At a Glance
- Tasks: Transform data into insights and solve complex challenges using advanced analytics.
- Company: Dynamic insurance company with a focus on innovation and collaboration.
- Benefits: Flexible working hours, competitive pension scheme, and private medical insurance.
- Other info: Join a supportive team that values flexibility and continuous improvement.
- Why this job: Shape the future of insurance through data-driven decision-making and innovative modelling techniques.
- Qualifications: Degree in a quantitative field and experience in statistical modelling and insurance pricing.
The predicted salary is between 40000 - 50000 £ per year.
Working hours: This role is available on a part-time, job-share or full-time basis.
Location: London or Fareham (Hybrid working available)
Contract Type: Permanent
Closing date for applications: 3rd June 2026
The opportunity
Do you love transforming data into powerful insights that drive real business decisions? Are you excited by advanced analytics and statistical modelling? If so, we’d love to hear from you! Our Predictive Modelling team within Commercial Pricing Analytics is looking for a talented Pricing Analyst who thrives on solving complex challenges using cutting‑edge statistical techniques. In this role, you will identify, assess, and design solutions to address key business challenges. You will collaborate with stakeholders across the organization throughout the project lifecycle, developing advanced analytics models and delivering actionable business insights. This is an opportunity to work cross‑functionally, innovate with purpose, and shape the future of insurance through data‑driven decision‑making. Many of our employees work flexibly in a variety of ways, including part‑time, flexible hours, job share, working from home or compressed hours. This is because we want the best people for our roles, and we recognise that sometimes those people aren’t available full‑time. Please talk to us at the interview about the flexibility you may need.
Responsibilities
- Design, develop, and validate statistical models, including Generalised Linear Models (GLM) and other methods, to support pricing and underwriting decisions.
- Analyse data, interpret model outputs, and communicate insights clearly to both technical and non‑technical audiences.
- Deliver analytics solutions that provide actionable insights for the business.
- Collaborate with teams across Data, Pricing, Underwriting, and other functions to translate objectives into advanced analytics models.
- Research and apply new modelling techniques and tools to enhance predictive capabilities.
- Drive continuous improvement by reusing assets and optimising processes.
- Analyse internal and external data to identify trends, assess impacts, and provide strategic recommendations.
- Develop business cases for prototypes, explore new technologies, and identify opportunities for process improvement.
- Share knowledge and best practices within the team.
Qualifications
Ideally, you will have:
- A degree (or equivalent) in a quantitative discipline and experience in insurance pricing and statistical modelling.
- Knowledge and experience with tools such as SQL, R/Python and Emblem.
- Strong communication skills to explain complex concepts to diverse audiences.
- A proactive mindset, problem‑solving ability, and a passion for innovation.
Benefits
Our benefits include a 12% defined non‑contributory pension scheme, annual company bonus, private medical insurance, and the option to buy up to an additional 20 days or sell some of your holiday. We offer a wide range of employee benefits that allow you to make considered choices and tailor your benefits throughout the year. We’re committed to treating all applicants fairly and with respect, irrespective of their actual or assumed background, sexual orientation, disability or any other protected characteristic.
Pricing Analytics Specialist - Insurance Modeling employer: Zurich Insurance
As a Pricing Analytics Specialist in our innovative Predictive Modelling team, you'll thrive in a flexible work environment that values your expertise and encourages collaboration across various functions. With a strong commitment to employee growth, we offer extensive benefits including a generous pension scheme, private medical insurance, and the opportunity to tailor your holiday options, making us an excellent employer for those seeking meaningful and rewarding careers in London or Fareham.
StudySmarter Expert Advice🤫
We think this is how you could land Pricing Analytics Specialist - Insurance Modeling
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even casual coffee chats. The more you engage with others, the better your chances of hearing about job openings before they’re even advertised.
✨Show Off Your Skills
Don’t just talk about your experience; demonstrate it! Create a portfolio showcasing your projects, especially those involving statistical modelling or data analysis. This will give potential employers a taste of what you can bring to the table.
✨Tailor Your Approach
When reaching out to companies, make sure to tailor your message to each one. Highlight how your skills align with their needs, especially in pricing analytics. A personalised approach shows you’ve done your homework and are genuinely interested.
✨Apply Through Our Website
We encourage you to apply directly through our website for the best chance at landing that role. It’s the quickest way for us to see your application and get you in front of the right people. Don’t miss out on this opportunity!
We think you need these skills to ace Pricing Analytics Specialist - Insurance Modeling
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Pricing Analytics Specialist role. Highlight your experience with statistical modelling and tools like SQL, R/Python, as these are key to what we’re looking for.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you’re passionate about data-driven decision-making in insurance. Share specific examples of how you've transformed data into insights that drove business decisions, as this will resonate with our team.
Showcase Your Communication Skills:Since you'll be communicating complex concepts to diverse audiences, make sure to demonstrate your ability to explain technical details clearly in your application. This could be through examples in your CV or cover letter.
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 regarding your application status.
How to prepare for a job interview at Zurich Insurance
✨Know Your Numbers
Make sure you brush up on your statistical modelling knowledge, especially around Generalised Linear Models (GLM). Be ready to discuss how you've used these techniques in past projects and how they can apply to the role. This will show that you're not just familiar with the concepts but can also implement them effectively.
✨Communicate Clearly
Since you'll be explaining complex data insights to both technical and non-technical audiences, practice articulating your thoughts clearly. Use simple language to explain your past projects and the impact of your work. This will demonstrate your strong communication skills, which are crucial for this role.
✨Show Your Collaborative Spirit
This role involves working cross-functionally, so be prepared to share examples of how you've successfully collaborated with different teams in the past. Highlight any experiences where you translated objectives into analytics models, as this will showcase your ability to work well with others and drive results.
✨Be Ready to Innovate
The company is looking for someone who is passionate about innovation and continuous improvement. Think of examples where you've researched new modelling techniques or tools and how you've applied them to enhance predictive capabilities. This will show that you're proactive and eager to contribute to the team's success.
