Jobs in Ontario (216,348 jobs)

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

216,348 listings · 21,445 employers Counted Nov 9, 2026. How we count

About these jobs

Employers hiring include Loblaw Companies Limited (5,500 listings), Shoppers Drug Mart (4,282 listings), Walmart Canada (3,597 listings).

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

34,952 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	18,680
CAD / year	80,000.00	14,900
USD / year	155,000.00	86
CAD / month	4,054.00	68
CAD / week	1,500.00	48
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 6 hours ago
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Kingston, ON
- Full-time
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H
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Hamilton, ON
- Full-time
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D
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Added 6 hours ago
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ON

Infotek Consulting Inc.

Data Scientist, SAS-to-Python Migration

Toronto, ON, Canada

$80 to $95 CAD / hour · Contract

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Applications open in a new tab.

Job details

Pay: $80 to $95 CAD / hour
Job type: Contract
Apply by: Dec 9, 2026
Experience: 10+ years of experience in SAS migration and data migration, with preference for candidates from financial institutions.
Posting language: English
Posted: Nov 9, 2026

Original job description

Actual Job Title: Data Scientist, SAS-to-Python Migration (Expert)

Duration: 8 months (Extension possible)

Location: Toronto (4 days onsite)

Rate: $80-95/h (INC)

Department: Group Risk Management

Department Description

Working across 2 teams alongside 10 members in total.
Reports directly to the Hiring Manager.

Daily Responsibilities

Code Conversion: Translate existing SAS scripts into Python for critical deliverables including IFRS9 Model, Risk Campaigns, and Reporting and Analytics. Ensure logic accuracy and functional equivalence, optimizing code for performance and maintainability in the Python environment.
Parallel Validation: Execute simultaneous runs of legacy SAS and new Python processes to verify identical outputs and mitigate transition risks.
Data Mining & Statistical Modeling: Leverage advanced data mining techniques and statistical modeling methodologies to extract, analyze, and validate complex datasets within the IFRS9 and Risk Management domains.
Data Lineage & Compliance: Create a comprehensive data dictionary and establish end-to-end data lineage, documenting data origin, transformation, and movement throughout its lifecycle to support regulatory compliance and auditability.
Training and Knowledge Transfer: Conduct structured training sessions with permanent staff to ensure seamless sustainment.

Project Name and Description

Project Name: CREATE
Leading the strategic migration of legacy SAS applications to a modern Python-based ecosystem.

Essential Program/Technology/Software Knowledge

Python
SAS applications

Must-Have Skills, Experience, Education and Qualifications

10+ years of experience in SAS migration and data migration, with preference for candidates from financial institutions.
Advanced SAS and Python expertise, with proven SAS-to-Python migration experience.
Proficiency in data profiling, validation, and quality assurance.
Data lineage mapping and data dictionary development expertise.
Strong understanding of IFRS9 modeling and credit risk analytics.
Parallel testing and validation capabilities.

Nice-to-Have Skills, Experience and Qualifications

Bachelor’s Degree.
Master’s degree or equivalent in statistical background (strongly preferred).
Financial institution background is preferred.

Soft Skills

Excellent technical documentation and communication abilities.
Proven ability to work with teams and deliver on time.
Post-conversion support and maintenance capability.

Success Measures

Successfully converting code within established timelines.
Effectively handling cross-training programs so team members can perform efficiently.

Note: We use AI tools to: obtain basic information, detect plagiarism, false employment history or references, categorize your skills, and do an initial match with job posting.

Apply About employer

More about this job

Responsibilities

Convert legacy SAS applications to Python for IFRS 9 modeling, risk campaigns, and reporting, ensuring equivalent results through parallel testing and validation. Document data lineage and dictionaries, analyze complex risk datasets, and train permanent staff to support the migrated systems.

Requirements

Requires 10 or more years of SAS and data migration experience, advanced SAS and Python expertise, and demonstrated experience converting SAS code to Python. Candidates should also have skills in data profiling and validation, data lineage, parallel testing, and IFRS 9 or credit risk analytics; a bachelor’s degree is preferred, with a postgraduate degree or equivalent statistical background strongly preferred.

Skills

SAS
Python
SAS-To-Python Migration
Data Migration
Data Profiling
Data Validation
Quality Assurance
Data Lineage
Data Dictionary Development
IFRS 9 Modeling
Credit Risk Analytics
Statistical Modeling
Data Mining
Parallel Testing
Technical Documentation
Training And Knowledge Transfer

Visa sponsorship

Not detected in the job text

Keywords

SAS
Python
SAS-To-Python Migration
Data Migration
IFRS 9
Credit Risk Analytics
Group Risk Management
Data Mining
Statistical Modeling
Data Profiling
Data Validation
Quality Assurance
Parallel Testing
Data Lineage
Data Dictionary
Regulatory Compliance
Auditability
Risk Campaigns
Reporting And Analytics
Code Conversion
Performance Optimization
Code Maintainability
Training
Knowledge Transfer
Financial Institutions
CREATE

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