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SAS Developer
SAS Engineer – London (Contract Opportunity)
About the Role
We are seeking a skilled SAS Engineer with 5–10+ years of experience, specialising in SAS modelling, programming, and statistical analysis. This is a contract role based in London, with a duration until 20 December 2026, requiring 2 days on-site per week.
Employee Type: Contractor (£402 per day, all-inclusive, PAYE through Umbrella)
Role Description
SAS Model Development & Enhancement
- Design, develop, and implement statistical, pricing, and 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.
SAS Programming (Mandatory)
- Develop efficient and reusable SAS programs using:
- SAS Base
- SAS Macros
- Data Step
- SAS SQL
- Build automated pipelines for model execution, scoring, and monitoring.
- Optimise SAS code for performance and scalability.
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Model Validation & Testing
- Conduct back-testing, model performance assessments, and sensitivity checks.
- Validate datasets, assumptions, sampling methods, variable selection, and model accuracy.
- Prepare documentation for testing, governance, and regulatory review.
Data Analysis & Insight Generation
- Analyse large structured datasets to uncover patterns and business opportunities.
- Support teams with analytical outputs, trend analysis, and performance deep dives.
- Produce high-quality artefacts such as:
- Model documentation
- Technical specifications
- Impact analyses
Model Deployment & Productionisation
- Convert prototype/model logic into production-ready SAS code.
- Support scoring implementation, versioning, and production monitoring.
- Collaborate with IT/Data Engineering teams for controlled deployments.
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Required Skills & Experience
- 5–10+ years of SAS programming experience.
- Hands-on expertise in:
- SAS Base, SAS Macros, Data Step programming
- SAS SQL
- SAS Enterprise Guide or SAS Studio
- Strong understanding of modelling concepts, including:
- Regression (linear/logistic)
- Time-series forecasting
- Segmentation models
- Risk, pricing, or predictive modelling
- Experience with the model development lifecycle (MDLC), covering:
- Development
- Testing
- Validation
- Documentation
- Deployment
- Proficiency in data extraction, cleansing, transformation, and feature engineering.
- Experience working with large datasets and complex data workflows.
** apply today**
If you’re interested and meet these criteria, please send your CV. Candidates are often shortlisted within 48 hours. We look forward to your application!
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