-time
Must have a minimum of 9 months verifiable commercial driving experience, required · As part of our commitment to compliance with employment and immigration laws, all applicants must have valid legal authorization to work in Canada
Added 1 hour ago
RS
Logistics Manager
Ryder Supply Chain Solutions
St. Catharines, ON · CAN - St Catharines ON Glendale Ave
- Full-time
As part of our commitment to compliance with employment and immigration laws, all applicants must have valid legal authorization to work in Canada
Added 1 hour ago
RS
AZ Flat Bed Driver - Home Daily
Ryder Supply Chain Solutions
Concord, ON
- Full-time
Must have a minimum of 9 months verifiable commercial driving experience, required · As part of our commitment to compliance with employment and immigration laws, all applicants must have valid legal authorization to work in Canada
Added 1 hour ago
Senior Manager Operations
Leonardo DRS, Inc.
NS · Bedford, Nova
Added 1 hour ago
SA
Automotive Parts Advisor
Steele Auto Group
Halifax, NS
- Full-time
Added 1 hour ago
SE
Warehouse Technician
SMS Equipment Inc.
Fort Frances, ON
- Full-time
Added 1 hour ago
YO
Case Manager - Supportive Housing Program
YMCA of the National Capital Region
Ottawa, ON
- Full-time
Applicants must have a current Standard First Aid and CPR “C” certification
Added 1 hour ago
YO
Full-Time Bilingual Housing Case Manager
YMCA of the National Capital Region
Ottawa, ON
- Full-time
Added 1 hour ago
Full-Time Housing Support Worker (Overnight/Evening Shifts)
YMCA of the National Capital Region
Ottawa, ON
Applicants must have a current Standard First Aid and CPR “C” certification
Added 1 hour ago
M
Program manager - Data management (Space)
MDA
Sainte-Anne-de-Bellevue, QC
- Full-time
Added 1 hour ago
HP
Operations Analyst
Hammond Power Solutions
Guelph, ON
- Full-time
Added 1 hour ago
H
Test Laboratory Engineer
Héroux-Devtek
QC · Saint-Hubert, QC
- Full-time

Ontario Securities Commission

Data Scientist

Toronto, ON, Canada
CA ON Toronto, Canada

Full-time

Apply on osc.wd3.myworkdayjobs.com About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Nov 24, 2026
Experience: · 3+ years of relevant experience in data science, AI, engineering or quantitative analysis roles.
Posting language: English
Posted: Nov 10, 2026

Original job description

Business UnitRegular, Full timeClosing Date: November 24, 2026

The Ontario Securities Commission (OSC) is the statutory body responsible for regulating Ontario’s capital markets in accordance with the mandate established in the provincial Securities Act and the Commodity Futures Act. The mandate of the OSC is to provide protection to investors from unfair, improper or fraudulent practices, to foster fair, efficient and competitive capital markets and confidence in the capital markets, to foster capital formation, and to contribute to the stability of the financial system and the reduction of systemic risk. This mandate is performed through policy, operational, and enforcement activities. The OSC also contributes to national and global securities regulation development.

We offer a diverse, fair, and flexible work environment and take pride in our challenging and rewarding work.

The Enforcement Division supports the OSC in delivering fair, vigorous and timely enforcement. Enforcement investigates and litigates breaches of securities laws in Ontario. The division works closely with other securities regulators, self-regulatory organizations, and law-enforcement agencies to enhance initiatives to fight misconduct. The division is currently hiring for the position of a Data Scientist to be a part of the eDiscovery & Analytics Team.

This unique position will support the division's case assessment, investigation, and litigation teams through the creation and implementation of custom data science solutions. The role requires strong expertise in designing and implementing data science solutions, as well as a solid understanding of capital markets data.

What's in it for you?

· Opportunity to support enforcement actions and assist with high profile and complex matters,

· Be part of a dynamic work environment with a collaborative, progressive, and professionally diverse team and,

· Make a difference and have a meaningful impact on investors and participants in Ontario's capital markets.

What will you do?
As part of the Data Science team, you will:

Data Science and Solution Development

· Gather requirements, then design, test and deliver data analysis and automation solutions to meet the division's needs.

· Document methodology, code and results so analyses are reproducible and can be explained and defended in litigation.

· Write code in Python to clean, transform and analyze large structured and unstructured data sets.

· Build on the team's shared code base and tools, and participate in code review and quality assurance.

· Develop and maintain software tools that improve the capabilities and efficiency of Enforcement.

· Read and dissect research papers to understand key points and tailor analysis to suit.

· Apply large language models, within approved use cases, to assist Enforcement teams in reviewing and extracting information from large volumes of documents, including prompt engineering and scalable batch processing.

