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3 часа назад

Lead Data Scientist (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
lead
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

Lead Data Scientist (AI): Leading and managing data science teams to build scalable and ethical AI solutions with an accent on strategy, coaching, and organizational capability. Focus on overseeing complex ML modeling, ensuring model quality, and deploying production-ready AI solutions in collaboration with multidisciplinary teams.

Location: Onsite in West Midlands, UK

Company

hirify.global is a technical consultancy specializing in digital transformation and AI delivery for various clients.

What you will do

  • Lead and manage data science teams and workstreams, setting clear direction and delivery priorities.
  • Shape data science strategy, standards, and reusable approaches across products, services, and programs.
  • Coach data scientists and multidisciplinary teams in methods, tools, and responsible AI practices.
  • Oversee complex modeling and machine learning work, ensuring appropriate validation and assurance.
  • Collaborate with senior stakeholders to identify and implement opportunities where data science creates measurable value.
  • Partner with product, engineering, and architecture leads to deploy and maintain scalable solutions.

Requirements

  • Strong leadership experience within data science, AI, or machine learning delivery teams.
  • Broad knowledge of data science techniques, tools, use cases, risks, and operational considerations.
  • Ability to communicate complex technical topics effectively to senior stakeholders.
  • Experience assuring data science outputs, including model quality, ethics, privacy, and governance.
  • Strong coaching and mentoring skills to build technical capability across teams.
  • Location: Must be based in West Midlands for onsite work

Nice to have

  • Experience with enterprise AI adoption, MLOps, or cloud architecture.
  • Knowledge of NLP, LLMs, or advanced analytics platforms.
  • Experience managing mixed teams of data scientists, analysts, engineers, and product specialists.
  • Background in client-facing consultancy or public-sector digital transformation.

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