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4 дня назад

Principal Data Scientist (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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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

hirify.global 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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