Data Scientist Pricing

ZipRecruiter; London; On-site; GBP 40,000 - 70,000; Full time

Job summary

An innovative Insurtech company is on the lookout for a Data Scientist to join their dynamic pricing team. This role offers the opportunity to build and maintain predictive models that directly influence pricing strategies and enhance customer experiences. You will collaborate closely with analysts and stakeholders, utilizing your skills in Python and SQL to drive data-driven decisions. The company values flexibility, allowing for a largely remote work setup while being part of a growing team. If you're passionate about data science and eager to make a tangible impact in a fast-paced environment, this is the perfect opportunity for you.

Qualifications

• 1-2 years of experience in a fast-paced analytical role.
• Strong numerate degree in relevant fields or equivalent experience.

Responsibilities

• Build and maintain predictive models to impact pricing and customer experience.
• Collaborate with stakeholders to provide actionable insights for pricing strategies.

Skills

Data Analysis

Statistical Modeling

Data Manipulation

Collaboration

Education

Degree in Data Science

Degree in Mathematics

Degree in Physics

Degree in Engineering

Tools

Python

SQL

Excel

PowerBI

Tableau

Job description

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, they 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.