At a glance
- Employment
- Full-time
- Workplace
- Hybrid
- Location
- London
- Visa sponsorship
- Visa sponsorship available
About the role
- The Principal Data Scientist will provide technical leadership within the Claims team, focusing on automating the claims journey through traditional machine learning and Generative AI.
- This role involves designing and shipping production-grade AI systems while collaborating with Product and Engineering to ensure scalable, robust, and sustainable decisioning solutions.
Responsibilities
- Provide technical leadership for data science across Claims Fraud, shaping risk decisioning and fraud detection strategies.
- Design, build, and iterate on production ML and Generative AI/LLM systems for claims validation and automation.
- Collaborate with Claims data scientists to implement system-level thinking for model, data, and workflow integration.
- Identify and advocate for platform and tooling investments, including monitoring, feedback loops, and QA, to support end-to-end automation.
- Advocate for scalable, strategically aligned technical solutions in cross-functional discussions.
- Set high standards for statistical rigour, experimentation, and measurement of claims performance.
- Communicate complex technical trade-offs and performance metrics to senior stakeholders.
Requirements
- Significant commercial experience delivering end-to-end Machine Learning solutions from problem framing to production deployment.
- Hands-on experience building and shipping Generative AI systems in production, including evaluation and safety considerations.
- Strong statistical and modelling foundation with experience in risk-based decisioning under uncertainty.
- Proven ability to influence technical direction across Data Science and Engineering teams.
- Strong stakeholder management skills with the ability to communicate trade-offs and challenge assumptions constructively.
Benefits
- Bonus scheme
- Private medical insurance with Vitality
- Mental health support with Oliva
- Personal learning budget
- 2 dedicated L&D days a year
- Monthly flexible benefits budget
- 25 days holiday plus bank holidays
- 4 weeks Work From Anywhere per year
Workplace
- Hybrid role
- 3 days in office required
Skills
- Machine Learning
- Generative AI
- LLM
- Risk-based Decisioning
- Fraud Detection
