SAS Model Developer - Contractor

Stealth IT Consulting; Liverpool; Remoto; GBP 72.000 - 94.000; Tempo pieno

Vantaggi offerti da questo lavoro

Fully remote work

Occasional visits to Liverpool

Descrizione del lavoro

Stealth IT Consulting seeks an experienced SAS Model Developer to support design, development, validation, and deployment of statistical models. This hands-on SAS role emphasizes predictive modelling, data pipelines, and production deployment.

Key responsibilities include building datasets, writing SAS code, validation, and governance support for a high-profile programme. Remote with occasional visits to Liverpool; 6-month contract.

Competenze

• 5+ years of commercial SAS programming experience.
• Strong hands-on experience with Base SAS, SAS Macros, SAS Data Step, 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.

Mansioni

• 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.
• Design, build, and maintain automated model execution, scoring, and monitoring processes.
• Monitor model performance and propose enhancements; support governance and regulatory reviews.

Conoscenze

SAS programming

Modelling

Data analysis

Stakeholder comms

Strumenti

Base SAS

SAS Macros

SAS Data Step

SAS SQL

SAS Enterprise Guide

SAS Studio

Descrizione del lavoro

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.