Data Scientist

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

Do you enjoy applying data science and analytics to real world commercial problems and directly influencing pricing decisions? Are you motivated by building robust data pipelines, enriching complex datasets, and embedding advanced analytics into live pricing processes?

We are looking for a Data Scientist to join the Pricing Analytics team within Commercial Pricing. In this role, you will play a key part in strengthening the data foundations that underpin our pricing decisions by designing and maintaining data pipelines, developing advanced enrichment features, and translating complex data into actionable insight.

This is a hands on role combining data engineering, applied analytics, and close stakeholder collaboration. You’ll work across Pricing, Underwriting, and Data teams to improve data quality, model performance, and commercial outcomes. You’ll also help operationalise analytics through dashboards and governance and contribute to shaping how data science is embedded into pricing as we continue our migration to modern cloud based tooling.

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• 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.
  

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• 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.
  

We offer a wide range of benefits: 12% defined non‑contributory pension scheme, annual company bonus, private medical insurance, option to buy up to an additional 20 days or sell some of your holiday. Full pay for maternity, paternity and adoption leave up to 16 weeks, 28 days holiday plus bank holidays, three days paid volunteering.

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.