Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Build and enhance pricing models using advanced data science techniques.
- Company: Leading insurance firm in the UK with a focus on innovation.
- Benefits: Competitive salary, performance-based bonuses, and comprehensive benefits package.
- Why this job: Join a dynamic team and make an impact with your data-driven insights.
- Qualifications: Strong background in claims data, machine learning, and actuarial techniques.
- Other info: Collaborative environment with opportunities for professional growth.
The predicted salary is between 36000 - 60000 £ per year.
A leading insurance firm in the United Kingdom is looking for a candidate to join their pricing team. The role involves building and enhancing pricing models using advanced data science techniques. Applicants should have a strong background in claims data, machine learning, and actuarial techniques. The successful candidate will work closely with other teams and communicate technical concepts effectively. This position also offers a competitive salary, performance-based bonuses, and a comprehensive benefits package.
Hybrid Senior Technical Pricing Analyst: Data-Driven Modelling in Royal Tunbridge Wells employer: AXA Group
Contact Detail:
AXA Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid Senior Technical Pricing Analyst: Data-Driven Modelling in Royal Tunbridge Wells
✨Tip Number 1
Network like a pro! Reach out to people in the insurance and data science fields. Use LinkedIn to connect with current employees at the company you're eyeing, and don't be shy about asking for informational chats.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies that highlight your experience with claims data and machine learning. This will give you an edge when discussing your technical expertise during interviews.
✨Tip Number 3
Practice makes perfect! Get comfortable explaining complex concepts in simple terms. You’ll need to communicate effectively with non-technical teams, so practice breaking down your work into digestible bits.
✨Tip Number 4
Apply through our website! We want to see your application come through directly. It shows initiative and gives us a chance to see your enthusiasm for the role right from the start.
We think you need these skills to ace Hybrid Senior Technical Pricing Analyst: Data-Driven Modelling in Royal Tunbridge Wells
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with claims data and machine learning. 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 pricing models and how your background makes you a perfect fit for our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Communication Skills: Since you'll be working closely with other teams, it's important to demonstrate your ability to communicate complex technical concepts clearly. Include examples in your application that show how you've done this in the past.
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 from our team!
How to prepare for a job interview at AXA Group
✨Know Your Data Science Stuff
Make sure you brush up on your knowledge of data science techniques, especially those related to pricing models. Be ready to discuss how you've used machine learning and actuarial techniques in past roles, as this will show your expertise and relevance to the position.
✨Showcase Your Communication Skills
Since you'll be working closely with other teams, it's crucial to demonstrate your ability to communicate complex technical concepts clearly. Prepare examples of how you've successfully explained data-driven insights to non-technical stakeholders in the past.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical pricing problems or analyse claims data. Practise articulating your thought process and the steps you'd take to build or enhance a pricing model, as this will highlight your analytical skills.
✨Research the Company and Its Culture
Familiarise yourself with the insurance firm’s values, recent news, and their approach to pricing. This will not only help you tailor your answers but also show your genuine interest in the company and how you can contribute to their goals.
