Jobs in Ontario (211,755 jobs)

Jobs across Ontario, Canada. Choose a city or town to search nearby.

211,755 listings · 21,244 employers Counted Nov 7, 2026. How we count

About these jobs

Employers hiring include Loblaw Companies Limited (5,367 listings), Shoppers Drug Mart (4,154 listings), Walmart Canada (3,518 listings).

Common roles: Retail sales associate, Practical nurse, Registered nurse.

34,317 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	23.00	18,327
CAD / year	80,000.00	14,624
USD / year	155,000.00	86
CAD / month	4,054.00	68
CAD / week	1,500.00	46
CAD / day	101.00	23
USD / hour	20.00	13

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: 0% remote, 17% 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

Jobs in Ontario

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Added 12 hours ago
CC
Masters Prepared Therapist
Cornwall Community Hospital
Cornwall, ON
- Full-time
Added 12 hours ago
MU
Manager, Stewardship & Gift Documentation
McMaster University
Hamilton, ON
- Full-time
Added 12 hours ago
PB
Lead DZ Driver
Primo Brands
Mississauga, ON
- Full-time
Added 12 hours ago
GH
Director of Sales and Marketing
Gottardo Hotels and Resorts
Aurora, ON
- Full-time
Added 12 hours ago
AT
Commission-Based Marketing Specialist
Axieo Technologies Inc
Toronto, ON
- Full-time
Added 12 hours ago
FA
After Hours Worker
Family and Children's Services Niagara
St. Catharines, ON
- $17.6 to $28.87 CAD / hour
- Part-time
Added 12 hours ago
CC
Accounting Clerk
Cornwall Community Hospital
Cornwall, ON
- Part-time
Added 12 hours ago
DL
Tool & Die Maker - Automotive
DBG Limited
Mississauga, ON
- $30 to $35 CAD / hour
- Contract
Added 12 hours ago
RA
Senior Legal Advisor - Expert Witness Services
Ridge and Partners LLP
London, ON
- Part-time
Added 12 hours ago
D
Specialist, Resource Management
Deloitte
Toronto, ON
- Full-time
Added 12 hours ago
I-
Pre-Press Operator
I8IS - Infiniti Software Solutions
Toronto, ON
- Full-time
Added 12 hours ago
CC
Medical Radiation Technologist (MRI)
Cornwall Community Hospital
Cornwall, ON
- Full-time
Added 12 hours ago
CC
Manager of Pharmacy
Cornwall Community Hospital
Cornwall, ON
- Full-time
Added 12 hours ago
FT
Executive Director
Factory Theatre
Toronto, ON
- $90,000 CAD / year
- Full-time
Added 12 hours ago
CC
Accounting Clerk
Cornwall Community Hospital
Cornwall, ON
- Full-time
Added 12 hours ago
Territory Manager
Vestis Uniforms and Workplace Supplies | Canadian Linen & Uniform Service | Québec Linge Service D’Uniformes
London, ON
Added 12 hours ago
SD
Assistant Front Store Manager, Hourly Part Time Day
Shoppers Drug Mart
Toronto, ON
- Part-time
Added 12 hours ago
SD
Assistant Front Store Manager, Hourly Full Time Flexible Shifts
Shoppers Drug Mart
Toronto, ON
- Full-time
Added 12 hours ago
W
(CAN) Health and Beauty Team Associate
Walmart
North Bay, ON
- Part-time
Added 13 hours ago
DM
Temporary Seasonal Open Pit Labourer
Discovery Mining Ltd
South Porcupine, ON
- Temporary
Added 13 hours ago
ES
truck and coach technician
Emcon Services Inc.
Kitchener, ON
- Full-time
Added 13 hours ago
SM
RQ11676 – Software Developer – ETL – Intermediate
S M Software Solutions Inc
Toronto, ON
- Internship
Added 13 hours ago
SM
RQ00244 – Data Science Developer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Added 13 hours ago
SM
RQ11858 – Oracle Cloud Integration Specialist – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Added 13 hours ago
SM
RQ11857 – Systems Administrator/Operations Support Specialist – Senior
S M Software Solutions Inc
Toronto, ON
- Internship

Flexstaf I.T. Inc.

Senior Data Science Developer

Toronto, ON, Canada
Greater Toronto Area, Canada, Canada

Contract

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Applications open in a new tab.

Job details

Job type: Contract
Apply by: Dec 4, 2026
Posting language: English
Posted: Nov 4, 2026

Original job description

Position: Senior Data Science Developer

Requisition Number: RQ00242

Type: Contract

Duration: 6 months

Location: Toronto

Work Schedule: Hybrid

Work Model: 3 days onsite / 2 days remote

MANDATORY SKILLS

Deep expertise in statistics, probability, predictive modelling and machine learning, including classification, regression, clustering, feature engineering, experimentation, model selection, validation, bias/variance, overfitting and statistical inference.
Advanced hands-on proficiency in Python, SQL and ML frameworks, with demonstrated experience building, tuning and validating models using real-world datasets. Tech stack: Python, SQL, Power BI, VSCode, Git, Jira, Azure (OpenAI, Foundry and ML Studio), Databricks.
Strong hands-on experience with Azure Machine Learning and Microsoft Foundry/Azure AI Foundry, including end-to-end ML pipelines covering experimentation, training, evaluation and operationalization.

