Senior Pricing Data Scientist

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

Job summary

A forward-thinking financial services company is seeking a Data Scientist to join their Pricing Team. This role involves conducting price optimisation analysis, setting trading strategies, and collaboratively working with various teams. The ideal candidate will have at least 3 years of data science experience and strong skills in SQL and Python. Join us to innovate and drive impactful pricing decisions in a dynamic environment.

Benefits

Dynamic team environment

Professional development opportunities

Qualifications

• Ability to interrogate data and conduct pricing analysis within SQL & Python.
• At least 3 years of data science experience in a commercial environment.
• Desirable: Insurance & direct to consumer experience.

Responsibilities

• Set the trading strategy with direct channel owners.
• Conduct price optimisation analysis and modeling using Python.
• Build and deploy models via APIs for real-time pricing decisions.

Skills

Data interrogation

Pricing analysis in SQL

Building GBMs in Python

Commercial data science

Insurance experience

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 sits within the Pricing Team, reporting to the Retail Pricing lead. The team’s primary focus is on optimising broker profitability whilst hitting our ambitious growth targets, with the role focused on our Direct channels. 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. In addition to all of that, (in our opinion) we’re a pretty fun group to hang around with! 🎉

What you’ll be doing 📈

• Working with direct channel commercial owners to set the trading strategy
• Working with marketing, product and engineering to influence product mix
• Conduct price optimisation analysis and modeling using Python
• Develop a deep understanding of Marshmallow’s quote, policy, and market data, leveraging insights to drive improvements.
• Effectively communicate and gain buy-in for pricing initiatives from senior stakeholders, including heads of departments and directors.
• Build and deploy models via APIs for real-time pricing decisions.
• Collaborate with the wider pricing team to recommend, implement, and monitor pricing changes, ensuring continuous improvement.
• Identify and evaluate new external data sources to refine our market understanding and enhance pricing accuracy.
• Work closely with Engineering and ML Engineering teams to implement our pricing strategies efficiently.
• Engage with the wider data science community on long-term R&D projects that drive innovation in pricing.

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
• Ability to build GBMs and other conversion/demand models within Python
• At least 3 years of data science experience in a commercial environment
• Insurance & direct to consumer experience is desirable, but not required.

Our Process 🤝

We break it up into 3 stages:

• Initial screening call with a member of the TA team
• An interview with the Lead Pricing data scientist in retail pricing and another member of the pricing team. The purpose of this interview is to assess your background, experience, and technical expertise (90 minutes)
• 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.

Background checks

To meet our regulatory obligations as an FCA-authorised financial services company, we need to do some background checks on all new hires. That means carrying out a DBS check and making sure you don't have any live criminal proceedings. 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.