Jobs in Toronto, ON and nearby

Jobs within 25 km of Toronto, ON, Canada. Nearby towns and cities are included. Distances are straight-line, not driving distances.

91,448 listings · 10,713 employers Counted Nov 5, 2026. How we count

About these jobs

Employers hiring include Shoppers Drug Mart (1,471 listings), Loblaw Companies Limited (1,278 listings), S M Software Solutions Inc (963 listings).

Common roles: Software engineer, Project manager, Retail sales associate.

14,969 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 / year	85,000.00	8,745
CAD / hour	26.00	5,712
USD / year	155,000.00	75
CAD / month	6,000.00	34
CAD / week	2,868.82	28
CAD / day	140.00	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, 29% hybrid, 71% 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 Toronto, ON and nearby

Within 25 km

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Added 2 hours ago
TM
Assistant Manager, Innovation & Brand Experience
The Magnum Ice Cream Company
Toronto, ON
- Full-time
Added 2 hours ago
C
Service Delivery Manager
Compucom
Toronto, ON
- $80,000 to $100,312 CAD / year
- Full-time
Added 2 hours ago
MC
Change Management Consultant (36142)
Myticas Consulting
Toronto, ON
- Contract
Added 2 hours ago
MC
Cloud Platform Engineer – Kubernetes (36051)
Myticas Consulting
Toronto, ON
- Contract
Added 2 hours ago
CG
Director of Strategic Partnerships
CDC Global Solutions
Toronto, ON
- $180,000 to $210,000 CAD / year
- Full-time
Added 2 hours ago
GT
Lead Data Engineer / Data Product Lead – Snowflake
Global Technical Talent, an Inc. 5000 Company
Toronto, ON
- $60 to $80 CAD / hour
- Contract
Added 2 hours ago
CC
Specialist, Demand Planning
Coca-Cola Canada Bottling Limited
Toronto, ON
- Full-time
Added 2 hours ago
AW
Application Development Manager
Agilus Work Solutions
Mississauga, ON
- $140,000 to $155,000 CAD / year
- Full-time
Added 2 hours ago
WC
(CAN) Overnight Associate
Walmart Canada
Vaughan, ON
- Full-time
Added 2 hours ago
Recreation Programmer, Fitness
City of Mississauga
Mississauga, ON
Added 2 hours ago
A
Sales Coordinator
Apotex
Toronto, ON
- $63,482 to $105,804 CAD / year
Added 2 hours ago
EI
Production Associate, Contract (Day Shift)
Ecolab Inc.
Mississauga, ON
- Full-time
Added 2 hours ago
'
Forward Deployment Engineer Lead - Manufacturing
''
Toronto, ON
- Full-time
- Other
Added 2 hours ago
R
Pricing Manager
REXEL
Toronto, ON
- $90,000 CAD / year
- Full-time
Added 2 hours ago
OL
Parttime French Tutor
Oxford Learning Stoney Creek
Toronto, ON
- Part-time
Added 2 hours ago
NY
Cook, Senior's Health Center, U (J1026-0727)
North York General Hospital
Toronto, ON
- Temporary
Added 2 hours ago
NY
Analytics Consultant, Decision Support, Business Intelligence - FT (J1126-0067)
North York General Hospital
Toronto, ON
- Full-time
Added 2 hours ago
CC
RQ11817 - Telecommunications Project Manager/Leader
CCI- Computer Consultants International, Inc.
Toronto, ON
- Full-time
Added 2 hours ago
CC
RQ11599 - Technology Architect (Oracle, with IBM TRIRIGA, WebSphere)
CCI- Computer Consultants International, Inc.
Toronto, ON
- Full-time
Added 2 hours ago
AW
Senior Java Software Engineer
Agilus Work Solutions
Toronto, ON
- $100,000 to $120,000 CAD / year
- Full-time
Added 2 hours ago
W
(CAN) Front End Checkout Team Associate
Walmart
Mississauga, ON
- Part-time
Added 2 hours ago
T
Customer Experience Associate-1
TD
Mississauga, ON
- Part-time
Added 2 hours ago
SL
Corporate Branch Manager
Sun Life
Toronto, ON
- Full-time
Added 2 hours ago
C
HR Operations Partner
Corpay
Toronto, ON
- Full-time
Added 2 hours ago
C
Manager, Financial Planning & Analysis
Corpay
Toronto, ON
- Full-time

Flexstaf I.T. Inc.

Senior Data Science Developer

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

Contract

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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

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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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