About the Role
London (hybrid, 3 days in office)
Pricing at Marshmallow
This role will sit in the Pricing Team, reporting into the Pricing Data Science Manager. The team is responsible for managing our loss ratio, underwriting footprint, broker optimisation and growth targets, proving integral to driving the business forwards.
We work in a very different way to most pricing teams that you might be familiar with. Everyone in Pricing has the potential to make significant contribution to the business, taking ownership, moving fast, innovating and delivering changes to our rates at high frequency. We don't just churn out GLMs all day. We build & deploy exceptional in-house pricing data science models using the latest modelling techniques. You'll work alongside other Pricing Data Scientists & Analysts pushing innovative pricing projects, whilst also being able to work with the wider Data Science community on modelling customer behaviour, fraud & MLENG enhancements.
We work alongside a bunch of amazing engineers who ensure we can implement our decisions quickly. We also have access to huge amounts of data — not just standard policy, claims and quote data. Our engineers spend their lives building APIs to third parties so that we know more about our customers than any of our competitors. All of this means that you'll have access to as much data as you can handle, the freedom to be creative, the backing of senior leaders to make decisions, and the ability to see your ideas implemented rapidly.
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
•Proactive: You drive growth by identifying & delivering new opportunities
•Modeller: You use your DS expertise to build innovative best in class models
•Commercial: You directly use your models as tools to deliver timely real world impact
•Curious: You aren't satisfied with 'That's just how it is'; you immediately investigate further
•Owner: You don't just pull existing levers - you own end to end transformation in your area
•Opinionated: You generate your own opinions & pitch to others in an open & honest way
•Explainer: You can communicate complicated concepts in a simple way to non-experts
•Networker: You build and maintain strong relationships throughout the business
•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 and 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
•We are not able to offer visa sponsorship for this position
Our Process
1.Initial call with a member from our Talent Team (30 mins)
2.Combined Past Experience & Technical interview (90 mins)
3.Onsite Culture interviews (90 mins)
