Data Scientist (Pricing)

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.

• 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.