Data Scientist, SAS-to-Python Migration

Toronto, ON
On-site
Posted Nov 10, 2026
1 position

$65–$82 / hour

Opens an external site

Employment type: Contract
Experience level: 5+ years
Minimum education: Bachelor’s degree
Posting language: English

Job summary

Convert SAS scripts to Python for IFRS 9 modeling, risk campaigns, and reporting, ensuring equivalent outputs and improving performance and maintainability. Validate the conversion through parallel testing, document data lineage and dictionaries for compliance, and train permanent staff for ongoing support.

Job details

An Initial AI Screening will be conducted for this role. Please Click Here to complete your AI screening while submitting your application. Duration: 6 months 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 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. Must-Have Skills: 5 – 9 years of experience in SAS migration, 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: 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 Education: Bachelor’s Degree Master’s degree or equivalent in statistical background (strongly preferred) FP Inc. is committed to creating an inclusive environment where all team members and clients feel like they belong. In accordance with the requirements set out in the Employment Standards Act, FP Inc. hereby declares that AI is utilized in the screening process for this position. The hourly compensation range for this role is C$65 – C$82. We seek applicants with a wide range of abilities, and we provide an accessible candidate experience. We advocate for you and welcome anyone regardless of race, colour, religion, national origin, sex, physical or mental disability, or age.

What you’ll do

Requirements

Candidates need 5–9 years of SAS or data migration experience, advanced SAS and Python expertise, and demonstrated SAS-to-Python migration experience. They should also have skills in data profiling and validation, lineage and data dictionary development, IFRS 9 and credit risk analytics, parallel testing, and strong documentation and communication; a bachelor’s degree is listed, with a master’s degree or equivalent statistical background strongly preferred.