Data Scientist in Fareham

Working hours: This role is available on a part-time, job-share or full-time basis.

Location: Hybrid (Fareham office & remote working).

Closing date for applications: 5th February 2026.

What will you be doing?

• Design, develop, and maintain data pipelines using Python and SQL, supporting pricing analytics, data migration, and wider Commercial Pricing initiatives.
• Develop, test and operationalise advanced enrichment features, including those derived from machine learning and AI techniques.
• Build and maintain a comprehensive data enrichment catalogue and integration of enrichment data into pricing and analytics tooling.
• Create real time Power BI dashboards to monitor data enrichment performance, translating results into actionable feedback for pricing stakeholders.
• Apply AI and advanced analytics techniques to uncover patterns, assess risk drivers, and improve predictive accuracy within pricing models.
• Support pricing model improvement initiatives, working alongside Pricing to assess data gaps, challenge assumptions, and improve commercial outcomes.
• Perform exploratory data analysis and targeted investigations, translating complex data into clear insights.
• Coordinate the use and governance of analytics and pricing software.
• Collaborate closely with stakeholders across Pricing, Underwriting, and Data teams ensuring analytical outputs are well understood, well governed, and directly usable in decision making.
• Help shape the future of data science in Commercial Pricing as AI and advanced analytics become embedded in pricing processes.

What are we looking for?

• Strong analytical skills with around 2-3 years’ experience working as a Data Scientist, Pricing Analyst, or Advanced Analytics professional, ideally within insurance.
• Proficiency in Python/R and SQL, with experience building robust, scalable data pipelines.
• Experience working with cloud data platforms (e.g. Snowflake or similar) and integrating multiple internal and external data sources.
• A good understanding of statistical analysis, feature engineering, and applied analytics within predictive models.
• Experience using or supporting analytics and visualisation tools such as Power BI.
• Excellent communication skills, with the ability to explain complex data concepts clearly to non-technical stakeholders.
• A proactive mindset and ability to work independently in a fast-paced environment.

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.

Who we are:

At 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.

Our Culture:

At Zurich, our sense of community is strong and we’re particularly passionate about diversity and inclusion, which we’ve won numerous awards for. We want our people to bring the whole of themselves to work and ensure everybody is made to feel welcome, regardless of their background, beliefs or culture. We want our employees to reflect the diversity of our customers, and so are committed to treating all of our applicants fairly and with respect, irrespective of their actual or assumed background, disability or any other protected characteristic.