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# Data Scientist (Pricing)

- **Company:** Arthur
- **Location:** Greater London, UK
- **Experience:** Starter
- **Contract:** Permanent contract
- **Skills:** Microsoft Excel, Python (Programming Language), Power BI, SQL Databases, Tableau (Software), Data Processing
- **Published:** August 26, 2026
- **Apply:** https://www.collegerecruiter.com/job/2815093138-data-scientist-pricing

## About the Role

* 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.

## 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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