Jobs in Ontario (211,956 jobs)

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

211,956 listings · 21,251 employers Counted Nov 7, 2026. How we count

About these jobs

Employers hiring include Loblaw Companies Limited (5,385 listings), Shoppers Drug Mart (4,175 listings), Walmart Canada (3,531 listings).

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

34,331 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	18,335
CAD / year	80,000.00	14,630
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 20 hours ago
U
2027 Graduate Talent Program - Global Banking - Toronto
UBS
Toronto, ON
- $120,000 CAD / year
Added 20 hours ago
A
Vice President, Human Resources Outsourcing (HRO) Sales
ADP
Mississauga, ON
- Full-time
Added 20 hours ago
SD
Pharmacist, Hourly Part Time Flexible Shifts Greenlight Requisition
Shoppers Drug Mart
Mississauga, ON
- Part-time
Added 20 hours ago
W
(CAN) Customer Service Manager
Walmart
Smiths Falls, ON
- Part-time
Added 20 hours ago
W
Pharmacy Assistant
Walmart
ON
- Part-time
Added 20 hours ago
ES
Registered Pharmacy Technician - Express Scripts Canada
Express Scripts Canada
Mississauga, ON
- Full-time
Added 20 hours ago
BC
Project Associate (Permanent)
Babcock Canada Inc.
Ottawa, ON
- Full-time
Added 20 hours ago
SL
Professional Tutor, Nursing
St. Lawrence College
ON
- Full-time
Added 20 hours ago
U
Seasonal Driver Helper- Brantford
UPS
Brantford, ON
- Temporary
Added 20 hours ago
SL
Professional Tutor, Nursing
St. Lawrence College
ON
- Full-time
Added 20 hours ago
U
Seasonal Driver Helper- Brantford
UPS
Brantford, ON
- Temporary
Added 20 hours ago
U
Seasonal Driver Helper- Brantford
UPS
Brantford, ON
- Temporary
Added 20 hours ago
I-
Office Administrator
I8IS - Infiniti Software Solutions
Toronto, ON
- Full-time
Added 20 hours ago
NC
Driver – Part Time
NAPA Canada
Prescott, ON
- Part-time
Added 20 hours ago
DL
Setup Operator (Die Change/Press Operator)
DBG Limited
Mississauga, ON
- $22 to $25 CAD / hour
- Full-time
Added 20 hours ago
LC
Produce Clerk Full Time Day Greenlight Requisition
Loblaw Companies Limited
Whitby, ON
- Full-time
Added 20 hours ago
LC
Social Media Content Manager (12-Month Contract)
Loblaw Companies Limited
Toronto, ON
- Full-time
Added 20 hours ago
BP
Manufacturing Operator L1
Bora Pharmaceuticals
Mississauga, ON
- Full-time
Added 20 hours ago
BP
Operational Technician
Bora Pharmaceuticals
Mississauga, ON
- Full-time
Added 20 hours ago
TT
Retail Sales Associate-Winners/Homesense Georgetown
The TJX Companies, Inc.
Georgetown, ON
- Part-time
Added 20 hours ago
B
Lead Developer - (Java / AWS / Payment Systems)
BMO
Toronto, ON
- Full-time
Added 20 hours ago
SH
Registered Nurse - Emergency Department
Southlake Health Community
Newmarket, ON
- Full-time
Added 20 hours ago
SH
Registered Nurse - Emergency Department
Southlake Health Community
Newmarket, ON
- Full-time
Added 20 hours ago
SH
Registered Nurse - Clinical Resource Team (CRT)
Southlake Health Community
Newmarket, ON
- Full-time
Added 20 hours ago
SH
Registered Nurse - Emergency Department
Southlake Health Community
Newmarket, ON
- Full-time

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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