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. While professional experience and qualifications are key for this role, make sure to check you have the preferable soft skills before applying if required. 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.