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 contract flexibility.
- Other info: Opportunity for growth in a collaborative engineering team.
- Why this job: Make an impact by developing models that drive business decisions.
- Qualifications: Experience in SAS programming and model development required.
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 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 supportive community, making TXP 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
✨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 open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! If you've got a portfolio of projects or models you've worked on, make sure to highlight them during interviews. Real-world examples can really set you apart from the competition.
✨Tip Number 3
Prepare for technical questions! Brush up on your SAS programming and model lifecycle knowledge. We all know that being able to talk through your thought process can impress interviewers.
✨Tip Number 4
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 Modeling Engineer - Predictive & Pricing Analytics
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!
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 at StudySmarter.
Showcase Your Technical Skills:Don’t forget to mention your technical skills in your application. We’re looking for someone who can handle the full model lifecycle, so highlight any experience you have with model validation and deployment.
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!
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 models or solve complex problems.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company's data environment and their expectations for the role. This shows your genuine interest in the position and helps you gauge if it's the right fit for you.
