Lead Pricing Data Scientist, Renewals

at  Marshmallow

ABOUT MARSHMALLOW

We started Marshmallow when we found out how unfair insurance prices are for people who move to the UK. All because the industry hasn’t given this huge cohort of people a second’s thought, and isn’t set up to price them properly.
We saw an opportunity to do things differently, so we made it our mission to back the ones who step outside the norm. Since we started, we’ve helped 100,000s of people get a fairer deal on their car insurance. Using technology, we serve people that are often overlooked by financial services companies, solving important problems for people who need it most.
We know there are millions of marginalised customers out there. And we know that they face unique problems that most companies aren’t even aware of. We believe that our future is helping these people by learning about their experiences, and building our company around their needs. And there are strong signs that there’s a need for a company like us. Earlier this year we hit profitability, which is a huge milestone, but the most exciting thing is that we’re only just getting started.

• Develop 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.
• Owning one of the strategic initiatives of the pricing team, such as supporting our expansion plans or protecting our renewing customers.
• Communicating & getting buy-in for your plans to heads of & directors cross-functionally.
• 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.
• Working with other members of pricing to recommend changes and monitor their impact.
• 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 & ML ENG functions to implement pricing proposals.
• Providing analytical support in relationships with reinsurers, regulators and other partners.
• Working within the wider data science community on longer-term R&D projects.
• Providing pricing support for the launch of multiple new products.
• Potential to manage a small team of pricing analysts & pricing data scientists, overseeing both the technical aspects of their work as well as their career development.