At a Glance
- Tasks: Design and develop predictive models using SAS to drive business insights.
- Company: Global recruitment specialist with a focus on innovative solutions.
- Benefits: Competitive pay rate, flexible work environment, and opportunities for professional growth.
- Other info: Exciting role with potential for career advancement in a collaborative setting.
- Why this job: Join a dynamic team and make an impact through data-driven decision making.
- Qualifications: 5-10 years of SAS programming experience and strong analytical skills.
The predicted salary is between 100000 - 120000 £ per year.
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.
Location: London
Duration: 20/12/2026
Days on site: 2 days onsite
Pay-Rate: £402 per day all inc. (PAYE through Umbrella)
Role Description:
- SAS Model Development & Enhancement (SAS Model Developer)
- 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.
- SAS Programming (Mandatory)
- 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.
- Model Validation & Testing
- 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.
- Data Analysis & Insight Generation
- 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.
- Model Deployment & Productionisation
- 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.
Required Skills & Experience
- 5–10+ years of SAS programming experience.
- Hands-on experience in:
- SAS Base, SAS Macros, Data Step programming
- SAS SQL
- SAS Enterprise Guide or SAS Studio
- Strong understanding of modelling concepts such as:
- Regression (linear/logistic)
- Time-series forecasting
- Segmentation models
- 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.
SAS Developer in London employer: eTeam
As a leading global recruitment specialist, we pride ourselves on fostering a dynamic and inclusive work culture that prioritises employee growth and development. Located in the vibrant city of London, our SAS Developer role offers competitive pay and the opportunity to work on innovative projects with cutting-edge technology, all while enjoying a supportive environment that encourages collaboration and professional advancement.
StudySmarter Expert Advice🤫
We think this is how you could land SAS Developer in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage on platforms like LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can land you that SAS Developer role.
✨Tip Number 2
Prepare for interviews by brushing up on your SAS skills and understanding the latest trends in model development. We recommend practising common interview questions and even doing mock interviews with friends or mentors to boost your confidence.
✨Tip Number 3
Showcase your projects! If you’ve worked on any relevant SAS projects, make sure to highlight them during interviews. We love seeing real-world applications of your skills, so be ready to discuss your approach and the impact of your work.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always on the lookout for talented SAS Developers, so get your CV in and let’s get the conversation started!
We think you need these skills to ace SAS Developer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the SAS Developer role. Highlight your relevant experience with SAS programming, model development, and any specific projects that showcase your skills. We want to see how you fit into our world!
Showcase Your Skills:Don’t just list your skills; demonstrate them! Use examples from your past work to show how you've successfully implemented SAS models or optimised code. This helps us understand your practical experience better.
Keep It Clear and Concise:When writing your application, clarity is key. Use straightforward language and avoid jargon unless it’s relevant to the role. We appreciate a well-structured application that gets straight to the point!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any updates. Plus, it’s super easy!
How to prepare for a job interview at eTeam
✨Know Your SAS Inside Out
Make sure you brush up on your SAS programming skills, especially Base SAS, SAS Macros, and SQL. Be ready to discuss specific projects where you've implemented these skills, as well as any challenges you faced and how you overcame them.
✨Showcase Your Modelling Experience
Prepare to talk about your experience with different modelling concepts like regression, time-series forecasting, and segmentation models. Have examples ready that demonstrate your understanding of the model development lifecycle, from design to deployment.
✨Data Analysis is Key
Be prepared to discuss how you've analysed large datasets in the past. Highlight any insights you've derived and how they influenced business decisions. This will show your analytical prowess and ability to generate actionable insights.
✨Documentation Matters
Don't underestimate the importance of documentation. Be ready to explain how you've prepared model documentation, technical specifications, and impact analyses in previous roles. This shows your attention to detail and commitment to governance and regulatory standards.
