4 дня назад
Principal Data Scientist (Generative AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Principal Data Scientist (Generative AI): Building and scaling production machine learning and Generative AI systems for claims validation, fraud detection, and automated decisioning with an accent on statistical rigour, risk-based modelling, and reliable system integration. Focus on designing LLM workflows, improving monitoring and feedback loops, and shaping scalable technical direction across Data Science, Engineering, and Product.
Location: London, hybrid
Company
is a financial services company building insurance, lending, and migration-focused products, with a mission to make migration easier.
What you will do
- Provide technical leadership for data science across Claims Fraud and shape risk decisioning and fraud detection with Product and Engineering.
- Design, build, and iterate on production machine learning and Generative AI/LLM systems for claims validation and automation.
- Apply system-level thinking to models, data, workflows, and architecture to scale decisioning and reduce time to production.
- Define platform and tooling investments in monitoring, feedback loops, and quality assurance for end-to-end claims automation.
- Influence technical direction and advocate for robust, scalable solutions aligned with the long-term vision for automated claims handling.
- Improve statistical experimentation, measurement, and communication of Claims performance and uncertainty to senior stakeholders.
Requirements
- Significant commercial experience delivering end-to-end machine learning solutions from problem framing and experimentation through production deployment and monitoring.
- Hands-on experience building and shipping Generative AI systems in production, including evaluation, safety and quality considerations, and workflow integration.
- Strong statistical and modelling foundations, with experience in risk-based decisioning under uncertainty, such as fraud, credit, insurance, or other regulated domains.
- Ability to influence technical direction across Data Science and Engineering, including scalable model and service integration patterns.
- Strong stakeholder management and communication skills, including the ability to challenge assumptions and communicate trade-offs constructively.
- Ability to work through ambiguity and change while bringing structure to complex problem spaces.
Culture & Benefits
- Hybrid work environment with autonomy, ownership, and a focus on collective success.
- Bonus scheme designed to reward high performance.
- Private medical insurance through Vitality and mental health support through Oliva.
- Personal learning budget and two dedicated learning and development days per year.
- Monthly flexible benefits budget, plus 25 days of holiday and bank holidays.
- Four weeks of work from anywhere per year and visa sponsorship available for this position.
Hiring process
- 30-minute initial call with the Talent Team.
- 60-minute Past Experience interview with the Hiring Manager.
- 90-minute Systems Design and Technical interview with members of the team, followed by a 60-minute Culture interview.
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