Lead Pricing Data Scientist

marshmallow; City Of London; On-site; GBP 50,000 - 70,000; Full time

Job summary

A leading technology company in London seeks a proactive individual to join its Pricing Team. The role involves developing pricing insights from complex data, contributing to strategic initiatives, and engaging with cross-functional teams. Ideal candidates will have 4+ years in data analysis, skill in Python/R and SQL, and excellent communication ability. The position offers autonomy within a supportive environment focused on innovation and data-driven decision-making.

Qualifications

• 4+ years of experience in a data-driven role, ideally in commercial or insurance.
• Ability to build GBMs, GLMs, and other claims models.
• Excellent communication skills to translate technical concepts.

Responsibilities

• Analyze pricing through data and provide insights for enhancements.
• Own strategic initiatives like claims modelling and API development.
• Work with engineers on pricing proposals and implement changes.

Skills

Data interrogation

Python/R

SQL

Stakeholder management

Claims modelling

Job description

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 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! 🎉

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, strengthening our claims modelling sophistication or developing our API architecture.

• Contributing to & upholding the design of our roadmap and culture across the Pricing & UW function.

• Communicating & getting buy‑in for your plans to heads of & directors cross‑functionally.

• Conducting claims analysis and claims modelling using Python and SQL.

• Conducting price optimisation and forecasting 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 & Machine Learning 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.

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

• Technical: You thrive working on APIs and alongside engineers to enact change

• 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 Python/R & SQL.

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

• At least 4 years of experience working in a data driven (ideally commercial or insurance) role

• Excellent stakeholder management and communication skills, with the ability to translate technical concepts into meaningful impact.

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 the Head of Risk Pricing + a senior team member (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.