At a Glance
- Tasks: Design and develop predictive models using SAS while collaborating with teams.
- Company: Global recruitment specialist with a focus on innovative solutions.
- Benefits: Competitive pay rate of £402 per day and flexible working arrangements.
- Other info: Opportunity for career growth and impactful work in model development.
- Why this job: Join a dynamic team and enhance your skills in a fast-paced environment.
- Qualifications: 5-10+ years of SAS programming experience and strong analytical skills.
The predicted salary is between 30000 - 40000 £ 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.
IT SAS Programmer employer: eTeam
As a leading global recruitment specialist, we pride ourselves on fostering a dynamic and inclusive work culture that values innovation and collaboration. Located in the vibrant city of London, we offer our employees competitive pay rates, flexible working arrangements, and ample opportunities for professional growth and development within the fast-paced IT sector. Join us to be part of a team that not only supports your career aspirations but also encourages meaningful contributions to impactful projects across diverse markets.
StudySmarter Expert Advice🤫
We think this is how you could land IT SAS Programmer
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works in SAS programming. You never know who might have a lead on your next job!
✨Show Off Your Skills
When you get the chance to chat with potential employers, don’t hold back! Share specific examples of your SAS projects and how you’ve tackled challenges. This is your time to shine and show them what you can do!
✨Tailor Your Approach
Make sure you’re tailoring your conversations to the specific role you’re after. Highlight your experience with model development and data analysis, and relate it back to what they’re looking for in an IT SAS Programmer.
✨Apply Through Our Website
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for talented individuals like you!
We think you need these skills to ace IT SAS Programmer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your SAS programming experience and relevant skills. We want to see how your background aligns with the role, so don’t be shy about showcasing your expertise in model development and data analysis!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for the SAS Engineer role. We love seeing enthusiasm and a clear understanding of the job requirements, so let your personality come through.
Showcase Your Projects:If you've worked on any interesting SAS projects, make sure to mention them! We’re keen to see examples of your work, especially those that demonstrate your ability to build efficient SAS programs and conduct model validation.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and get back to you quickly. Plus, it helps us keep everything organised as we review applications.
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.
✨Understand the Modelling Concepts
Familiarise yourself with key modelling concepts like regression, time-series forecasting, and segmentation models. Prepare to explain how you've applied these concepts in past roles, and be ready to discuss the model development lifecycle in detail.
✨Prepare for Technical Questions
Expect technical questions that test your knowledge of SAS programming and model validation. Practice coding problems or scenarios that might come up during the interview, and think about how you would optimise SAS code for performance.
✨Showcase Your Data Analysis Skills
Be prepared to discuss your experience with large datasets and how you've derived insights from them. Bring examples of your analytical outputs and be ready to explain how they influenced business decisions or recommendations.
