At a glance
- Employment
- Full-time
- Workplace
- Hybrid
- Location
- London
- Visa sponsorship
- Visa sponsorship available
About the role
- The Pricing Data Scientist role sits in the Pricing Team, reporting into the Pricing Data Science Manager, and is responsible for managing the company's loss ratio, underwriting footprint, broker optimisation, and growth targets.
- This position involves building and deploying exceptional in-house pricing data science models using the latest modelling techniques, pushing innovative pricing projects, and working alongside the wider Data Science community on modelling customer behaviour, fraud, and machine learning engineering enhancements.
Responsibilities
- Developing a deep understanding of Marshmallow's quote, policy and claims data and use this to derive insights that can be used to enhance our pricing.
- Own one of the strategic initiatives of the pricing team, such as supporting our expansion plans or protecting our renewing customers.
- Conducting claims analysis and claims modelling using SQL and Python.
- Conducting price optimisation analysis/modelling using Python.
- Building and deploying models in APIs for use in real time pricing.
- Identify new sources of external data that enable us to refine our view of claims risk, and conduct analysis to quantify their value.
- Working directly with our Engineering & MLENG functions to implement pricing proposals.
- Providing pricing support for the launch of multiple new products.
Requirements
- Ability to interrogate data and conduct pricing analysis within SQL & 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 to spend as you choose
- 25 days holiday plus bank holidays
- 4 weeks Work From Anywhere per year
Workplace
- Hybrid working model with 2-3 days in office
Skills
- SQL
- Python
- R
- GLMs
- GBMs
