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. 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 (puppy yoga, anyone?), 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) 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 here.
25/05/2026
Full time
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. 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 (puppy yoga, anyone?), 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) 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 here.
A leading tech company in Greater London seeks a Staff Data Scientist to provide technical leadership in Claims. Responsibilities include designing ML systems and fostering collaboration to enhance claims automation. The ideal candidate will have substantial experience in delivering Machine Learning solutions and building Generative AI systems in production. Join a dynamic team that prioritizes impact and cross-functional partnership. Competitive benefits and flexible working hours available.
25/05/2026
Full time
A leading tech company in Greater London seeks a Staff Data Scientist to provide technical leadership in Claims. Responsibilities include designing ML systems and fostering collaboration to enhance claims automation. The ideal candidate will have substantial experience in delivering Machine Learning solutions and building Generative AI systems in production. Join a dynamic team that prioritizes impact and cross-functional partnership. Competitive benefits and flexible working hours available.
What you'll be doing Own partner acquisition activity by identifying, reaching out to and engaging prospective dealers and brokers who are a strong fit for Marshmallow Run the sales journey end-to-end from initial outreach through to pitch conversations and successful sign-up Manage partner onboarding by progressing new partners through internal processes and helping them get to first payout as smoothly as possible Work closely with cross-functional teams including compliance, credit risk and legal to keep onboarding moving and remove blockers Maintain a high-volume, high-quality pipeline while balancing speed, attention to detail and partner experience Adapt with the business as processes, priorities and team needs evolve in a startup environment Who You Are You're proactive and resilient, and you enjoy the energy that comes with outbound business development and building momentum from scratch You communicate clearly and naturally, and can explain new concepts in a way that builds trust with a broad range of partners You're comfortable with ambiguity and motivated by working in an environment where things move quickly and change over time You're driven by impact and growth, and excited by the opportunity to help scale a new commercial function within the business What You'll Bring Around 2-3 years of career experience is likely to be a strong fit for the level and pace of this role Experience in a business development, sales or partner-facing role with clear exposure to outbound prospecting and managing a pipeline Confidence making high volumes of outbound calls, with the ability to consistently generate conversations and opportunities through phone-based outreach Experience owning or supporting onboarding journeys and coordinating stakeholders to move prospects through to go-live Previous experience in a tech scale-up or other fast-paced environment is preferred; automotive or motor finance experience is helpful but not essential We are not in a position to offer visa sponsorship for this role. Perks of the job Flexible working: Spend three 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! 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.
18/05/2026
Full time
What you'll be doing Own partner acquisition activity by identifying, reaching out to and engaging prospective dealers and brokers who are a strong fit for Marshmallow Run the sales journey end-to-end from initial outreach through to pitch conversations and successful sign-up Manage partner onboarding by progressing new partners through internal processes and helping them get to first payout as smoothly as possible Work closely with cross-functional teams including compliance, credit risk and legal to keep onboarding moving and remove blockers Maintain a high-volume, high-quality pipeline while balancing speed, attention to detail and partner experience Adapt with the business as processes, priorities and team needs evolve in a startup environment Who You Are You're proactive and resilient, and you enjoy the energy that comes with outbound business development and building momentum from scratch You communicate clearly and naturally, and can explain new concepts in a way that builds trust with a broad range of partners You're comfortable with ambiguity and motivated by working in an environment where things move quickly and change over time You're driven by impact and growth, and excited by the opportunity to help scale a new commercial function within the business What You'll Bring Around 2-3 years of career experience is likely to be a strong fit for the level and pace of this role Experience in a business development, sales or partner-facing role with clear exposure to outbound prospecting and managing a pipeline Confidence making high volumes of outbound calls, with the ability to consistently generate conversations and opportunities through phone-based outreach Experience owning or supporting onboarding journeys and coordinating stakeholders to move prospects through to go-live Previous experience in a tech scale-up or other fast-paced environment is preferred; automotive or motor finance experience is helpful but not essential We are not in a position to offer visa sponsorship for this role. Perks of the job Flexible working: Spend three 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! 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.
Marshmallow is looking for a Pricing Data Scientist to join their team in Greater London. This role involves developing insights from pricing data, optimizing pricing strategies, and working with engineering for real-time model deployment. Candidates should have solid SQL and Python skills and at least 3 years of experience in a data-driven role. The company offers a dynamic work environment, competitive bonuses, and excellent perks including flexible working and private health care.
16/05/2026
Full time
Marshmallow is looking for a Pricing Data Scientist to join their team in Greater London. This role involves developing insights from pricing data, optimizing pricing strategies, and working with engineering for real-time model deployment. Candidates should have solid SQL and Python skills and at least 3 years of experience in a data-driven role. The company offers a dynamic work environment, competitive bonuses, and excellent perks including flexible working and private health care.
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.
16/05/2026
Full time
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 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.
08/05/2026
Full time
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.
