Definitely not a sweet shop.We're the tech company making insurance more accessible and more affordable for as many people as possible.We’re proud of our journey so far.
We’ve helped hundreds of thousands of customers get fairer cover, all while polishing a 4.5 star Trustpilot score.
But we’re just getting started.Over the next 2 years, we’re planning to help even more people by launching products and services across different sectors and countries 🚀Want to join us on our mission? Check out our live roles on Linkedin by clicking the jobs tab (see above ☝️) and on our careers page: https://www.marshmallow.com/jobsAnd since you're exploring, why not read our reviews over on Glassdoor? https://bit.ly/3iVHfxf

Marshmallow

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analytics-engineer

Definitely not a sweet shop.We're the tech company making insurance more accessible and more affordable for as many people as possible.We’re proud of our journey so far. We’ve helped hundreds of thousands of customers get fairer cover, all while polishing a 4.5 star Trustpilot score. But we’re just getting started.Over the next 2 years, we’re planning to help even more people by launching products and services across different sectors and countries 🚀Want to join us on our mission? Check out our live roles on Linkedin by clicking the jobs tab (see above ☝️) and on our careers page: https://www.marshmallow.com/jobsAnd since you're exploring, why not read our reviews over on Glassdoor? https://bit.ly/3iVHfxf

• Build for a Multi-Product World
• Data Modelling at Scale: Design and maintain scalable, reliable data models that support multiple products and customer journeys, ensuring consistency across insurance, payments, retention, claims, fraud, and upcoming new products like car finance.
• Cross-Domain Collaboration: Partner with product, operations, fraud, claims, retention, and growth teams to design datasets that drive real-time decisions, personalisation, and pricing optimisation for each product line.
• Collaboratively Set Standards
• Champion Modern Best Practices: Act as the subject matter expert for DBT, Snowflake, and Looker, setting the gold standard for how multi-product data models are built, tested, and optimised.
• Coach Across the Business: Enable analysts, scientists, and engineers to self-serve effectively by building curated data layers and reusable tools.
• Enable Fast, Autonomous Growth
• Optimise for Speed and Cost: Tune our data platform to deliver faster queries, lower cloud costs, and seamless onboarding of new products — key to enabling rapid product experimentation and scale.
• Data as a Product: Treat our data models as products themselves — reliable, observable, and optimised for customer impact across insurance, payments, loyalty, and future offerings.
• Solve Hard Problems
• Own the Full Stack: Gain deep expertise in the full data platform (AWS, Snowflake, DBT, Looker, orchestration frameworks) to deliver safe, reliable solutions at pace.
• Automation & Efficiency: Build with a bias towards automation and reusability, essential for scaling multiple product lines without a linear increase in complexity or cost.

Analytics Engineer

Analytics Engineer creating scalable data models to support multiple products at Marshmallow. Collaborating across teams to enhance data-driven decision-making and optimize product offerings.

data-scientist

• Provide customer support via phone, email, and chat
• Resolve customer inquiries and technical issues
• Maintain accurate customer records in CRM system
• Collaborate with internal teams to escalate complex issues

Lead Pricing Data Scientist

Customer Support Representative handling UK customer inquiries via phone, email, and chat. Resolving technical issues and maintaining customer records in CRM system with UK business hours.

• Develop a deep understanding of Marshmallow’s quote, policy, and claims data to derive insights that enhance pricing strategies.
• Contribute to key pricing initiatives, including expansion plans and customer retention efforts.
• Communicate analytical findings effectively to senior leaders and cross-functional teams.
• Conduct data analysis using SQL and Python to drive decision-making.
• Support the deployment of models in APIs for real-time pricing applications.
• Collaborate with pricing team members to recommend changes and track their impact.
• Assess new external data sources to refine claims risk evaluation and quantify their value.
• Work closely with Engineering and ML Engineering teams to implement pricing strategies.

Pricing Data Scientist

Pricing Data Scientist at Marshmallow developing insights for pricing strategies using data analysis. Collaborating with teams to enhance pricing initiatives based on data-driven insights.

customer-support

• Providing real-time customer support via live chat, ensuring clear communication.
• Focusing on renewal-related inquiries during the first six months, helping customers understand and choose from their new policy options.
• After gaining deeper product and process knowledge, you will be trained to handle cancellation cases, where you will aim to understand customers’ reasons for leaving and proactively look for solutions to retain them.
• You’ll be handling live chat interactions, split into dedicated blocks to ensure time for follow-up, admin, and well-being breaks.
• You’ll be closely working together with your Team Leader to track performance, set goals, and receive coaching when additional support is needed.
• Your performance will be measured through Customer Satisfaction scores (CSAT), quality audits, and daily productivity metrics. You’ll also receive weekly insights into how many customers you successfully retained during cancellation conversations.
• You’ll receive comprehensive training on handling complaints and supporting vulnerable customers, with a strong focus on identifying and addressing concerns with empathy and professionalism.
• You’ll be actively collaborating with cross-functional teams including Claims, Fraud, Quality Assurance, and Knowledge Management, while also working alongside senior agents, coaches (especially during probation period) and team managers.

Customer Happiness Executive – Part Time

Customer Happiness Executive providing real-time live chat support to customers. Focused on renewal inquiries and collaboration with cross-functional teams in a hybrid work environment.

operations

Customer Operations Executive – Part Time

Customer Operations Executive providing real-time support via live chat for migration solutions. Collaborating with teams to enhance customer experience and addressing inquiries efficiently.

performance-marketing

• Own Paid Social channel performance from strategy to execution
• Allocate budgets across full funnel campaigns to drive efficiency
• Develop integrated full-funnel campaign strategies across awareness, prospecting and retargeting
• Actively collaborate with data and product peers to enhance the performance of your channels and the customers experience
• Collaborate with creative teams to brief creatives based on performance and audience insights
• Run lift tests and experiments to measure incrementality of Paid Social campaigns
• Identify cross-channel opportunities and share insights on audience and creative
• Confidently forecast channel level performance
• Report to stakeholders, translating performance into business outcomes

Paid Social Performance Manager

Paid Social Performance Manager driving performance in paid social channels, responsible for strategy execution and cross-functional collaboration. Critical role for scaling performance at a high growth company.

Marshmallow

About the company

Open jobs

6 jobs found

Analytics Engineer

Marshmallow

Lead Pricing Data Scientist

Marshmallow

Pricing Data Scientist

Marshmallow

Customer Happiness Executive – Part Time

Marshmallow

Customer Operations Executive – Part Time

Marshmallow

Paid Social Performance Manager

Marshmallow