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.