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 of £402 per day and flexible working arrangements.
- Other info: Opportunity for rapid career growth and impactful work in model development.
- Why this job: Join a dynamic team and enhance your SAS programming skills in a global setting.
- 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.
Contract SAS Programmer employer: eTeam
Join a dynamic and innovative team in London as a Contract SAS Programmer, where you will have the opportunity to work on cutting-edge statistical modelling projects. Our company fosters a collaborative work culture that values professional growth, offering extensive training and development opportunities to enhance your skills. With competitive pay rates and a flexible work environment, we are committed to providing a rewarding experience for our employees.
StudySmarter Expert Advice🤫
We think this is how you could land Contract SAS Programmer
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and join online forums. 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 SAS programming questions and scenarios. Mock interviews with friends or using online platforms can help us nail those tricky questions and boost our confidence.
✨Tip Number 3
Showcase your skills through a portfolio! Create a GitHub repository or a personal website where you can display your SAS projects and model implementations. This gives potential employers a taste of what we can do.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we often have exclusive roles listed there that you won’t find anywhere else. Don’t miss out!
We think you need these skills to ace Contract 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 apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it makes the whole process smoother for everyone involved.
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, time-series forecasting, and segmentation models. Prepare examples of how you've developed, tested, and validated models in the past, and be clear about your role in the model development lifecycle.
✨Prepare for Technical Questions
Expect technical questions that may require you to write or explain SAS code on the spot. Practise coding exercises beforehand and be familiar with common data extraction and transformation techniques, as well as feature engineering.
✨Demonstrate Your Analytical 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, and bring along any relevant documentation or artefacts to showcase your work.
