Pricing Data Scientist

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 Head of Risk Pricing. 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 & ML Eng 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! 🎉

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• Develop a deep understanding of Marshmallow’s quote, policy, and claims data to derive insights that enhance pricing strategies.

  
  

• Contribute to key pricing initiatives, including expansion plans and customer retention efforts.

  
  

• Communicate analytical findings effectively to senior leaders and cross-functional teams.

  
  

• Conduct data analysis using SQL and Python to drive decision-making.

  
  

• Support the deployment of models in APIs for real-time pricing applications.

  
  

• Collaborate with pricing team members to recommend changes and track their impact.

  
  

• Assess new external data sources to refine claims risk evaluation and quantify their value.

  
  

• Work closely with Engineering and ML Engineering teams to implement pricing strategies.

  
  

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• Proactive: You want to drive growth by identifying new opportunities.

  
  

• Technical: You aren’t afraid to learn new skills across Data Science & Insurance.

  
  

• Commercial: You want to deliver real world impact, not report on it.

  
  

• Curious: You aren’t satisfied with ‘That’s just how it is’; you immediately investigate further.

  
  

• 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.

  
  

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• Ability to interrogate data and conduct pricing analysis within SQL & Python.

  
  

• Ability to build GLMs, GBMs and other models within Python.

  
  

• Prior experience in a data science role or STEM degree.

  
  

We break it up into 3 stages:

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• 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!

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.

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.