Data Scientist (Pricing)

Arthur Recruitment; Greater London; Hybrid; GBP 60,000 - 90,000; Full time

Job summary

A growing Insurtech firm seeks a Data Scientist to join their pricing team in London. This role focuses on building and maintaining predictive models that enhance pricing strategies and customer experience. The ideal candidate will have experience in data analysis, strong skills in SQL and Python, along with a numerate degree. The firm offers the option for remote work, allowing flexibility in the work arrangement. If you're detail-oriented and driven, this opportunity may be for you.

Qualifications

• 1-2 years of experience as an analyst in Insurance or related industries.
• Strong degree in numerate discipline, preferably Data Science or Mathematics.
• Proficient in Python for data manipulation and analysis.

Responsibilities

• Build and maintain predictive models for retail pricing.
• Collaborate with Senior Pricing Analyst to improve price selection.
• Use SQL and Python for data analysis and price setting.
• Work with software developers to adapt pricing tools based on opportunities, with rapid results.

Skills

Data manipulation

SQL

Python

Data visualization

Education

Strong numerate degree (Data Science, Mathematics, Physics, Engineering)

Tools

PowerBI

Tableau

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 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.