Public Sector Experience: preferred

SENIOR DATA ANALYTICAL SPECIALIST/SCIENTIST DESCRIPTION

The Senior Data Analytical Specialist/Scientist will develop advanced analytics, predictive models, and AI-driven insights to address priority business opportunities. The role will apply statistical, machine learning, and analytical techniques to enterprise data, while supporting data maturity assessments, model validation, business-value analysis, and the identification of high-value AI and analytics opportunities.

KEY RESPONSIBILITIES

Design and develop advanced analytics, predictive models, and machine learning solutions for priority business use cases.
Conduct exploratory data analysis to identify patterns, trends, relationships, and opportunities for improved decision-making.
Translate business problems into appropriate analytical and modelling approaches, defining hypotheses, methodologies, and success measures.
Assess the quality, availability, and readiness of data required for AI and advanced analytics use cases.
Support enterprise data maturity and analytics capability assessments and identify opportunities for improvement.
Validate model performance using appropriate statistical and machine learning techniques and communicate model assumptions, limitations, and results.
Partner with business stakeholders to identify high-value AI and analytics opportunities and assess potential business value and feasibility.
Develop prototypes and proofs of concept to test analytical approaches before broader implementation.
Work closely with Data Engineers, Data Architects, Product Managers, and technology teams to operationalize successful models and analytical solutions.
Define and monitor analytical KPIs and support evaluation of whether delivered solutions achieve intended business outcomes.
Communicate complex analytical findings and recommendations in clear, actionable terms for both technical and executive audiences.
Apply appropriate Responsible AI, privacy, data governance, and model risk considerations throughout the analytics lifecycle.

QUALIFICATIONS & EXPERIENCE

Degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Engineering, or a related quantitative field, or equivalent experience.
Significant experience in data science, advanced analytics, predictive modelling, machine learning, or statistical analysis.
Strong proficiency in Python, SQL, statistical analysis, and machine learning techniques.
Experience developing and validating predictive and machine learning models using real-world enterprise data.
Knowledge of model evaluation, experimentation, feature engineering, data quality, and analytical methodology.
Experience working with modern cloud-based data and analytics environments.
Understanding of Generative AI and emerging AI techniques would be an asset.
Strong business acumen with the ability to connect analytical findings to measurable business outcomes.
Strong communication, problem-solving, and stakeholder-management skills.

REQUIRED

Deep expertise in statistics, probability, predictive modelling and machine learning
Advanced hands-on proficiency in Python, SQL and ML frameworks
Strong hands-on experience with Azure Machine Learning and Microsoft Foundry/Azure AI Foundry
Degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Engineering, or a related quantitative field
Significant experience in data science, advanced analytics, predictive modelling, machine learning, or statistical analysis
Strong proficiency in Python, SQL

PREFERRED

Public Sector Experience
Understanding of Generative AI and emerging AI techniques

Apply About employer

More about this job

Responsibilities

Develop advanced analytics, predictive models, and machine learning solutions, including prototypes and proofs of concept, to address business priorities. Assess data readiness, validate models, identify valuable AI opportunities, operationalize successful solutions with cross-functional teams, and communicate findings and outcomes to stakeholders.

Requirements

Requires a quantitative degree or equivalent experience, significant experience in data science or advanced analytics, and strong expertise in statistics, predictive modeling, Python, SQL, and machine learning. Hands-on experience with Azure Machine Learning and Microsoft Foundry/Azure AI Foundry is required; public sector experience and knowledge of generative AI are preferred.

Skills

Statistics
Probability
Predictive Modeling
Machine Learning
Python
SQL
Azure Machine Learning
Microsoft Foundry
Statistical Analysis
Feature Engineering
Model Validation
Data Quality Assessment
Responsible AI
Data Governance
Stakeholder Management
Business Value Analysis

Visa sponsorship

Not detected in the job text

Keywords

Python
SQL
Power BI
VSCode
Git
Jira
Azure
Azure OpenAI
Microsoft Foundry
Azure AI Foundry
Azure Machine Learning
Azure ML Studio
Databricks
Machine Learning
Predictive Modeling
Statistical Inference
Classification
Regression
Clustering
Feature Engineering
Experimentation
Model Selection
Model Validation
Exploratory Data Analysis
Data Quality
Responsible AI
Data Governance
Model Risk
Generative AI
Analytics KPIs

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