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

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

Flexible working: Spend three days a week with your team in our collaborative London office, and own your own working hours
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

Staff Data Scientist

Key skills