marshmallow - Senior Data Scientist
Requirements
• 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. • 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
Responsibilities
• 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 • 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. • 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.
Benefits
• prefer not to say • As part of our hiring process, we carry out standard DBS and Cifas background checks. These verify there are no ongoing criminal proceedings and support fraud prevention. If you have questions, speak to our Talent Acquisition team. • Use the tick box to confirm you've read and understood • We take privacy seriously at Marshmallow. Our Recruitment Privacy Notice explains how we process and handle your personal data. • Please tick the box to confirm you've read the notice and agree to us contacting you about opportunities for up to 3 years. • If you're responding to a data retention extension request, tick the box to confirm we can continue holding your data for an additional 12 months. You can ignore the note below. If you'd prefer to opt out, simply ignore the email. • Note: The consent period lasts for 3 years • Recruiting Privacy Policy
Apply in one click
Upload My Resume
Drop here or click to browse · Tap to choose · PDF, DOCX, DOC, RTF, TXT