At a Glance
- Tasks: Design and develop predictive models using SAS in a dynamic data environment.
- Company: Join a leading analytics firm with a focus on innovation and collaboration.
- Benefits: Competitive daily rate, hybrid work model, and opportunities for skill enhancement.
- Other info: Engage in a fast-paced environment with potential for career growth.
- Why this job: Make an impact by optimising models that drive business insights and decisions.
- Qualifications: Hands-on SAS programming experience and knowledge of model development lifecycle.
The predicted salary is between 48000 - 52000 £ 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 in Slough employer: TXP
Join a forward-thinking company in London that values innovation and collaboration, offering a hybrid work model that promotes work-life balance. As a SAS Model Developer, you'll have the opportunity to enhance your skills in a dynamic environment while contributing to impactful projects that drive business insights. With a strong focus on employee growth and development, this role provides access to cutting-edge tools and resources, ensuring you thrive in your career.
StudySmarter Expert Advice🤫
We think this is how you could land SAS Model Developer in Slough
✨Tip Number 1
Network like a pro! Reach out to your connections in the data and analytics field. Let them know you're on the lookout for SAS Model Developer roles. You never know who might have the inside scoop on an opportunity!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SAS projects, especially those involving model development and deployment. 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 scenarios. Practice explaining your experience with model testing, validation, and performance analysis. Confidence is key, so let your expertise shine!
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace SAS Model Developer in Slough
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 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 how you've tackled challenges in the past.
Showcase Your Technical Skills:When filling out your application, make sure to mention your experience with model testing, validation, and performance analysis. We love seeing candidates who can demonstrate their understanding of the full model development lifecycle!
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 to do!
How to prepare for a job interview at TXP
✨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 used these tools, as well as any challenges you faced and how you overcame them.
✨Showcase Your Model Development Experience
Prepare to talk about the full model development lifecycle you've been involved in. Highlight your experience with statistical, predictive, and pricing models, and be ready to explain your approach to data preparation, feature engineering, and model validation.
✨Demonstrate Your Data Analysis Skills
Since this role involves analysing large datasets, come prepared with examples of how you've identified trends and patterns in data. Discuss the techniques you used for data transformation and feature engineering, and how they contributed to successful model outcomes.
✨Communicate Clearly and Collaboratively
This position requires working closely with data engineering and technology teams. Be ready to discuss how you've collaborated with others in past roles, and emphasise your ability to produce clear technical documentation and governance outputs.
