{ “@context”: “http://schema.org”, “@type”: “JobPosting”, “title”: “Data Scientist (Pricing)”, “description”: “
I am working with a growing Insurtech, who are seeking a Data Scientist within their pricing team – this is a growth hire, joining a team of 3.
My client has an office in London however, are open to making this role largely remote depending on candidate preference.
Responsibilities:
- Build, innovate, and maintain predictive models within a proprietary Retail Pricing suite, directly impacting prices and customer experience.
- Collaborate with the Senior Pricing Analyst and key stakeholders to implement price selection changes and provide actionable insights for improving commercial performance.
- Use SQL and Python for data processing, analysis, and price setting, leveraging millions of quotes to drive incremental revenue through retail pricing actions.
- Work closely with software developers to adapt and optimize pricing tools based on identified opportunities, with results visible within days.
Requirements:
- 1-2 years of experience as an analyst in Insurance, Financial Services, Retail, Travel, or other fast-paced industries.
- Strong numerate degree (e.g., Data Science, Mathematics, Physics, Engineering), though other disciplines will be considered with relevant experience.
- Proficient in Python and its data science libraries for data manipulation, visualization, and statistical modeling.
- Strong data manipulation and reporting skills in SQL and Excel; familiarity with PowerBI or Tableau is a bonus.
Company: Arthur Recruitment
Location: London
Job Description:
I am working with a growing Insurtech, who are seeking a Data Scientist within their pricing team – this is a growth hire, joining a team of 3.
My client has an office in London however, are open to making this role largely remote depending on candidate preference.
Responsibilities:
- Build, innovate, and maintain predictive models within a proprietary Retail Pricing suite, directly impacting prices and customer experience.
- Collaborate with the Senior Pricing Analyst and key stakeholders to implement price selection changes and provide actionable insights for improving commercial performance.
- Use SQL and Python for data processing, analysis, and price setting, leveraging millions of quotes to drive incremental revenue through retail pricing actions.
- Work closely with software developers to adapt and optimize pricing tools based on identified opportunities, with results visible within days.
Requirements:
- 1-2 years of experience as an analyst in Insurance, Financial Services, Retail, Travel, or other fast-paced industries.
- Strong numerate degree (e.g., Data Science, Mathematics, Physics, Engineering), though other disciplines will be considered with relevant experience.
- Proficient in Python and its data science libraries for data manipulation, visualization, and statistical modeling.
- Strong data manipulation and reporting skills in SQL and Excel; familiarity with PowerBI or Tableau is a bonus.
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Posted: March 6th, 2026