Job Description
- 3+ years of professional experience in Data Science
- Strong expertise in SAS (Base SAS, PROC SQL, SAS Macros, SAS/STAT, SAS/ETS, SAS Enterprise Guide)
- Strong Python experience for data science and modeling (Pandas, NumPy, Scikit-learn, Statsmodels, SciPy)
- Experience converting legacy SAS code to Python using Generative/Agentic AI tools
- Hands-on experience with AI coding assistants/LLM tools (Claude Code, GitHub Copilot, etc.)
- Strong understanding of statistical methods, business logic, and data transformations
- Experience with SQL and cloud/remote data platforms (AWS S3, SQL DBMS, etc.)
- Proficiency with Git and collaborative version control
- Experience performing code reviews, testing, and numerical validation of AI-generated code
- Ability to document conversion logic, statistical equivalencies, and deviations
- Experience identifying and escalating ambiguities in legacy code
- Strong collaboration skills working with data platform engineering teams
- Preferred experience in regulated industries (Pharma, Finance, Insurance, Government)
- Familiarity with UNIX environments
- Knowledge of credit risk models (PD, EAD, LGD) and IFRS9 requirements