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8 дней назад

Senior Data Scientist (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
Senior Data Scientist (AI): Leading bespoke AI projects for retail and consumer clients with an accent on advanced machine learning, production-grade architectures, and responsible AI. Focus on translating complex business problems into deployable algorithms, designing agentic AI infrastructure, and mentoring data science teams.

Location: London, United Kingdom; hybrid

Company

hirify.global develops and deploys responsible AI solutions for clients across retail, consumer, government, finance, energy, life sciences, and defence.

What you will do

  • Lead project teams delivering bespoke algorithms and high-stakes AI solutions for retail and consumer clients.
  • Translate complex business problems into feasible data science approaches and clear delivery milestones.
  • Design software architectures for data science solutions in collaboration with engineering colleagues.
  • Build client relationships, support business development, and own the technical side of project engagements.
  • Estimate timelines, maintain delivery rigour, and uphold responsible AI practices throughout the project lifecycle.
  • Mentor data scientists and contribute to hiring at hirify.global.

Requirements

  • Senior professional experience in data science or a quantitative academic field.
  • Broad knowledge of state-of-the-art machine learning and AI, with the ability to apply novel approaches to complex problems.
  • Rigorous model validation skills, including assessment of real-world performance and edge cases.
  • Experience scoping projects, evaluating technical feasibility, and defining delivery milestones.
  • Mastery of Python and relevant frameworks, plus the ability to architect production-grade infrastructure for sophisticated models and agentic AI systems.
  • Clear communication skills, a commitment to accountability and transparency, and experience mentoring data scientists.

Culture & Benefits

  • Diverse and inclusive working environment with applications welcomed from all backgrounds.
  • Focus on intellectual curiosity, measurable positive impact, accountability, and responsible technology.
  • Open to conversations about part-time hours.
  • Human review of every application; AI use is permitted for research and interview preparation but not for generating live interview answers.
  • Interview AI note-taking is used, with the option to opt out.

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