Data Scientist Pricing

Arthur

Posted 13 days ago, valid for 7 days

London, Greater London EC2V7NQ, England

£55,000 - £66,000 per annum

Full Time

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Sonic Summary

A growing Insurtech is seeking a Data Scientist for their pricing team, which currently consists of three members.
The position can be largely remote, with the company having an office in London.
Responsibilities include building and maintaining predictive models, collaborating with stakeholders, and using SQL and Python for data analysis and price setting.
Candidates should have 1-2 years of experience in relevant fields such as Insurance, Financial Services, or Retail, along with a strong numerate degree.
The role offers a competitive salary, although the exact figure is not specified in the 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 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.

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