SAS Engineer - London and remote - 8 months+

SAS Engineer - London and remote - 8 months+

Posted Today by Octopus Computer Associates

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£280 Per day
Inside
Hybrid
London and remote, UK
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Data Analysis Data Extraction Feature Engineering Forecasting Generic Programming Life Cycle Planning Market Trend Model Validation Predictive Modeling Sampling (Statistics) SAS (Software) SAS/Base SAS Macros Scalability Software Development SQL (Programming Language) State Children's Health Insurance Programs Trend Analysis Verification And Validation Workflows

Summary: The SAS Engineer role involves developing and enhancing statistical models using SAS for a Blue Chip Client, requiring both on-site and remote work. The position demands expertise in SAS programming, model validation, and data analysis, with a focus on producing high-quality documentation and insights. Candidates must have significant experience in SAS and a strong understanding of modeling concepts. The role is classified as inside IR35, necessitating PAYE through 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 life cycle (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): £280 per day

City: London

Country: UK

Working Arrangements: hybrid

IR35 Status: inside IR35

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

SAS Engineer - London and remote - 8 months+/RATE: £280 per day inside IR35

One of our Blue Chip Clients is urgently looking for a SAS Engineer.

For this role you will need to be onsite in London 2 days per week.

Please find some details below:

MUST BE 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 & Product ionisation
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 life cycle (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.

Please send CV for full details and immediate interviews. We are a preferred supplier to the client.

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