Pricing Data Scientist

The role

You will develop insights from quote, policy, and claims data to enhance pricing. You will build and deploy models in APIs and conduct claims and price optimisation analysis using SQL and Python.

What you will do

• Develop a deep understanding of quote, policy and claims data to derive insights for pricing.
• Own strategic initiatives of the pricing team.
• Conduct claims analysis and claims modelling using SQL and Python.
• Conduct price optimisation analysis/modelling using Python.
• Build and deploy models in APIs for use in real time pricing.
• Identify new sources of external data to refine claims risk view and quantify value.
• Work with Engineering and MLENG functions to implement pricing proposals.
• Provide pricing support for the launch of multiple new products.

Required qualifications

• Ability to interrogate data and conduct pricing analysis within SQL and Python/R
• Ability to build GLMs, GBMs and other claims models within Python/R
• Experience working in a data driven (ideally commercial) role (quant, credit, fraud etc)

Benefits

• Bonus scheme designed to reward high performance
• Private medical insurance with Vitality
• Mental health support with Oliva
• Personal learning budget
• 2 dedicated L&D days a year
• Monthly flexible benefits budget
• 25 days holiday plus bank holidays
• 4 weeks Work From Anywhere per year

Before you apply

• We are not able to offer visa sponsorship for this position.

About the company

Marshmallow has grown from 3 to 700+ people since 2017 and has gained unicorn status. The company aims to become one of the largest financial services providers in the world.