Engineer the Quantum RevolutionYour expertise can help us shape the future of quantum computing at Oxford Ionics.

View Open Roles

Senior Pricing Data Scientist

eFinancialCareers
Greater London
1 week ago
Create job alert

Senior Pricing Data ScientistAbout 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 Sciencemunity on modelling customer behaviour, fraud & MLENG enhancements. We know first hand what a powerfulbination 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 ourpetitors.

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. 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 rmend 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 sciencemunity 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 : 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 canmunicateplicated 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 (ideallymercial) 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 ( 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 ourpany mission. To do that, we'remitted 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. Job ID xT7i83g97jeC

Related Jobs

View all jobs

Senior Risk Data Scientist

Senior Risk Data Scientist

Senior Commercial Data Scientist – Optimisation

Senior Data Scientist - Home Insurance

Senior Data Scientist

Senior Data Scientist - London

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.

Seasonal Hiring Peaks for Data Science Jobs: The Best Months to Apply & Why

The UK's data science sector has matured into one of Europe's most intellectually rewarding and financially attractive technology markets, with roles spanning from junior data analysts to principal data scientists and heads of artificial intelligence. With data science positions commanding salaries from £30,000 for graduate data analysts to £140,000+ for senior principal scientists, understanding when organisations actively recruit can dramatically accelerate your career progression in this intellectually stimulating and rapidly evolving field. Unlike traditional analytical roles, data science hiring follows distinct patterns influenced by business intelligence cycles, research funding schedules, and machine learning project timelines. The sector's unique combination of mathematical rigour, business impact requirements, and cutting-edge technology adoption creates predictable hiring windows that strategic professionals can leverage to advance their careers in extracting insights from tomorrow's data. This comprehensive guide explores the optimal timing for data science job applications in the UK, examining how enterprise analytics strategies, academic research cycles, and artificial intelligence initiatives influence recruitment patterns, and why strategic timing can determine whether you join a pioneering AI research team or miss the opportunity to develop the next generation of intelligent systems.

Pre-Employment Checks for Data Science Jobs: DBS, References & Right-to-Work and more Explained

Pre-employment screening in data science reflects the discipline's unique position at the intersection of statistical analysis, machine learning innovation, and strategic business intelligence. Data scientists often have privileged access to comprehensive datasets, proprietary algorithms, and business-critical insights that form the foundation of organisational strategy and competitive positioning. The data science industry operates within complex regulatory frameworks spanning GDPR, sector-specific data protection requirements, and emerging AI governance regulations. Data scientists must demonstrate not only technical competence in statistical modelling and machine learning but also deep understanding of research ethics, data privacy principles, and the societal implications of algorithmic decision-making. Modern data science roles frequently involve analysing personally identifiable information, financial data, healthcare records, and sensitive business intelligence across multiple jurisdictions and regulatory frameworks simultaneously. The combination of analytical privilege, predictive capabilities, and strategic influence makes thorough candidate verification essential for maintaining compliance, security, and public trust in data-driven insights and automated systems.

Why Now Is the Perfect Time to Launch Your Career in Data Science: The UK's Analytics Revolution

The United Kingdom stands at the forefront of a data science revolution that's reshaping how businesses make decisions, governments craft policies, and society tackles its greatest challenges. From the machine learning algorithms powering London's fintech innovation to the predictive models guiding Manchester's smart city initiatives, Britain's transformation into a data-driven economy has created an unprecedented demand for skilled data scientists that far outstrips the available talent. If you've been contemplating a career transition or seeking to position yourself at the cutting edge of the digital economy, data science represents one of the most intellectually stimulating, financially rewarding, and socially impactful career paths available today. The convergence of big data maturation, artificial intelligence mainstream adoption, business intelligence evolution, and cross-industry digital transformation has created the perfect conditions for data science career success.