At a Glance
- Tasks: Design and enhance statistical models using SAS in a dynamic data environment.
- Company: Join TXP, a leader in predictive and pricing analytics.
- Benefits: Hybrid work model, competitive pay, and opportunities for skill development.
- Other info: Enjoy a flexible work schedule with a 3-month rolling contract.
- Why this job: Make an impact by developing models that drive business decisions.
- Qualifications: Experience in SAS programming and model lifecycle management.
The predicted salary is between 50000 - 65000 £ per year.
TXP is seeking an experienced SAS Model Developer to support model development within a large-scale data environment. This role involves designing and enhancing statistical models, with a focus on SAS programming and the full model lifecycle.
Key responsibilities include:
- Building datasets
- Conducting model validation and deployment
- Working closely with engineering teams
The position is hybrid, requiring 2 days onsite per week, with a 3-month rolling contract.
SAS Modeling Engineer - Predictive & Pricing Analytics in London employer: TXP
TXP is an excellent employer that fosters a collaborative and innovative work culture, providing employees with the opportunity to engage in meaningful projects within a large-scale data environment. With a strong emphasis on professional growth, employees benefit from continuous learning opportunities and the chance to work alongside talented engineering teams. The hybrid work model allows for flexibility while maintaining a vibrant office atmosphere, making it an attractive place for those looking to advance their careers in predictive and pricing analytics.
StudySmarter Expert Advice🤫
We think this is how you could land SAS Modeling Engineer - Predictive & Pricing Analytics in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those who work with SAS or in predictive analytics. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SAS projects and any statistical models you've developed. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common SAS-related questions and model lifecycle discussions. We recommend practising with a friend or using mock interview platforms to build your confidence.
✨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 Modeling Engineer - Predictive & Pricing Analytics in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with SAS programming and model development. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about predictive analytics and how your background makes you a perfect fit for our team. Keep it engaging and personal!
Showcase Your Technical Skills:Since this role involves a lot of technical work, be sure to mention specific tools and methodologies you’ve used in your previous roles. We love seeing candidates who can demonstrate their expertise in building datasets and conducting model validation.
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 don’t miss out on any important updates during the process. Let’s get started!
How to prepare for a job interview at TXP
✨Know Your SAS Inside Out
Make sure you brush up on your SAS programming skills before the interview. Be prepared to discuss specific projects where you've used SAS for model development, and be ready to explain your approach to building datasets and conducting model validation.
✨Understand the Full Model Lifecycle
Familiarise yourself with the entire model lifecycle, from design to deployment. Be ready to share examples of how you've managed each stage in previous roles, as this will show your comprehensive understanding of the process.
✨Collaborate Like a Pro
Since this role involves working closely with engineering teams, think of examples that highlight your teamwork skills. Prepare to discuss how you've successfully collaborated with others to enhance model performance or solve complex problems.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company's data environment and their expectations for the role. This not only shows your interest but also helps you gauge if the position aligns with your career goals.
