Marshmallow

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. Explore our Culture Handbook to find out more. Move our mission, and your career, forward. Data Science at Marshmallow Our Data Science team partners across the business to turn data into better decisions, smarter products, and simpler customer journeys. We work closely with Product, Engineering, and Operations to build and ship models and AI systems that are reliable in production and deliver measurable impact. Within Data Science, this role sits in Claims, supporting Claims Fraud and the broader ambition to automate more of the claims journey. Claims is one of Marshmallow's most important customer touchpoints, and we're looking for a Principal Data Scientist who can provide technical leadership across traditional ML and Generative AI, bring system-level thinking to how we scale decisioning, and confidently challenge proposals to ensure we build robust, sustainable solutions. What you'll be doing Provide technical leadership for data science across Claims Fraud, shaping the approach to risk decisioning and fraud detection in partnership with Product and Engineering Design, build and iterate on production ML and Generative AI/LLM systems that support claims validation and automation Collaborate closely with other Claims data scientists to bring system-level thinking to how models, data and workflows fit together, identifying architectural improvements needed to scale decisioning and reduce time-to-production Be vocal about the platform and tooling investments needed (monitoring, feedback loops, QA) to achieve AI-driven end to end claims automation Advocate for robust, scalable, and strategically aligned technical solutions in cross-functional discussions, ensuring current systems and infrastructure contribute to the multi-year vision for automated claims handling Set a high bar for statistical rigour, experimentation and measurement, helping improve how Claims performance and uncertainty are understood and communicated to senior stakeholders Who You Are You think in systems: you can connect the dots between data science, engineering, and product to shape scalable solutions that build on each other over time. You're confident in challenging assumptions and pushing for the right approach, using strong communication skills to influence stakeholders across seniority levels and disciplines with clear, pragmatic reasoning. You thrive in ambiguity and change, staying resilient and effective during transitions while bringing structure, clarity, and momentum to complex problem spaces. You're motivated by real-world impact, partnering closely with cross functional teams to drive meaningful automation and better customer outcomes across the claims journey. What You'll Bring Significant commercial experience delivering end-to-end Machine Learning solutions, from problem framing and experimentation through to production deployment and ongoing monitoring Hands on experience building and shipping Generative AI systems in production (not just prototypes), including evaluation, safety/quality considerations, and integration into customer or operational workflows Strong statistical and modelling foundation, with experience in risk-based decisioning under uncertainty (e.g., fraud, credit, insurance, or other regulated domains) Proven ability to influence technical direction across Data Science and Engineering, including shaping scalable model/service integration patterns and challenging proposals to drive robust, long term solutions Strong stakeholder management skills, with confidence communicating trade offs and pushing back constructively with Product and Engineering to ensure high quality outcomes Perks of the job Flexible working : Spend three days a week with your team in our collaborative London office, and own your own working hours. The rest is up to you. 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, the big shop or a forest of houseplants. Pretty much anything goes. 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 (including bank holidays), pension, cycle to work scheme, monthly team socials and company wide socials every month! We are able to offer sponsorship and/or a visa 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 interview with a couple of the team (60 mins) Technical interview with a couple of the team (60 mins) Culture interview (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.

