At a Glance
- Tasks: Design and develop SAS models while collaborating with data 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 role with potential for career growth in data analytics.
- 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 Development Specialist. 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 culture that fosters innovation and collaboration. Our London-based team enjoys the flexibility of a hybrid working model, competitive daily rates, and opportunities for professional growth within a large-scale data and analytics environment. Join us to be part of a supportive community where your contributions are valued and you can make a meaningful impact in the field of 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 Development Specialist. 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, 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 Development Specialist. 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 Development Specialist role. Share specific examples of your work with predictive models and data analysis to grab our attention.
Showcase Your Technical Skills:When filling out your application, be sure to mention your experience with Base SAS, SAS Macros, and SAS SQL. We’re looking for someone who can hit the ground running, so let us know how you’ve used these tools in past projects.
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 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 prepared 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
Be ready 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.
✨Prepare for Technical Questions
Expect technical questions related to statistical models, regression analysis, and forecasting. Brush up on key concepts and be ready to explain how you've applied them in real-world scenarios. This will help you stand out as a knowledgeable candidate.
✨Communicate Clearly with Examples
When discussing your experience, use clear examples that illustrate your problem-solving skills and ability to analyse large datasets. This will not only showcase your technical expertise but also your ability to communicate complex ideas effectively, which is crucial for collaboration with data engineering teams.
