SAS Engineer
Posted Today by eTeam Workforce Limited
£402 Per day
Inside
Onsite
London, UK
Summary: The SAS Engineer role involves designing, developing, and implementing statistical and predictive models using SAS, with a focus on model validation, data analysis, and deployment. The position requires extensive SAS programming experience and a strong understanding of modeling concepts. The role is based in London and requires two days on-site work per week. The contract is set to last until December 20, 2026, with a pay rate of £402 per day through PAYE via an umbrella company.
Key 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, 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.
- Convert prototype/model logic into production-ready SAS code.
- Support scoring implementation, versioning, and production monitoring.
- Work with IT/Data Engineering teams to deploy models in controlled environments.
Key Skills:
- 5-10+ years of SAS programming experience.
- Hands-on experience in SAS Base, SAS Macros, Data Step programming.
- Experience with SAS SQL.
- Familiarity with SAS Enterprise Guide or SAS Studio.
- Strong understanding of modelling concepts such as regression, time-series forecasting, segmentation models, and predictive modelling.
- Experience with model development lifecycle (MDLC) including development, testing, validation, documentation, and deployment.
- Strong data extraction, cleansing, transformation, and feature engineering skills.
- Experience working with large datasets and complex data workflows.
Salary (Rate): £402 per day
City: London
Country: UK
Working Arrangements: on-site
IR35 Status: inside IR35
Seniority Level: undetermined
Industry: IT
Detailed Description From Employer:
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
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. Please note, candidates are often Shortlisted within 48 hours.