Senior Pricing Data Scientist

About Marshmallow

We exist to make migration easy.

A systemic problem of this magnitude requires a team of curious thinkers who relentlessly pursue solutions. Those who constantly challenge the why, dismantle assumptions, and always take action to build a better way.

A Marshmallow career is built on a cycle of continuous growth, with learning at its core. You will be challenged to raise the bar on your capabilities and supported with the right tools and guidance to do so. This ensures you can deliver impactful work and drive change.

If life at Marshmallow sounds like it could be for you, explore our Culture Handbook to find out more.

Move our mission, and your career, forward.

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. This means that the Pricing Team is integral to driving the business forwards. But you’ve probably read that all before! So what’s new?

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 a massive contribution to the business, so we all take ownership, move fast, innovate and deliver changes to our rates at high frequency.

A fantastic aspect of working at Marshmallow is that we have the backing of our senior leadership team to make decisions and take action autonomously. We’re the masters of our own destiny and we aren’t tied down with vast amounts of red tape! We analyse, implement, learn and iterate rate changes before most pricing teams have had their Shreddies. 🥣

You’ll also be excited to know that 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 their innovative pricing projects; whilst also being able to work with the wider Data Science community on modelling customer behaviour, fraud & MLENG enhancements. We know first hand what a powerful combination this is!

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. We don’t just mean your 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. And on top of all of that, we’re a pretty fun group to hang around with! 🎉

What you’ll be doing 📈

• 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.
• 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 & MLENG 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.
  
  

Who are you? 💡

• 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
  
  

What skills are we looking for from you? 🤹

• Ability to interrogate data and conduct pricing analysis within SQL & Python/R
• Ability to build GLMs, GBMs and other claims models within Python/R
• At least 3 years of experience working in a data driven (ideally commercial) role
  
  

Our Process 🤝

We Break It Up Into 3 Stages

• Initial screening call with a member of the TA team (30 mins)
• Past experience & technical discussion with a couple of the team (90 minutes)
• A culture interview with a senior stakeholder to check that your work style fits our processes and values, and vice versa (60 mins)
  
  

Background checks

As part of our commitment to maintaining a safe and trustworthy environment, we’ll carry out standard background checks, including a DBS and a Cifas check. These help ensure there are no ongoing criminal proceedings and support the prevention of fraud and other forms of serious misconduct. If anything of concern is identified, it may affect your eligibility for certain roles or services. Feel free to ask our Talent Acquisition team if you have any questions about this!

Everyone belongs at Marshmallow

At Marshmallow, we want to hire people from all walks of life with the passion and skills needed to help us achieve our company mission. To do that, we're committed to hiring without judgement, prejudice or bias.

We encourage everyone to apply for our open roles. Gender identity, race, ethnicity, sexual orientation, age or background does not affect how we process job applications.

We're working hard to build an inclusive culture that empowers our people to do their best work, have fun and feel that they belong.

Recruitment privacy policy

We take privacy seriously here at Marshmallow. Our Recruitment privacy notice explains how we process and handle your personal data. To find out more please view it here.