SAS Developer

Job Description:

All candidates should make sure to read the following job description and information carefully before applying.

We are a Global Recruitment specialist that provides support to the clients across EMEA, APAC, US and Canada. We have an excellent job opportunity for you.

Role Title: SAS Engineer

Location: London

Duration: 20/12/2026

Days on site: 2 days onsite

Pay-Rate: £402 per day all inc. (PAYE through Umbrella)

Role Description:

SAS Model Development & Enhancement (SAS Model Developer)

1. Design, develop, and implement statistical, pricing, or predictive models using SAS.

2. Build modelling datasets, feature engineering pipelines, and variable transformations.

3. Implement model logic, segmentation rules, scoring code, and scenario simulations.

4. Translate business/model requirements into robust SAS code.

SAS Programming (Mandatory)

1. Build efficient and reusable SAS programs using Base SAS, SAS Macros, Data Step, SQL.

2. Develop automated pipelines for model execution, scoring, and monitoring.

3. Optimise SAS code for performance and scalability.

Model Validation & Testing

1. Conduct back-testing, model performance assessment, sensitivity checks, and stress testing.

2. Validate datasets, assumptions, sampling methods, variable selection, and model accuracy.

3. Prepare documentation for model testing, governance, and regulatory review.

Data Analysis & Insight Generation

1. Analyse large structured datasets to derive patterns, insights, and business recommendations.

2. Support teams with analytical outputs, trend analysis, and performance deep dives.

3. Produce high-quality artefacts such as model documentation, technical specifications, and impact analyses.

Model Deployment & Productionisation

1. Convert prototype/model logic into production-ready SAS code.

2. Support scoring implementation, versioning, and production monitoring.

3. Work with IT/Data Engineering teams to deploy models in controlled environments.

Required Skills & Experience

5–10+ years of SAS programming experience.

Hands-on experience in:

1. SAS Base, SAS Macros, Data Step programming

2. SAS SQL

3. SAS Enterprise Guide or SAS Studio

Strong understanding of modelling concepts such as:

1. Regression (linear/logistic)

2. Time-series forecasting

3. Segmentation models

4. Risk, pricing, or predictive modelling

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.

If you are interested in this position and would like to learn more, please send through your CV and we will get in touch with you as soon as possible. xwzovoh Please note, candidates are often Shortlisted within 48 hours.