SAS Model Developer - Contractor in Liverpool

Contract: 6 months
Rate: £450 per day (Inside IR35)
Location: Remote with occasional visits to Liverpool

We are seeking an experienced SAS Model Developer to join a high-profile programme, supporting the design, development, validation, and deployment of statistical and predictive models. This is an excellent opportunity for a hands‑on SAS specialist with strong modelling expertise and a passion for delivering data‑driven solutions at scale.

Key Responsibilities

• Design, develop, and implement statistical, predictive, pricing, or risk models using SAS.
• Build modelling datasets, feature engineering pipelines, and variable transformations.
• Develop model logic, segmentation rules, scoring algorithms, and scenario simulations.
• Translate business and model requirements into robust, efficient SAS solutions.

SAS Programming

• Develop high-quality SAS programs using Base SAS, SAS Macros, Data Step, and SAS SQL.
• Build and maintain automated model execution, scoring, and monitoring processes.
• Optimise SAS code to improve performance, scalability, and maintainability.
• Ensure coding standards and best practices are followed throughout development.

Model Validation & Testing

• Perform model testing, back‑testing, sensitivity analysis, and stress testing.
• Validate data quality, assumptions, sampling methodologies, and model performance.
• Support governance activities through comprehensive testing and validation documentation.
• Assist with regulatory reviews and audit requirements where applicable.

Data Analysis & Insights

• Analyse large and complex datasets to identify trends, patterns, and business opportunities.
• Provide analytical support and performance insights to stakeholders.
• Produce technical documentation, model specifications, impact assessments, and reporting artefacts.

Deployment & Production Support

• Convert prototype models into production‑ready SAS code.
• Support model implementation, scoring deployment, version control, and monitoring activities.
• Work closely with Data Engineering and Technology teams to deploy solutions into controlled environments.
• Monitor model performance and recommend enhancements as required.

Essential Skills & Experience

• 5+ years of commercial SAS programming experience.
• Strong hands‑on experience with:
  • Base SAS
  • SAS Macros
  • SAS Data Step Programming
  • SAS SQL
  • SAS Enterprise Guide and/or SAS Studio
• Proven experience developing and deploying analytical or predictive models.
• Strong understanding of:
  • Linear and Logistic Regression
  • Time Series Forecasting
  • Segmentation Models
  • Risk, Pricing, or Predictive Modelling
• Experience across the full Model Development Lifecycle (MDLC):
  • Development
  • Testing
  • Validation
  • Documentation
  • Production Deployment
• Advanced data extraction, cleansing, transformation, and feature engineering skills.
• Experience working with large datasets and complex data workflows.
• Strong problem‑solving and stakeholder communication skills.

Desirable Experience

• Experience within financial services, insurance, risk, or large‑scale analytical environments.
• Knowledge of model governance frameworks and regulatory requirements.
• Exposure to cloud‑based analytics platforms and modern data engineering practices.

What's on Offer?

• £450 per day Inside IR35.
• Fully remote working arrangement.
• Occasional visits to Liverpool.
• Initial 6‑month contract with potential for extension.
• Opportunity to work on large‑scale modelling and analytics initiatives with significant business impact.

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