SAS Model Developer (Model Development, Validation & Productionization)

SAS Model Developer (Model Development, Validation & Productionization)

Posted Today by GIOS Technology

£36 Per hour
Undetermined
Hybrid
London Area, United Kingdom

Summary: The SAS Model Developer role focuses on designing and developing statistical and predictive models using SAS, with responsibilities including model validation and productionization. The position requires collaboration with IT and Data Engineering teams to deploy production-ready models. The role is based in London and involves a hybrid working arrangement, requiring two days per week in the office. Candidates should possess strong skills in SAS programming and model execution.

Key Responsibilities:

  • Design and develop statistical, predictive, pricing, and risk models using SAS.
  • Build datasets, feature engineering pipelines, variable transformations, and segmentation logic.
  • Implement scoring algorithms, model logic, and scenario simulation using SAS.
  • Develop efficient SAS programs using Base SAS, Macros, Data Step, and PROC SQL.
  • Automate model execution, scoring pipelines, and performance monitoring workflows.
  • Perform model validation including back-testing, sensitivity analysis, and stress testing.
  • Conduct data analysis to generate insights, trends, and business recommendations.
  • Deploy production-ready SAS models in collaboration with IT/Data Engineering teams.

Key Skills:

  • SAS Macros
  • Predictive Modelling
  • Segmentation Models
  • Model execution
  • Performance monitoring

Salary (Rate): £36.00/hr

City: London

Country: United Kingdom

Working Arrangements: hybrid

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

I am hiring for SAS Model Developer (Model Development, Validation & Product ionization) Location: London - Hybrid / 2 days Per week in Office

Design and develop statistical, predictive, pricing, and risk models using SAS. Build datasets, feature engineering pipelines, variable transformations, and segmentation logic. Implement scoring algorithms, model logic, and scenario simulation using SAS. Develop efficient SAS programs using Base SAS, Macros, Data Step, and PROC SQL. Automate model execution, scoring pipelines, and performance monitoring workflows. Perform model validation including back-testing, sensitivity analysis, and stress testing. Conduct data analysis to generate insights, trends, and business recommendations. Deploy production-ready SAS models in collaboration with IT/Data Engineering teams.

Key Skills: SAS Macros / Predictive Modelling / Segmentation Models / Model execution / Performance monitoring