(Hybrid - 3 days a week in our London Office) Engineering at Marshmallow Our engineers are at the heart of the solutions. They work on product builds from start to finish, solving lots of challenges to help us build fast, and scale up! Our engineers cover a range of skills across frontend, backend, full stack, iOS and Android, and work alongside designers, data scientists, researchers and product managers within our product teams. Our product teams include: the Renewals team, Telematics team and the Claims team (to name a few!) Each team sets its own roadmap and QBRs, and actively pushes our codebase forward. Learn more about our teams and how our engineers work here! The team you'd be joining We're looking for a driven and curious senior Android engineer to join the New Financial Products Team as we embark on one of Marshmallow's most ambitious chapters. In 2026, the team is focused on transforming Marshmallow from a car insurance and car finance provider into a high engagement financial companion for migrants in the UK - and your work will sit at the heart of that mission. This role directly supports our foundational strategic pillar for 2026: building the product and data capabilities that will unlock multi product growth, deeper customer understanding, and new revenue streams over time. What you'll be doing Join a team operating in new territory for Marshmallow. You'll help define what to build, pivot when priorities shift, and take initiative without waiting to be asked Own significant parts of our Android codebase end-to-end, establishing yourself as the go-to expert for core components and systems while actively raising the technical bar for those around you Shape how we build, not just what we build. You'll partner with engineering and product leadership to define the technical roadmap and influence architectural decisions that will underpin Marshmallow's next chapter Design and ship high quality Android solutions using modern practices (Jetpack Compose, MVVM/MVI, Kotlin Coroutines, robust CI/CD) - embracing AI tooling to accelerate development, and writing code that is simple, well tested, and built to scale Lead medium to large projects across multiple engineers, breaking ambiguous problems into clear milestones and driving delivery with the kind of ownership that others can depend on Drive improvements to tooling, processes, and engineering culture proactively, using data to cut through ambiguity and making the team measurably faster and higher quality over time Who are you You thrive under pace and know how to make smart trade offs. You weigh up risk, cut through noise, and keep delivery moving without sacrificing quality You don't wait for problems to come to you. You spot them early, solve them proactively, and bring others along with you You embrace change and actively seek out new tools and approaches to raise the quality and pace of what your team ships You build trusted relationships naturally, working across product, design, and backend teams with a collaborative mindset and a shared sense of ownership over outcomes You bring your engineering perspective into product conversations, using technical insight to challenge assumptions, spot opportunities, and help shape decisions before they become requirements What we're looking for from you Strong commercial Android development experience, with a strong command of Kotlin and hands on experience with Jetpack Compose and Kotlin Coroutines A track record of shipping high quality apps to the App Store and Google Play Store Experience working in cross functional teams alongside product, design, and fellow engineers to align on objectives and drive outcomes A commitment to writing maintainable, well tested code that enables safe and efficient development practices Collaborates with designers and Product Managers early and often to influence how ideas take shape, ensuring decisions are grounded in real world mobile constraints and user experience. Our Tech Stack All new features are built in Kotlin, Jetpack Compose and Coroutines Access to Claude Code to help engineers move faster on boilerplate, debugging, and code review. Code is organised into local Gradle feature modules to help keep it maintainable and scalable. We use automation as much as possible when it comes to testing our app, writing unit tests for business logic, snapshot tests for UI and automated UI tests for user interaction. Our continuous integration tool of choice is Bitrise We review each other's code using GitHub and automate as much of our code styling as possible using tools like lint and detekt. We are committed to fostering the professional growth of our team members and are open to coaching Android engineers who are interested in expanding their skill sets in backend or full stack technologies. We believe in providing a supportive environment where continuous learning is encouraged, and we are happy to facilitate training and mentorship opportunities to help you achieve your career goals. 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 Our process Initial call with a member from our Talent Team (30 mins) Past Experience interview with Hiring Manager & GM of New Financial Products (30-45 mins) Android technical skills case study and interview with a couple of the team (120 mins) Culture interview (60 mins) 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 individual feedback on each application. 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.

Marshmallow is looking for an experienced Senior Android Engineer to join our hybrid team in London. You'll be instrumental in transforming our services into a high-engagement financial companion for migrants in the UK, leading technical decisions and guiding the product's growth. This role involves taking ownership of the Android codebase, collaborating with cross-functional teams, and continuously improving our development practices. You'll enjoy a supportive culture that promotes learning and mentorship.

Pricing at Marshmallow 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! 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. Communicating & getting buy in for your plans to heads of & directors cross functionally. 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 recommend 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 science community 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 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/R Ability to build GLMs, GBMs and other claims models within Python/R At least 3 years of experience working in a data driven (ideally commercial) role Perks of the job Flexible working: Spend 2-3 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. 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; 25 days holiday, pension, cycle to work scheme, monthly team socials and company wide socials every month! We are able to offer visa sponsorship for this position. 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.

Marshmallow is looking for an experienced Claims Manager to oversee Third Party Property Damage and Credit Hire claims in Greater London. In this role, you will be responsible for managing claims efficiently, communicating with policyholders empathetically, and investigating the claims process thoroughly. The ideal candidate will have strong experience in claims management and a customer-focused mindset. You'll enjoy perks like a bonus scheme, private medical insurance, and 25 days of holiday a year.

