Data Scientist Pricing

Arthur

Posted a day ago, valid for 19 days

London, Greater London EC2V 7WS, England

Full Time

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.

Sonic Summary

A growing Insurtech company is seeking a Data Scientist to join their pricing team as a growth hire.
The position is largely remote, although the company has an office in London.
Candidates should have 1-2 years of experience in relevant fields such as Insurance, Financial Services, or Retail.
The role offers a salary of £50,000 to £60,000, depending on experience.
Key responsibilities include building predictive models and collaborating with stakeholders to enhance pricing strategies.

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 optimise 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, visualisation, and statistical modeling.
Strong data manipulation and reporting skills in SQL and Excel; familiarity with PowerBI or Tableau is a bonus.

Apply now in a few quick clicks

Data Scientist Pricing

Business Analyst

Business Analyst

Business Analyst