Назад
Company hidden
2 дня назад

Data Scientist (GenAI & AI Engineering)

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
TL;DR
Data Scientist (GenAI & AI Engineering): Building and evaluating Generative AI systems from prototypes to production-ready components with an accent on experimentation, model evaluation, and product-focused machine learning. Focus on designing baselines, analysing errors and failure modes, communicating trade-offs, and developing AI engineering practices.

Location: London, England; hybrid with 40% office-based working

Company

hirify.global is a global data and technology company serving markets including financial services, healthcare, automotive, agribusiness, and insurance.

What you will do

  • Frame ambiguous product and business ideas into clear problem statements, assumptions, and success metrics with product, engineering, and business teams.
  • Design and run experiments to evaluate Generative AI systems, including baseline comparisons, error analysis, and failure-mode analysis.
  • Build and refine Generative AI systems from prototypes through production-ready components using modern development practices and AI-assisted coding tools.
  • Analyse model and system behaviour in product contexts and determine when GenAI, simpler analytics, or conventional machine learning is the appropriate approach.
  • Communicate results, trade-offs, limitations, and recommendations to technical and non-technical stakeholders.
  • Share insights with the team and spend approximately 10% of the role on learning and knowledge sharing.

Requirements

  • Experience working as a data scientist or in a similar role.
  • Experience with applied machine learning and Python programming.
  • Comfort working with incomplete information through exploration and experimentation.
  • Interest in developing broader AI engineering and product-focused delivery skills.
  • Ability to connect product, data, and engineering context to identify issues and improve decisions.

Nice to have

  • Exposure to software engineering practices such as version control, testing, or object-oriented programming.
  • Understanding of how AI systems are deployed or operated through cloud services or containerised environments.
  • Experience explaining technical concepts or analysis to non-technical partners.

Culture & Benefits

  • Permanent, full-time employment with a four-month secondment arrangement.
  • Hybrid working with 40% office-based attendance.
  • Benefits include pension, Bupa healthcare, Sharesave, 25 days of annual leave, 8 bank holidays, and 3 volunteering days.
  • Additional annual leave can be purchased; compensation includes a discretionary bonus plan.
  • Approximately 10% of working time is allocated to learning and knowledge sharing.
  • Inclusive, purpose-driven culture with equal opportunity and reasonable accommodation support.

Hiring process

  • Recruitment communications are sent only through authorised channels using an @hirify.global.com email address.
  • hirify.global never requests payment during application, interviewing, assessment, onboarding, or recruitment.

Будьте осторожны

Если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого. Это мошенники. Обязательно жмите «Пожаловаться» или пишите в поддержку. Подробнее в гайде →