At a Glance
- Tasks: Design and develop SAS models while optimising data processes in a dynamic environment.
- Company: Join a leading analytics firm in London with a hybrid work culture.
- Benefits: Competitive daily rate, flexible working, and opportunities for skill enhancement.
- Other info: Enjoy a collaborative atmosphere with potential for career growth.
- Why this job: Make an impact by building predictive models that drive business insights.
- Qualifications: Hands-on SAS programming experience and strong data analysis skills.
The predicted salary is between 96000 - 96000 £ per year.
Location: London (Hybrid - 2 days onsite per week)
Rate: 400/day Inside IR35
Duration: 3-month rolling contract
Overview
We're looking for an experienced SAS Model Developer to support model development, enhancement, and deployment across a large-scale data and analytics environment. This role will focus on building and optimising SAS-based models, supporting the full model development lifecycle from data preparation and feature engineering through to testing, validation, and production deployment.
Key Responsibilities
- Design, develop, and enhance statistical, predictive, and pricing models using SAS
- Build modelling datasets, feature engineering pipelines, and variable transformations
- Develop SAS programs using:
- Base SAS
- SAS Macros
- Data Step
- SAS SQL
- Support automated model execution, scoring, and monitoring processes
- Conduct model testing, validation, back-testing, and performance analysis
- Analyse large datasets to identify trends, patterns, and business insights
- Produce technical documentation, model artefacts, and governance outputs
- Support deployment and productionisation of models within controlled environments
- Work closely with data engineering and technology teams to support implementation
What We're Looking For
- Strong hands-on SAS programming experience
- Experience across:
- SAS Base
- SAS Macros
- SAS SQL
- SAS Enterprise Guide / SAS Studio
- Experience developing and deploying predictive or statistical models
- Strong understanding of:
- Regression models
- Forecasting
- Segmentation
- Risk or pricing models
- Experience working across the full model development lifecycle
- Strong data analysis, transformation, and feature engineering capability
- Comfortable working with large and complex datasets
SAS Model Developer. Job in London LilyLifestyle Jobs employer: United Cerebral Palsy of Georgia
At LilyLifestyle, we pride ourselves on being an exceptional employer, offering a dynamic work environment in the heart of London. Our hybrid working model promotes a healthy work-life balance while providing opportunities for professional growth and development in the field of data analytics. Join us to be part of a collaborative culture that values innovation and empowers you to make a meaningful impact through your expertise in SAS model development.
Contact Details:
United Cerebral Palsy of Georgia Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land SAS Model Developer. Job in London LilyLifestyle Jobs
✨Tip Number 1
Network like a pro! Reach out to your connections in the data and analytics field. Attend meetups or webinars related to SAS and model development. You never know who might have a lead on that perfect job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SAS projects, models you've developed, and any cool data insights you've uncovered. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common SAS-related questions and scenarios. Practice explaining your model development process clearly and confidently. We want you to shine when it’s your turn to impress!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace SAS Model Developer. Job in London LilyLifestyle Jobs
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your SAS programming experience and any relevant model development projects. We want to see how your skills match the job description, so don’t be shy about showcasing your expertise in Base SAS, SAS Macros, and SAS SQL!
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 Model Developer role. Share specific examples of your work with predictive models and data analysis to grab our attention.
Showcase Your Projects:If you’ve worked on any interesting projects involving model development or data analysis, make sure to mention them. We love seeing real-world applications of your skills, especially if they relate to regression models or forecasting!
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’re considered for the role. Plus, it makes the whole process smoother for everyone involved!
How to prepare for a job interview at United Cerebral Palsy of Georgia
✨Know Your SAS Inside Out
Make sure you brush up on your SAS programming skills, especially Base SAS, SAS Macros, and SAS SQL. Be ready to discuss specific projects where you've developed or enhanced models using these tools, as this will show your hands-on experience.
✨Showcase Your Model Development Process
Prepare to walk through the full model development lifecycle in your previous roles. Highlight your experience with data preparation, feature engineering, testing, and validation. This will demonstrate your comprehensive understanding of the process and your ability to contribute effectively.
✨Bring Data Analysis Examples
Have a couple of examples ready where you've analysed large datasets to extract trends or insights. Discuss the techniques you used for data transformation and how they impacted the model's performance. This will showcase your analytical skills and problem-solving abilities.
✨Communicate Clearly and Confidently
During the interview, focus on clear communication, especially when discussing technical concepts. Prepare to explain complex ideas simply, as you'll need to collaborate with data engineering and technology teams. Confidence in your delivery can make a big difference!