· Research the use of generative AI for enhancing information detection and extraction, information restoration, and its potential misuse by others.

· Provide concise monthly reporting on assigned products, solutions and case work, explaining technical work in plain language.

· Build training modules and educate Enforcement team members on newly developed processes.

Case Assessment, Investigations, & Litigation Support

· Analyze financial market trading data to identify potentially manipulative or deceptive trading and insider trading.

· Develop custom algorithms at the request of Enforcement teams.

· Perform investigative analysis throughout the case lifecycle, identifying critical patterns and entity relationships, and present findings to Enforcement teams.

· Validate source data for completeness and integrity before analysis and work with case teams to resolve gaps.

· Support case prosecution and legal actions by preparing and presenting analyses, interpretations and reports.

What do you need to be successful in this role?

· Undergraduate degree in Mathematics, Applied Mathematics, Computer Science, Computer Engineering, Statistics, or a related discipline in STEM (Science, Technology, Engineering, and Mathematics).

· 3+ years of relevant experience in data science, AI, engineering or quantitative analysis roles.

· Hands-on experience with LLM inference and optimization, including designing efficient inference pipelines, implementing batching strategies, and applying CUDA-based performance optimizations. Experience writing and optimizing custom CUDA kernels is a plus.

· Advanced proficiency in Python, including familiarity with data science and AI libraries such as PyTorch and Transformers.

· Working knowledge or solid understanding of the following:

o manipulating, transforming, and analyzing complex, high-volume, high-dimensionality data from diverse sources and formats

o natural language processing and large language models for document analysis

o outlier detection modeling, regression analytics and other predictive modeling

o computer software design and database administration, including complex database querying

· Academic research experience with the ability to comprehend and apply research papers and publications.

· Strong analytical skills with the ability to analyze large datasets including creating frameworks used by Enforcement teams to visualize data, patterns, and statistical relationships.

· Excellent problem solving and strategic thinking skills.

· Clear and concise verbal and written communication skills.

· Strong work ethic and organizational skills to meet aggressive deadlines in a fast-paced environment.

· Internally motivated, dynamic, able to work proficiently both independently and in a team environment.

Grow your career and make a difference working at the OSC.

OSC Employees: please apply in Workday using the Browse Jobs feature within your Jobs Hub *

We thank all applicants for their interest in the Ontario Securities Commission. We will contact those selected for an interview.

The OSC is committed to diversity and providing an inclusive workplace and providing accommodation in accordance with the Accessibility for Ontarians with Disabilities Act and the Human Rights Code. It is our priority to ensure employment opportunities are visible and barrier-free to all under-represented groups including but not limited to, Indigenous, Black and racialized groups, people with disabilities, women and people from the 2SLGBTQI+ community, to achieve an employee demographic profile reflective of the demographic profile of Ontarians.

The OSC is a proud partner with the following organizations: Ascend Canada, BlackNorth Initiative, Canadian Centre for Diversity and Inclusion, and Pride at Work Canada

If you require an accommodation during the recruitment process, please let us know by contacting our confidential inbox HRRecruitment@osc.gov.on.ca.

Visit Accessibility at the OSC to review the OSC’s policies on accessibility and accommodation in the workplace.

Apply on osc.wd3.myworkdayjobs.com About employer

More about this job

Responsibilities

The Data Scientist will design and implement custom data science solutions to support the Enforcement Division's case assessment, investigation, and litigation teams. Responsibilities include analyzing financial market data, developing algorithms, and utilizing large language models to extract information from complex datasets.

Requirements

Candidates must hold an undergraduate degree in a STEM discipline and possess at least 3 years of relevant experience in data science or quantitative analysis. Strong proficiency in Python, experience with LLM inference, and the ability to analyze high-volume financial data are essential for this role.

Skills

Python
Data science
Artificial intelligence
Large language models
CUDA
PyTorch
Transformers
Natural language processing
Predictive modeling
Regression analytics
Database administration
Data analysis
Automation
Financial market analysis
Algorithm development
Statistical analysis

Benefits

Diverse work environment
Flexible work environment

Visa sponsorship

Not detected in the job text

Keywords

Data Scientist
Python
Large Language Models
LLM
CUDA
PyTorch
Transformers
Data Analysis
Automation
Financial Markets
Insider Trading
Predictive Modeling
Regression
Natural Language Processing
Database Administration
STEM
Enforcement
Litigation Support
Algorithms
Generative AI
Prompt Engineering
Scalable Batch Processing
Capital Markets
Securities Law
Quantitative Analysis
Data Visualization
Pattern Recognition
Entity Relationships
Research
Quality Assurance

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Work requirements

Full-time jobs in Canada