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- Tasks: Lead data-driven pricing models and solve strategic queries for commercial success.
- Company: Dynamic insurance company in Manchester with a focus on innovation.
- Benefits: Hybrid working, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact in the insurance sector using your data skills.
- Qualifications: Strong mathematical background with SQL and Python expertise.
- Other info: Flexible work culture that promotes work-life balance.
The predicted salary is between 36000 - 60000 £ per year.
An insurance company based in Manchester is seeking a Pricing Lead to drive insights into commercial outcomes while ensuring customer satisfaction. This role involves leading model developments and solving strategic queries to maximize profitability.
The ideal candidate will have a strong mathematical background with skills in SQL and Python. Hybrid working is part of the company culture, allowing flexibility in work locations. A passion for using data in the insurance sector is essential.
Pricing Lead — Data-Driven Modeling & Growth (Hybrid) in Manchester employer: First Central Services
Contact Detail:
First Central Services Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Pricing Lead — Data-Driven Modeling & Growth (Hybrid) in Manchester
✨Tip Number 1
Network like a pro! Reach out to people in the insurance sector, especially those who work with data. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! If you’ve got experience with SQL and Python, consider creating a small project or analysis to showcase your abilities. Share it on LinkedIn or during interviews to impress potential employers.
✨Tip Number 3
Prepare for the interview by understanding the company’s values and how they use data. Tailor your answers to show how your passion for data aligns with their goals in the insurance sector.
✨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 Pricing Lead — Data-Driven Modeling & Growth (Hybrid) in Manchester
Some tips for your application 🫡
Show Your Passion for Data: When you're writing your application, make sure to highlight your enthusiasm for using data in the insurance sector. We want to see how your passion aligns with our mission at StudySmarter!
Highlight Your Technical Skills: Don’t forget to showcase your strong mathematical background and your skills in SQL and Python. We’re looking for someone who can lead model developments, so let us know how you’ve used these tools in your previous roles.
Tailor Your Application: Make your application stand out by tailoring it to the role of Pricing Lead. We love when candidates take the time to connect their experiences to the specific requirements mentioned in the job description.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and get to know you better!
How to prepare for a job interview at First Central Services
✨Know Your Numbers
Brush up on your mathematical skills and be ready to discuss how you've used data to drive insights in previous roles. Be prepared to explain complex models you've developed and how they impacted profitability.
✨Showcase Your Technical Skills
Make sure you can confidently talk about your experience with SQL and Python. Consider preparing a few examples of projects where you utilised these skills, especially in the context of pricing strategies or data analysis.
✨Understand the Company Culture
Since hybrid working is part of their culture, think about how you can demonstrate your adaptability and self-motivation. Share examples of how you've successfully worked in flexible environments and maintained productivity.
✨Passion for Data in Insurance
Express your enthusiasm for using data within the insurance sector. Prepare to discuss trends you've noticed in the industry and how you believe data-driven decision-making can enhance customer satisfaction and commercial outcomes.
