Senior Pricing Data Scientist | London, UK

Marshmallow; London; On-site; GBP 50,000 - 80,000; Full time

Job summary

A leading financial technology company invites applications for a Pricing Analyst role to enhance their pricing through data insights and model deployment. You will report to the Head of Pricing, and your expertise in SQL and Python will be essential for the role. Join a team where you will drive impactful changes and contribute to innovative pricing strategies that improve customer experience.

Qualifications

• At least 3 years of experience in a data-driven role.
• Experience with SQL and Python/R for data analysis.
• Ability to build GLMs, GBMs and other claims models.

Responsibilities

• Develop a deep understanding of quote, policy and claims data.
• Conduct claims analysis and modelling using SQL and Python.
• Communicate and get buy-in for initiatives across teams.

Skills

Data interrogation

Pricing analysis

Communication

SQL

Python

Job description

About Marshmallow

We build financial products that accelerate the economic freedom for people who move across borders. We started with car insurance - insuring over a million drivers - and we're scaling beyond. Tens of millions of people move countries each year, facing overlooked financial challenges. Our future is in building financial products around their needs to positively impact their lives.

How we work

We're really proud of the culture we've created. We push for progress every day, because we know that we'll only hit big milestones by taking lots of smaller steps. We're always open to helping our team mates, sharing our ideas, experience and knowledge to solve problems together. We take risks, think creatively and experiment relentlessly to meet our customer's needs, and never pass blame when things go wrong. We encourage people at all levels to take ownership of their work, and to be bold in challenging how we do things. Everyone has a voice and the opportunity to make an impact.
And autonomy and ownership are only possible with clear direction. That's why we collaborate to do in-depth planning twice a year, and make sure we leave with clear goals and objectives that flow from top to bottom. To make sure we're as aligned as possible across functions, most of our work rolls up into three tribes; Acquisition, Retention & Claims. Each tribe has multiple teams embedded in it, working cross-functionally to do great work.
We're so excited for all of the challenges up ahead, and we need more people to help us tackle them! If life at Marshmallow sounds like it could be for you, explore our Culture Handbook to find out more.

Pricing at Marshmallow

This role will sit in the Pricing Team, reporting into the Head of 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 & 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
• Initial review of prior experience & technical questions with the Head of Pricing and a senior team member (1.5 hours)
• A culture interview with a senior stakeholder to check that your work style fits our processes and values (1 hour)

We'll let you know if you're invited to an interview or not. But, as a small team with a lot of applications to consider, we can't give personal feedback on each application.

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.

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