About the Growth Team The Growth team's mission is to bring Marshmallow motor insurance to as wide an audience as possible. We focus on ensuring coverage meets the needs of a broad range of UK drivers and clearly communicate the value of Marshmallow's offering to them, thereby growing our customer base, top line, and profitability. Please note we are not in a position to offer sponsorship and/or a visa for this position. Role We're looking for a Technical Lead - Backend to join our cross functional team of Engineers, Data Scientists, Data Analysts, Product Managers, and an Engineering Manager. What you'll be doing Lead engineers within a product team to build scalable, reliable, and fault tolerant customer flows, including mid term adjustments and cancellations. Manage and execute ambiguous technical solutions with appropriate urgency to deliver business impact. Create and promote efficiency and speed within the team by improving existing solutions and developing new ones. Partner with stakeholders to understand requirements and deliver functionality iteratively. Mentor engineers from Junior to Senior levels, supporting their development through feedback and growth opportunities. Originate and review architectural designs to meet Marshmallow's growing scale. Work closely with the Engineering Manager to champion and roadmap technical debt investment. What we're looking for from you 8+ years of software engineering experience. 2+ years of experience as a Technical Lead. Strong experience developing and scaling complex microservices systems. Previous experience identifying, analysing, and resolving system availability, reliability, and performance issues. Experience mentoring and guiding engineers across development levels. Strong expertise in an object oriented language, preferably Java, and a willingness to learn more. Perks of the job Flexible working: Spend 3 days a week with your team in our new collaborative London office. 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, with no office requirement. Competitive bonus scheme. Flexible benefits budget: £50 per month to spend on a personal benefits budget. Learning and development: Personal budget for books and training courses; 2 learning days a year. Mental wellbeing support: Access therapy and mental health sessions through Oliva. Private health care: Benefits through Vitality, including reduced gym membership and smartwatch discounts. Medical cash plan: Assistance with dental, optical, and physiotherapy costs. Tech scheme: Get the latest tech for less. Other benefits 33 days holiday (including bank holidays), pension, cycle to work scheme, monthly team socials and company wide socials every month. Our process Initial call with Tech Talent Acquisition team (30-45 minutes). Tech interview with two engineers focused on pair programming, systems design, and operational excellence (1 hour 30 minutes). Past experience and culture interview with an engineering manager, checking alignment with our mission and values (1 hour 30 minutes). Background checks We'll carry out standard background checks, including a DBS and a Cifas check. Diversity of thought We are committed to hiring fairly, regardless of background, identity or experience. If you see yourself in this role, we encourage you to apply.
05/05/2026
Full time
About the Growth Team The Growth team's mission is to bring Marshmallow motor insurance to as wide an audience as possible. We focus on ensuring coverage meets the needs of a broad range of UK drivers and clearly communicate the value of Marshmallow's offering to them, thereby growing our customer base, top line, and profitability. Please note we are not in a position to offer sponsorship and/or a visa for this position. Role We're looking for a Technical Lead - Backend to join our cross functional team of Engineers, Data Scientists, Data Analysts, Product Managers, and an Engineering Manager. What you'll be doing Lead engineers within a product team to build scalable, reliable, and fault tolerant customer flows, including mid term adjustments and cancellations. Manage and execute ambiguous technical solutions with appropriate urgency to deliver business impact. Create and promote efficiency and speed within the team by improving existing solutions and developing new ones. Partner with stakeholders to understand requirements and deliver functionality iteratively. Mentor engineers from Junior to Senior levels, supporting their development through feedback and growth opportunities. Originate and review architectural designs to meet Marshmallow's growing scale. Work closely with the Engineering Manager to champion and roadmap technical debt investment. What we're looking for from you 8+ years of software engineering experience. 2+ years of experience as a Technical Lead. Strong experience developing and scaling complex microservices systems. Previous experience identifying, analysing, and resolving system availability, reliability, and performance issues. Experience mentoring and guiding engineers across development levels. Strong expertise in an object oriented language, preferably Java, and a willingness to learn more. Perks of the job Flexible working: Spend 3 days a week with your team in our new collaborative London office. 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, with no office requirement. Competitive bonus scheme. Flexible benefits budget: £50 per month to spend on a personal benefits budget. Learning and development: Personal budget for books and training courses; 2 learning days a year. Mental wellbeing support: Access therapy and mental health sessions through Oliva. Private health care: Benefits through Vitality, including reduced gym membership and smartwatch discounts. Medical cash plan: Assistance with dental, optical, and physiotherapy costs. Tech scheme: Get the latest tech for less. Other benefits 33 days holiday (including bank holidays), pension, cycle to work scheme, monthly team socials and company wide socials every month. Our process Initial call with Tech Talent Acquisition team (30-45 minutes). Tech interview with two engineers focused on pair programming, systems design, and operational excellence (1 hour 30 minutes). Past experience and culture interview with an engineering manager, checking alignment with our mission and values (1 hour 30 minutes). Background checks We'll carry out standard background checks, including a DBS and a Cifas check. Diversity of thought We are committed to hiring fairly, regardless of background, identity or experience. If you see yourself in this role, we encourage you to apply.