Negotiable
Outside
Undetermined
London, UK
Summary: The SAS Model Developer role is a contract position based in London, focusing on end-to-end model delivery within a lean analytics function. The successful candidate will work on critical modelling initiatives that have a significant production impact, collaborating closely with a small, skilled team. The position emphasizes autonomy, technical expertise, and effective delivery in a data-driven organization. Candidates will be responsible for developing and optimizing statistical and predictive models using SAS.
Key Responsibilities:
- Design, develop, and enhance statistical and predictive models using SAS across the full model development lifecycle.
- Build modelling datasets, feature engineering processes, and variable transformations.
- Develop model logic, segmentation rules, scoring code, and scenario analysis.
- Carry out model validation, back-testing, sensitivity analysis, and performance monitoring.
- Convert prototype models into production-ready SAS solutions with appropriate documentation.
- Work with analytics, technology, and business stakeholders to deploy and optimise models in controlled environments.
Key Skills:
- Strong experience developing statistical and predictive models in SAS.
- Advanced SAS programming capability including Base SAS, Data Step, SAS SQL, and macro development.
- Proven ownership of models from development and validation through to deployment and optimisation.
- Solid understanding of regression-based modelling, segmentation, forecasting, and model performance measurement.
- Confidence working independently and communicating complex modelling concepts to non-technical stakeholders.
Salary (Rate): £400.00 Daily
City: London
Country: UK
Working Arrangements: undetermined
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: Other
SAS Model Developer (Contract) London, Outside IR35 This contract offers the chance to own end-to-end model delivery within a lean analytics function, working on business-critical modelling initiatives with real production impact. You will join a small, highly capable team where autonomy, technical depth, and clear delivery are valued. The Company They are a data-driven organisation with a strong focus on pricing and analytics. Operating within a compact analytics team, they are investing in robust, scalable modelling solutions to support ongoing decision-making. The environment is collaborative and delivery-focused, with senior stakeholders closely engaged in the outcomes of the work. The Role and Deliverables
- Design, develop, and enhance statistical and predictive models using SAS across the full model development lifecycle.
- Build modelling datasets, feature engineering processes, and variable transformations.
- Develop model logic, segmentation rules, scoring code, and scenario analysis.
- Carry out model validation, back-testing, sensitivity analysis, and performance monitoring.
- Convert prototype models into production-ready SAS solutions with appropriate documentation.
- Work with analytics, technology, and business stakeholders to deploy and optimise models in controlled environments.
- Strong experience developing statistical and predictive models in SAS.
- Advanced SAS programming capability including Base SAS, Data Step, SAS SQL, and macro development.
- Proven ownership of models from development and validation through to deployment and optimisation.
- Solid understanding of regression-based modelling, segmentation, forecasting, and model performance measurement.
- Confidence working independently and communicating complex modelling concepts to non-technical stakeholders.