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# SAS Engineer

- **Company:** Capgemini Sogeti
- **Location:** London, UK (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Big Data, Information Engineering, Data Mining, SAS (Software), Software Deployment, SQL Databases, Feature Engineering, Macros, Machine Learning Operations
- **Published:** June 29, 2026
- **Apply:** https://uk.indeed.com/viewjob?jk=0074390c608941b6

## About the Role

Do you have experience in Software deployment?, * 5-10 years of strong SAS programming experience.

 * Expertise in Base SAS, SAS Macros, Data Step, and SAS SQL.
 * Experience with SAS EG or SAS Studio.
 * Strong understanding of regression, forecasting, and segmentation models.
 * Hands-on experience in the full model development lifecycle (MDLC).
 * Strong data extraction, cleansing, and feature engineering capability.
 * Ability to work with large datasets and complex workflows.
 * Strong analytical, documentation, and problem-solving skills.

## Description

This role focuses on SAS-based model development, enhancement, validation, and deployment across pricing, risk, and predictive modelling domains. You will work on building end-to-end statistical models, developing robust SAS code, preparing high-quality documentation, conducting model testing, and supporting productionisation activities. The role requires strong analytical abilities, SAS programming expertise, and hands-on experience throughout the Model Development Lifecycle (MDLC)., * Develop and enhance predictive, pricing, and statistical models using SAS.

 * Build modelling datasets and perform feature engineering.
 * Implement model logic, scoring code, and segmentation rules.
 * Write efficient SAS programs for modelling and analysis.
 * Perform model testing, backtesting, and validation checks.
 * Analyse large datasets to generate insights and recommendations.
 * Convert prototype models into production-ready SAS code.
 * Collaborate with IT/Data Engineering for model deployment and monitoring.


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