Pricing Analyst
Fareham, Hampshire County, PO16, England, UK
Listed on 2025-12-30
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Business
Data Scientist, Financial Analyst
Working hours
This role is available on a part‑time, job‑share or full‑time basis
LocationHybrid (Fareham/London office & remote working)
The opportunityDo 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 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 different ways, including part‑time, flexible hours, job share, an element of 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.
- 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.
- A degree (or equivalent) in a quantitative discipline and around 2 years’ experience in insurance pricing and statistical modelling.
- Knowledge in 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.
As an inclusive employer we want to ensure that all candidates feel comfortable and are able to perform at their best during the interview. You’ll have the opportunity to let us know of any reasonable adjustment or practical support needed when you apply.
What will you get in return?Everyone’s different. That’s why at Zurich, we offer a wide range of employee benefits so our people can choose what fits them and their life. Our benefits provide real flexibility so our people can make considered choices and tailor their benefits throughout the year. Our benefits include 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.
Follow the link for more information about our benefits - Employee benefits | Working at Zurich Insurance UK
Who we areAt Zurich we aspire to be one of the most responsible and impactful businesses in the world and the best global insurer. Together we’re creating a brighter future for our customers, our people and our planet. With over 55,000 employees in more than 170 countries, you’ll feel the support of being part of a strong and stable company who are a long‑standing player in the insurance industry.
We’ve made a promise to each other and every employee; to focus on sustainable impact, to care about each other’s wellbeing, to use our diverse expertise to be curious and optimistic and to develop the skills needed for our future. If you're interested in working in a dynamic and challenging…
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