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Mindlance

Data Scientist

Toronto, ON, Canada

$70 to $75 CAD / hour · Contract

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Job details

Pay: $70 to $75 CAD / hour
Job type: Contract
Apply by: Dec 10, 2026
Posting language: English
Posted: Nov 10, 2026

Original job description

Senior Data Scientist – SAS to Python Migration

Location: Toronto, ON

Duration: 6 Months

Job Role: We are seeking a Senior Data Scientist to lead the migration of critical SAS applications to a modern Python ecosystem, supporting IFRS9, credit risk, reporting, and analytics. The role will focus on code conversion, parallel validation, data lineage, regulatory compliance, and knowledge transfer.

Key Responsibilities

Convert SAS code to Python, ensuring functional equivalence, accuracy, and maintainability.
Perform parallel SAS/Python testing to validate identical outputs and mitigate migration risks.
Apply data mining and statistical modeling techniques to IFRS9 and risk datasets.
Develop data dictionaries and end-to-end data lineage documentation.
Support regulatory, audit, and enterprise governance requirements.
Provide training and knowledge transfer to permanent teams.

Must-Have Skills

Advanced SAS and Python with proven SAS-to-Python migration experience.
Strong IFRS9 modeling and credit risk analytics knowledge.
Data profiling, validation, QA, parallel testing, and reconciliation.
Data lineage and data dictionary development.
Strong documentation, communication, and delivery skills.
Post-conversion support and maintenance experience.

"We use AI in our Hiring Process"

Mindlance is an equal opportunity employer. We are committed to inclusive, equitable, barrier-free recruitment and selection processes, and work environment in accordance with the Accessibility for Ontarians with Disabilities Act (AODA). We will be happy to work with applicants requesting accommodation at any stage of the hiring process.

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More about this job

Responsibilities

Lead the migration of critical SAS applications to Python, including code conversion and parallel testing to verify equivalent outputs and reduce risk. Apply statistical and data-mining methods to IFRS 9 and credit-risk datasets, document data lineage, support regulatory and governance needs, and transfer knowledge to permanent teams.

Requirements

Requires advanced SAS and Python skills with proven experience migrating SAS code to Python, along with strong IFRS 9 modeling and credit-risk analytics knowledge. Candidates should also have experience in data profiling, validation, quality assurance, parallel testing, reconciliation, lineage and data-dictionary documentation, and post-conversion support.

Skills

SAS
Python
SAS-to-Python Migration
IFRS 9 Modeling
Credit Risk Analytics
Data Mining
Statistical Modeling
Data Profiling
Data Validation
Quality Assurance
Parallel Testing
Reconciliation
Data Lineage
Data Dictionary Development
Regulatory Compliance
Documentation

Visa sponsorship

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Keywords

SAS
Python
SAS-to-Python Migration
IFRS 9
Credit Risk
Data Mining
Statistical Modeling
Code Conversion
Parallel Testing
Functional Equivalence
Data Profiling
Data Validation
Quality Assurance
Reconciliation
Data Lineage
Data Dictionary
Regulatory Compliance
Audit
Enterprise Governance
Risk Datasets
Reporting
Analytics
Knowledge Transfer
Post-Conversion Support
Application Maintenance

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Jobs in Canada