At a Glance
- Tasks: Design and develop SAS models while collaborating with data engineering teams.
- Company: Join a leading analytics firm in London with a hybrid work model.
- Benefits: Competitive daily rate, flexible working, and opportunities for skill enhancement.
- Other info: Exciting 3-month rolling contract with potential for growth.
- Why this job: Make an impact by optimising models in a dynamic data environment.
- Qualifications: Strong SAS programming skills and experience in model development.
The predicted salary is between 30000 - 40000 £ 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
As a SAS Model Developer at our London office, you will thrive in a dynamic hybrid work environment that fosters collaboration and innovation. We prioritise employee growth through continuous learning opportunities and a supportive culture that values your contributions. Enjoy competitive rates and the chance to work on impactful projects within a large-scale data and analytics setting, making this an excellent opportunity for those seeking meaningful and rewarding employment.
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 role!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SAS projects, especially those involving predictive models. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common SAS-related questions and practical tests. 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 noticed. 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!
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 how you’ve tackled challenges in the past.
Showcase Your Technical Skills:Since this role requires strong hands-on SAS experience, make sure to mention your proficiency with Base SAS, SAS Macros, and SAS SQL. We love seeing candidates who can demonstrate their technical prowess clearly and confidently.
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’s super easy – just follow the prompts!
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 support model deployment.
✨Analyse Data Like a Pro
Be prepared to discuss how you've analysed large datasets to identify trends and insights. Bring examples of how your analysis has led to actionable business decisions, as this will showcase your analytical skills and understanding of the business impact.
✨Communicate Clearly and Confidently
Since you'll be working closely with data engineering and technology teams, practice explaining complex concepts in simple terms. Clear communication is key, so think about how you can convey your technical knowledge effectively during the interview.
