Senior SAS Modelling Architect – Remote

Stealth IT Consulting; Liverpool; Remote; GBP 72,000 - 94,000; Full time

Benefits offered by this job

Fully remote work

Occasional visits to Liverpool

Job summary

Stealth IT Consulting seeks an experienced SAS Model Developer to support design, development, validation, and deployment of statistical models. This hands-on SAS role emphasizes predictive modelling, data pipelines, and production deployment.

Key responsibilities include building datasets, writing SAS code, validation, and governance support for a high-profile programme. Remote with occasional visits to Liverpool; 6-month contract.

Qualifications

• 5+ years of commercial SAS programming experience.
• Strong hands-on experience with Base SAS, SAS Macros, SAS Data Step, SAS SQL, SAS Enterprise Guide and/or SAS Studio.
• Proven experience developing and deploying analytical or predictive models.
• Strong understanding of Linear and Logistic Regression, Time Series Forecasting, Segmentation Models, Risk, Pricing, or Predictive Modelling.
• Experience across the full Model Development Lifecycle (MDLC): Development, Testing, Validation, Documentation, Production Deployment.

Responsibilities

• Design, develop, and implement statistical, predictive, pricing, or risk models using SAS.
• Build modelling datasets, feature engineering pipelines, and variable transformations.
• Develop model logic, segmentation rules, scoring algorithms, and scenario simulations.
• Translate business and model requirements into robust, efficient SAS solutions.
• Design, build, and maintain automated model execution, scoring, and monitoring processes.
• Monitor model performance and propose enhancements; support governance and regulatory reviews.

Skills

SAS programming

Modelling

Data analysis

Stakeholder comms

Tools

Base SAS

SAS Macros

SAS Data Step

SAS SQL

SAS Enterprise Guide

SAS Studio

Job description

Stealth IT Consulting seeks an experienced SAS Model Developer to support design, development, validation, and deployment of statistical models. This hands-on SAS role emphasizes predictive modelling, data pipelines, and production deployment.

Key responsibilities include building datasets, writing SAS code, validation, and governance support for a high-profile programme. Remote with occasional visits to Liverpool; 6-month contract.