
Marshmallow · London
We’re on a mission to make migration easy. We started building Marshmallow in 2017. Since then, we’ve grown from 3 to 700+ people, gained unicorn status, rai...
We’re on a mission to make migration easy.
We started building Marshmallow in 2017. Since then, we’ve grown from 3 to 700+ people, gained unicorn status, raised ~£140M over
three funding rounds, turned profitable, insured millions of drivers and lent millions in car loans.
But we’re only just getting started. Our goal is to become one of the largest financial services providers in the world. Over the
next 10 years we’ll grow exponentially, not only by scaling our existing products, but also by building new ones.
To achieve our goals we need incredibly ambitious, commercially driven people who never settle for ‘good enough’. Marshmallowers
are hungry for autonomy and ownership, and would rather improve than coast. Everyone raises standards and has an impact, with a
focus on collective success over self-interest.
We’ve created an environment where curious, tenacious people win and grow together. If that sounds motivating, this could be the
place for you.
This role will sit in the Pricing Team, reporting into the Pricing Data Science Manager. The team is responsible for managing our
loss ratio, underwriting footprint, broker optimisation and growth targets, proving 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 significant contribution to the business, taking ownership, moving fast, innovating and delivering changes to our rates at
high frequency.
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 innovative pricing projects, whilst
also being able to work with the wider Data Science community on modelling customer behaviour, fraud & MLENG enhancements.
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!
to enhance our pricing.
customers.
value.
We are able to offer visa sponsorship for this position.
Diversity of thought
We know the best ideas come from having different perspectives in the room - and we're committed to hiring fairly, regardless of
background, identity or experience. If you see yourself in this role, we'd encourage you to apply.
We’re on a mission to make migration easy. We started building Marshmallow in 2017. Since then, we’ve grown from 3 to 700+ people, gained unicorn status, raised ~£140M over three funding rounds, turned profitable, insured millions of drivers and lent millions in car loans. But we’re only just getting started. Our goal is to become one of the largest financial services providers in the world. Over the next 10 years we’ll grow exponentially, not only by scaling our existing products, but also by building new ones. To achieve our goals we need incredibly ambitious, commercially driven people who never settle for ‘good enough’. Marshmallowers are hungry for autonomy and ownership, and would rather improve than coast. Everyone raises standards and has an impact, with a focus on collective success over self-interest. We’ve created an environment where curious, tenacious people win and grow together. If that sounds motivating, this could be the place for you. LONDON (HYBRID, 3 DAYS IN OFFICE) PRICING AT MARSHMALLOW The Pricing team shapes how we understand risk and make pricing decisions that support sustainable growth. It plays a critical role in Marshmallow’s ambition by protecting loss ratio performance and turning complex data into clear commercial action. We work closely with claims, finance, product and other teams, to build a holistic view of risk and keep our pricing approach effective as we scale. The team acts as a key bridge between technical analytics and business strategy, helping Marshmallow stay ahead of market conditions and make confident decisions, even where data is sparse or uncertain. The team works across modelling, business strategy and stakeholder communication. The challenge is balancing technical judgement with clear storytelling for very different audiences. It’s a team with high impact, high visibility and plenty of momentum. WHAT YOU'LL BE DOING * Owning Marshmallow’s loss ratio view across our portfolio to understand performance and recommend commercial actions, factoring in both internal drivers and wider market, and economic conditions. * Leading conversations with internal and external stakeholders on pricing performance and risk trends, translating analytical outputs into clear pricing and portfolio insights for non-technical stakeholders. * Managing and developing a small group of pricing data scientists while raising the quality of their work. * Driving cross-functional investigation into claims and risk signals with partners across the business. * Shaping how pricing data scientists are deployed across workstreams as the team’s operating model evolves. WHO YOU ARE * You’re commercially minded and enjoy connecting the dots between pricing decisions, financial outcomes and wider market conditions, not just the underlying data. * You’re comfortable using judgment in ambiguous situations, working with sparse or less credible data and making clear, well‑reasoned assumptions. * You’re naturally curious about why key metrics move, and you like to step back, challenge assumptions and tell a clear story behind trends and performance. * You collaborate easily with different teams (e.g. claims, finance, reserving) and communicate complex ideas in a concise, business-focused way. WHAT YOU'LL BRING * Experience as a data scientist and/or data science manager in a risk-focused domain such as pricing, credit decisioning or fraud. * Experience operating in commercially driven environments where performance metrics guide decisions. * Experience forming clear, commercially grounded views off the back of technical analysis and communicating these clearly to senior stakeholders. * Experience making sound decisions when data is incomplete or imperfect, and comfortable operating under genuine uncertainty. * A collaborative approach, working seamlessly with adjacent functions, to connect pricing insights to broader business performance. PERKS OF THE JOB * Bonus scheme designed to reward high performance * Private medical insurance with Vitality, mental health support with Oliva * Personal learning budget and 2 dedicated L&D days a year * Monthly flexible benefits budget to spend as you choose * 25 days holiday plus bank holidays * 4 weeks Work From Anywhere per year We are able to offer visa sponsorship for this position. OUR PROCESS * Initial call with a member from our Talent Team (30 mins) * Past Experience interview with Hiring Manager (60 mins) * Systems Design & Technical interview with a couple of the team (90 mins) * Culture interview (60 mins) Diversity of thought We know the best ideas come from having different perspectives in the room - and we're committed to hiring fairly, regardless of background, identity or experience. If you see yourself in this role, we'd encourage you to apply.
Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. You will work within a data focused function supporting researchers, traders and engineering teams across the firm. The role focuses on designing and developing datasets that support systematic strategies and trading decisions, while improving the robustness and scalability of data onboarding processes. You will collaborate closely with technical and business stakeholders to help accelerate the use of both traditional and alternative datasets. Your future role within QRT * Collaborate with quantitative researchers and traders to design datasets supporting systematic strategies and trading decisions * Develop code to extract, clean and aggregate data from a wide range of structured and unstructured sources * Build and maintain robust data pipelines covering sourcing, transformation and delivery workflows * Work with engineering teams to automate and optimise data extraction and processing systems * Investigate and resolve data related issues to reduce time to production * Evaluate and implement new approaches for data extraction and onboarding Your present skillset * 2 or more years of experience as a Data Scientist or in a similar data focused role working with financial market data * Experience within quantitative finance or buy side environments is beneficial * Strong understanding of financial markets and financial instruments * Postgraduate degree in Mathematics, Physics, Engineering or another quantitative discipline * Advanced Python programming skills, including experience with libraries such as Pandas and Polars * Proven experience building and managing end to end data pipelines * Experience working with both traditional and alternative datasets * Strong communication skills with the ability to collaborate across research, trading, engineering and external stakeholders * Ability to operate effectively in a fast paced environment QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.
ABOUT WHEELY Wheely is redefining premium transportation across major cities in Europe, the US, and the Middle East. We blend cutting-edge technology with the craft of five-star chauffeuring to deliver an experience trusted by more than 100,000 active riders and 1,200 corporate accounts. We’re a profitable, fast-growing scale-up with $43M raised and over $100M in annual revenue. Having recently launched in New York City, we’re expanding rapidly across the US and EMEA. If you take pride in your craft and want to help shape the next chapter of our growth, we'd love to hear from you. ABOUT THE ROLE We're hiring Associate Data Scientists with a background in Operations Research. You will own the entire process: from ideation and research through to production deployment. You'll join either our Pricing or Matching team, working alongside other Data Scientists and engineers on challenging, high-impact problems such as dynamic pricing and bipartite matching. RESPONSIBILITIES * Collaborate with engineers, Data Scientists, designers, and product managers to solve ambiguous problems * Research, prototype, and ship ML and optimisation models into production * Continuously improve existing algorithms and identify opportunities for new ones REQUIREMENTS * Master's or PhD in Operations Research, Mathematics, Management Science or a closely related field with a focus on optimisation * Strong foundation in mathematical optimisation or mathematical programming * Solid knowledge of probability & statistics * Excellent programming skills in Python and core ML tooling (e.g. SQL, PyTorch, etc.) NICE TO HAVE * Exposure to dynamic pricing, auction design, or marketplace matching problems WHAT WE OFFER * Office-based role in West London, four days a week with flexible start and finish times, plus one remote day of your choice * Salary: £50,000 – £70,000 * Employee stock options plan * Private medical and dental insurance * Life and critical illness cover * Latest-generation MacBook Pro and 4k display * Monthly credit towards Wheely journeys * Cycle to Work scheme * Professional development stipend All of your personal information will be collected stored and processed in accordance with Wheely’s Candidate Privacy Notice