National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Senior Pricing Data Scientist (Retail Pricing)

Marshmallow
London
1 week ago
Create job alert

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.
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 sits within the Pricing Team, reporting to the Head of Retail Pricing. The team’s primary focus is on optimising broker profitability whilst hitting our ambitious 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

Conduct price optimisation analysis and modelling 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 experience is desirable, but not required.

Perks of the job

Hybrid working - Spend 3 days a week with your team in our collaborative London office
Competitive bonus scheme - designed to reward and recognise high-performance
Flexible benefits budget - £50 per month to spend on a Ben Mastercard meaning you get your own benefits budget to spend on things you want. Whether that’s subscriptions, night classes (puppy yoga, anyone?), the big shop or a forest of houseplants. Pretty much anything goes
Sabbatical Leave - Get a 4-week fully paid sabbatical after being with us for 4 years
Work From Anywhere - 4 weeks of work from anywhere to use, with no need to come to the office
Mental wellbeing support – Access therapy and mental health sessions through Oliva
Learning and development – Personal budgets for books and training courses to help you grow in your role. Plus 2 days a year - on us! - to further your skillset
Private health care - Enjoy all the benefits Vitality has to offer, including reduced gym memberships and discounts on smartwatches
Medical cash plan - To help you with the costs of dental, optical and physio (plus more!)
Tech scheme - Get the latest tech for less

Plus all the rest; 33 days holiday, pension, cycle-to-work scheme, monthly team socials and company-wide socials every month!

Our Process

We Break It Up Into 4 Stages

Initial screening call with a member of the TA team
An interview with the Head of 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.

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.
Seniority level

Seniority level Mid-Senior level
Employment type

Employment type Full-time
Job function

Job function Engineering and Information Technology
Industries Hospitals and Health Care, Non-profit Organizations, and Government Administration
Referrals increase your chances of interviewing at Marshmallow by 2x
Sign in to set job alerts for “Senior Data Scientist” roles.

Deputy Director, Data Engineering, Data Science and AI

London, England, United Kingdom 1 week ago
London, England, United Kingdom 2 weeks ago
London, England, United Kingdom 3 hours ago
London, England, United Kingdom 2 months ago
EMEA ML Practice - Sr. Data Science Manager

London, England, United Kingdom 1 week ago
London, England, United Kingdom 4 hours ago
Machine Learning Scientists and Engineers: AI for Quantum

London, England, United Kingdom 4 weeks ago
EMEA ML Practice - Sr. Data Science Manager

Greater London, England, United Kingdom 1 week ago
London, England, United Kingdom 5 days ago
London, England, United Kingdom 1 week ago
City Of London, England, United Kingdom 3 weeks ago
Senior Marketing Data Scientist - Strategic Growth Partner

London, England, United Kingdom 2 weeks ago
SVP/Senior Director of Data Science - GenAI (relocate to UAE, tax free)

Research Scientist (Quantum Chemistry and Machine Learning), London

London, England, United Kingdom 5 days ago
London, England, United Kingdom 5 days ago
London, England, United Kingdom 2 weeks ago
London, England, United Kingdom 2 months ago
London, England, United Kingdom 23 hours ago
London, England, United Kingdom 3 days ago
Quantitative Researcher (Machine Learning)

London, England, United Kingdom 3 months ago
London, England, United Kingdom 3 hours ago
Machine Learning Scientist III (Meta bidding)

London, England, United Kingdom 1 week ago
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

#J-18808-Ljbffr

Related Jobs

View all jobs

Senior Pricing Data Scientist

Senior Pricing Data Scientist

Senior Pricing Data Scientist

Senior Pricing Data Scientist | London, UK

Data Scientist (Pricing)

Data Scientist (Pricing)

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Data Science Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide—refreshed every quarter—so you always know who’s really expanding their data‑science teams. Budgets for predictive analytics, GenAI pilots & real‑time decision engines keep climbing in 2025. The UK’s National AI Strategy, tax relief for R&D & a sharp rise in cloud adoption mean employers need applied scientists, ML engineers, experiment designers, causal‑inference specialists & analytics leaders—right now. Below you’ll find 50 organisations that have advertised UK‑based data‑science vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the kind of employer—& culture—that suits you. For every company you’ll see: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, mission, culture) Search any employer on DataScience‑Jobs.co.uk to view current ads, or set up a free alert so fresh openings land straight in your inbox.

Return-to-Work Pathways: Relaunch Your Data Science Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like stepping into a whole new world—especially in a dynamic field like data science. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s data science sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve gained and provide mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for data science talent in the UK Leverage your organisational, communication and analytical skills in data science roles Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to data science Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to data science Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a data analyst, machine learning engineer, data visualisation specialist or data science manager, this article will map out the steps and resources you need to reignite your data science career.

LinkedIn Profile Checklist for Data Science Jobs: 10 Tweaks to Elevate Recruiter Engagement

Data science recruiters often sift through dozens of profiles to find candidates skilled in Python, machine learning, statistical modelling and data visualisation—sometimes before roles even open. A generic LinkedIn profile won’t suffice in this data-driven era. This step-by-step LinkedIn for data science jobs checklist outlines ten targeted tweaks to elevate recruiter engagement. Whether you’re an aspiring junior data scientist, a specialist in MLOps, or a seasoned analytics leader, these optimisations will sharpen your profile’s search relevance and demonstrate your analytical impact.