SAS Developer

Location

London

Duration

20/12/2026

Days on site

2 days onsite

Pay-Rate

£402 per day all inc. (PAYE through Umbrella)

Responsibilities

• Design, develop, and implement statistical, pricing, or predictive models using SAS.
• Build modelling datasets, feature engineering pipelines, and variable transformations.
• Implement model logic, segmentation rules, scoring code, and scenario simulations.
• Translate business/model requirements into robust SAS code.
• Build efficient and reusable SAS programs using Base SAS, SAS Macros, Data Step, and SQL.
• Develop automated pipelines for model execution, scoring, and monitoring.
• Optimise SAS code for performance and scalability.
• Conduct back‑testing, model performance assessment, sensitivity checks, and stress testing.
• Validate datasets, assumptions, sampling methods, variable selection, and model accuracy.
• Prepare documentation for model testing, governance, and regulatory review.
• Analyse large structured datasets to derive patterns, insights, and business recommendations.
• Support teams with analytical outputs, trend analysis, and performance deep dives.
• Produce high‑quality artefacts such as model documentation, technical specifications, and impact analyses.
• Support scoring implementation, versioning, and production monitoring.
• Work with IT/Data Engineering teams to deploy models in controlled environments.

Qualifications

• 5–10+ years of SAS programming experience.
• Hands‑on experience with SAS SQL.
• Hands‑on experience with SAS Enterprise Guide or SAS Studio.
• Strong understanding of modelling concepts such as time‑series forecasting.
• Experience with model development lifecycle (MDLC) – development, testing, validation, documentation, and deployment.
• Strong data extraction, cleansing, transformation, and feature engineering skills.
• Experience working with large datasets and complex data workflows.

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