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. About the team The Settlement team manages third party damage and credit hire claims and plays a key role in delivering fair, efficient and commercially sound outcomes. We work closely with policyholders, witnesses, third party insurers and wider claims teams to resolve cases quickly and make sharper decisions for customers. Day to day, the team investigates claims, assesses liability and indemnity, and keeps cases moving with clear communication and strong judgement. It's a team built for people who want more autonomy, more pace and more opportunity to improve how claims work. What you'll be doing Manage a portfolio of Third Party Property Damage (TPPD) and Credit Hire claims, progressing them efficiently in line with our processes Triage and manage inbound communications effectively, routing work to support timely claim resolution Investigate claims and assess liability and indemnity with policyholders, witnesses and third parties to identify recovery opportunities and make sound decisions Keep policyholders informed with clear, empathetic communication throughout their claim journey Set and maintain claim reserves and process payments in line with our reserving approach Identify intervention opportunities, refer to specialist suppliers, escalatea potential fraud or complaints, and support team administration Your expertise Experience handling Third Party Property Damage and Credit Hire claims. Experience assessing liability and indemnity to make accurate claim decisions. Experience setting and maintaining reserves and processing payments against agreed reserves. Experience managing claim communications and prioritising a varied caseload effectively. Who you are You balance commercial judgement with a customer-focused approach. You make decisions confidently and know when to escape for another view. You stay organised and prioritise well when managing multiple cases at pace. You look for better ways of working and support wider team goals, not just your own caseload. Perks & benefits 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 Our process Initial call with a member of our Talent Acquisition team, call, 30 minutes. Interview with two members of the Claims team, 1 hour. We review every application and will always let you know the outcome, though we're unable to provide individual feedback at application stage. 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. Data Science at Marshmallow Our Data Science team partners across the business to turn data into better decisions, smarter products, and simpler customer journeys. We work closely with Product, Engineering, and Operations to build and ship models and AI systems that are reliable in production and deliver measurable impact. Within Data Science, this role sits in Claims, supporting the function and the broader ambition to automate more of the claims journey. Claims is one of Marshmallow's most important customer touchpoints, and we're looking for a Staff Data Scientist who can provide technical leadership across traditional ML and Generative AI, bring system level thinking to how we scale decisioning, and confidently challenge proposals to ensure we build robust, sustainable solutions. What you'll be doing Provide technical leadership for data science across Claims Fraud, shaping the approach to risk decisioning and fraud detection in partnership with Product and Engineering. Design, build and iterate on production ML and Generative AI/LLM systems that support claims validation and automation. Collaborate closely with other Claims data scientists to bring system level thinking to how models, data and workflows fit together, identifying architectural improvements needed to scale decisioning and reduce time to production. Be vocal about the platform and tooling investments needed (monitoring, feedback loops, QA) to achieve AI driven end to end claims automation. Advocate for robust, scalable, and strategically aligned technical solutions in cross functional discussions, ensuring current systems and infrastructure contribute to the multi year vision for automated claims handling. Set a high bar for statistical rigour, experimentation and measurement, helping improve how Claims performance and uncertainty are understood and communicated to senior stakeholders. Who You Are You think in systems: you can connect the dots between data science, engineering, and product to shape scalable solutions that build on each other over time. You're confident in challenging assumptions and pushing for the right approach, using strong communication skills to influence stakeholders across seniority levels and disciplines with clear, pragmatic reasoning. You thrive in ambiguity and change, staying resilient and effective during transitions while bringing structure, clarity, and momentum to complex problem spaces. You're motivated by real world impact, partnering closely with cross functional teams to drive meaningful automation and better customer outcomes across the claims journey. What You'll Bring Significant commercial experience delivering end to end Machine Learning solutions, from problem framing and experimentation through to production deployment and ongoing monitoring. Hands on experience building and shipping Generative AI systems in production (not just prototypes), including evaluation, safety/quality considerations, and integration into customer or operational workflows. Strong statistical and modelling foundation, with experience in risk based decisioning under uncertainty (e.g., fraud, credit, insurance, or other regulated domains). Proven ability to influence technical direction across Data Science and Engineering, including shaping scalable model/service integration patterns and challenging proposals to drive robust, long term solutions. Strong stakeholder management skills, with confidence communicating trade offs and pushing back constructively with Product and Engineering to ensure high quality outcomes. Perks of the job Flexible working: Spend three days a week with your team in our collaborative London office, and own your own working hours. The rest is up to you. 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, the big shop or a forest of houseplants. Pretty much anything goes. 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. 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.

