At a Glance
- Tasks: Design and develop predictive models using SAS while collaborating with IT teams.
- Company: Global recruitment specialist with a focus on innovative solutions.
- Benefits: Competitive pay rate, flexible work environment, and opportunities for professional growth.
- Other info: Shortlisting within 48 hours for quick feedback.
- Why this job: Join a dynamic team and make an impact through data-driven insights.
- 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.
Programista IT 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 team enjoys competitive pay rates, flexible working arrangements, and access to a wealth of resources and training opportunities, making it an ideal environment for IT professionals looking to advance their careers while contributing to impactful projects.
StudySmarter Expert Advice🤫
We think this is how you could land Programista IT
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage on platforms like LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your SAS skills. We recommend doing mock interviews with friends or using online resources to boost your confidence and refine your answers.
✨Tip Number 3
Tailor your approach for each application. Research the company and its culture, and be ready to discuss how your experience aligns with their needs. This shows you're genuinely interested and not just sending out generic applications.
✨Tip Number 4
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 Programista IT
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the SAS Engineer role. Highlight your relevant experience with SAS programming and model development. We want to see how your skills match what we're looking for!
Showcase Your Projects:Include specific projects where you've designed or implemented statistical models using SAS. This gives us a clear picture of your hands-on experience and problem-solving abilities.
Be Clear and Concise:When writing your application, keep it clear and to the point. Use bullet points for your skills and achievements to make it easy for us to read through your qualifications quickly.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from us!
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 prepared 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
Be ready to talk about your experience with different modelling concepts like regression and time-series forecasting. Prepare examples of models you've developed, including the lifecycle from development to deployment, and how they impacted business decisions.
✨Prepare for Technical Questions
Expect technical questions that test your understanding of model validation and testing. Brush up on back-testing methods and be ready to explain how you ensure model accuracy and performance in your previous roles.
✨Demonstrate Your Data Analysis Skills
Highlight your ability to analyse large datasets and derive actionable insights. Prepare to discuss specific instances where your analysis led to significant business recommendations or improvements, showcasing your analytical mindset.
