Data Scientist – SAS-to-Python Migration

Data Scientist – SAS-to-Python Migration (Contract)

Location: Downtown Toronto, ON

Work Arrangement: Hybrid – 4 days onsite, 1 day remote

Industry: Banking / Financial Services

We are currently seeking an experienced Data Scientist / Senior Consultant to support a strategic SAS-to-Python migration initiative with a leading Canadian bank.

The successful candidate will be responsible for migrating legacy SAS applications to Python, with a focus on IFRS9 models, credit risk analytics, data validation, and regulatory compliance.

Key Responsibilities:

• Convert existing SAS scripts and financial risk models into Python, ensuring accuracy and functional equivalence.
• Conduct parallel testing and validation to ensure consistent outputs between SAS and Python.
• Perform data profiling, statistical analysis, and quality assurance.
• Develop and maintain data dictionaries and end-to-end data lineage documentation.
• Support regulatory compliance, audit requirements, and knowledge transfer activities.

Required Qualifications:

• 5–9 years of relevant experience in SAS migration, data migration, or related technical roles.
• Advanced proficiency in SAS and Python, with proven hands-on SAS-to-Python migration experience.
• Strong understanding of IFRS9 modeling and credit risk analytics.
• Experience with parallel testing, data reconciliation, and validation.
• Proficiency in data profiling, data quality assurance, and data lineage mapping.
• Strong technical documentation, analytical, and communication skills.

Preferred Qualifications:

• Previous experience within banking or financial services.
• Master's degree in Statistics or a related quantitative discipline.
• Experience supporting regulatory or audit-driven financial modeling initiatives.

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.