Marshmallow is seeking a Staff Data Scientist to lead technical efforts in Claims Fraud, focusing on creating automated claims solutions. This role requires extensive experience with Machine Learning and Generative AI systems, collaborating closely with teams across Product and Engineering. The successful candidate will bring a strong statistical background and the ability to drive impactful automation, ensuring high-quality outcomes in a flexible working environment.

Marshmallow is seeking a Technical Lead - Backend to lead a cross-functional team in building scalable customer flows and improving existing solutions. Candidates should have 8+ years of software engineering experience, including 2+ years in a lead role, strong expertise in microservices, and a commitment to mentoring. The position offers flexible working in London and a comprehensive benefits package including a sabbatical leave, wellness support, and a competitive bonus scheme.

London (hybrid, 3 days in office) Data Science at Marshmallow Our Data Science team partners across the business to turn data into better decisions, smarter products, and simpler customer journeys. We work closely with Product, Engineering, and Operations to build and ship models and AI systems that are reliable in production and deliver measurable impact. Within Data Science, this role sits in Claims, supporting the function and the broader ambition to automate more of the claims journey. Claims is one of Marshmallow's most important customer touchpoints, and we're looking for a Senior Data Scientist who can provide technical expertise across traditional ML and Generative AI, bring system-level thinking to how we scale decisioning, and confidently challenge proposals to ensure we build robust, sustainable solutions. What you'll be doing Build and iterate on multimodal AI models that reduce claims cost and improve claims processing, including models that analyse emails, documents, and claim summaries for operational teams Develop machine learning models that support claims automation, including use cases such as negotiation strategies, litigation strategies, and total loss prediction Explore and evaluate new data sources that could improve model performance and decision-making, such as fraud signals, open banking, and telematics data Design and build agentic AI solutions to automate and streamline claims workflows Collaborate closely with Product, Data, and Engineering teams to test hypotheses, develop new features, and turn ideas into production ready solutions Work with the MLOps team to improve data science and AI model infrastructure, including deployment, monitoring, evaluation, and feedback loops Help define the right technical approach for problems, balancing speed, quality, and scalability while ensuring solutions are practical for the business Set a strong standard for experimentation, measurement, and model performance, helping the team understand impact, uncertainty, and trade offs clearly Who You Are You think in systems: you can connect the dots between data science, engineering, and product to shape scalable solutions that build on each other over time. You're confident in challenging assumptions and pushing for the right approach, using strong communication skills to influence stakeholders across seniority levels and disciplines with clear, pragmatic reasoning. You thrive in ambiguity and change, staying resilient and effective during transitions while bringing structure, clarity, and momentum to complex problem spaces. You're motivated by real world impact, partnering closely with cross functional teams to drive meaningful automation and better customer outcomes across the claims journey. What You'll Bring Strong commercial experience delivering end to end machine learning solutions, from problem framing and experimentation through to production deployment and ongoing monitoring Hands on experience building and shipping production AI or machine learning systems, including evaluation, quality considerations, and integration into operational workflows Experience working on applied problems involving structured and unstructured data, with an interest in multimodal modelling and AI systems A strong statistical and modelling foundation, with experience working on risk based decisioning or other complex, uncertain problem domains Proven ability to work cross functionally with Product, Engineering, Operations, and MLOps to deliver scalable solutions Strong communication and stakeholder management skills, with confidence in discussing trade offs and pushing back constructively when needed 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) 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.

marshmallow is seeking a Senior Data Scientist to join our Data Science team in London. You will build and iterate on AI models to enhance claims processing and support the automation journey. Your expertise across machine learning and AI systems will drive impactful solutions in claims, working collaboratively with Product, Data, and Engineering teams. We offer a hybrid working environment, competitive benefits including a bonus scheme, private medical insurance, and a commitment to diversity.