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4 дня назад

Staff Data Scientist (Claims Fraud/Generative AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Staff Data Scientist (Claims Fraud/Generative AI): Building production machine learning and Generative AI systems for claims validation, fraud detection, and end-to-end claims automation with an accent on risk-based decisioning, statistical rigour, and scalable model integration. Focus on designing reliable LLM workflows, improving monitoring and feedback loops, and shaping technical direction across Data Science, Product, and Engineering.

Location: London, hybrid

Company

hirify.global is a financial services provider focused on making migration easier through insurance, lending, and related products.

What you will do

  • Provide technical leadership across Claims Fraud, shaping 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.
  • Connect models, data, workflows, and infrastructure to improve scalability and reduce time to production.
  • Advocate for monitoring, feedback loops, quality assurance, and platform investments supporting end-to-end claims automation.
  • Set high standards for statistical rigour, experimentation, measurement, and communication of uncertainty.
  • Influence technical direction and challenge proposals to ensure robust, sustainable solutions.

Requirements

  • Significant commercial experience delivering end-to-end machine learning solutions from problem framing through production deployment and monitoring.
  • Hands-on experience building and shipping Generative AI systems in production, including evaluation, safety, quality, and workflow integration.
  • Strong statistical and modelling foundation, with experience in risk-based decisioning under uncertainty, such as fraud, credit, insurance, or other regulated domains.
  • Experience influencing technical direction across Data Science and Engineering, including scalable model and service integration.
  • Strong stakeholder management and communication skills, including constructive challenge of Product and Engineering proposals.
  • Ability to work through ambiguity, connect systems-level concerns, and drive measurable automation and customer outcomes.

Culture & Benefits

  • 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.
  • 25 days of holiday plus bank holidays.
  • Work from anywhere for up to four weeks per year.

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.
  • 60-minute culture interview.

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