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7 дней назад

Forward Deployed Scientist II (AI)

Формат работы
remote (только United_kingdom)
Тип работы
fulltime
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Forward Deployed Scientist II (AI): Applying machine learning, forecasting, optimisation, and agentic systems to demand forecasting, price and promotion optimisation, and supply-chain decisioning for major retailers and manufacturers with an accent on end-to-end customer engagements and commercial impact. Focus on adapting frontier AI techniques to ambiguous real-world problems, shipping production solutions, and feeding engagement learnings back into product direction.

Location: London, United Kingdom

Company

hirify.global creates enterprise automation software designed to transform how organizations work.

What you will do

  • Own customer engagements from problem framing through solution delivery and measurable commercial impact.
  • Apply and adapt machine learning, forecasting, optimisation, and agentic AI techniques to demand forecasting, pricing, promotion, and supply-chain decisioning problems.
  • Work directly with major retailers, manufacturers, customer teams, data scientists, and customer executives.
  • Translate successful engagement solutions into product direction and stronger core capabilities.
  • Operate autonomously, make delivery decisions, and ship solutions for ambiguous real-world problems.

Requirements

  • Strong experience applying machine learning or data science to real-world commercial problems.
  • Depth in forecasting, optimisation, supply-chain, or pricing problems is preferred.
  • Fluent programming skills in Python and SQL, with the ability to learn additional tools as needed.
  • Excellent communication skills, including explaining complex models to non-technical audiences and working with customer executives.
  • Comfort with ambiguity, direct customer contact, autonomy, and a fast-paced delivery environment.

Nice to have

  • Experience with agentic or LLM-based systems.
  • Experience building machine learning systems in production.

Culture & Benefits

  • Work in a fast-moving, growth-oriented environment focused on applied AI and enterprise automation.
  • Many roles support flexibility in when and where work is performed, depending on business and role requirements.
  • Hybrid, office-based, and remote arrangements vary by team.
  • Inclusive workplace with equal opportunities and reasonable accommodations available on request.

Hiring process

  • Applications are assessed on a rolling basis with no fixed deadline.
  • The application window may close once a qualified candidate is selected.

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