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9 дней назад

Data Scientist

Формат работы
hybrid
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
Data Scientist (Python/SQL): Building predictive data science products for pricing, recommendations, and other business domains with an accent on practical machine learning, experimentation, and commercial decision-making. Focus on developing production models, monitoring performance, and translating ambiguous business problems into reliable solutions.

Location: London, United Kingdom; hybrid working arrangement

Company

hirify.global is a travel technology company helping customers discover and book holidays through broad choice, ease, and value.

What you will do

  • Build and improve data science products for pricing, recommendations, and other business domains.
  • Translate ambiguous business problems into practical solutions through exploration, modelling, experimentation, and evaluation.
  • Partner with engineers, analysts, and product teams to deploy reliable models and embed recommendations into decision-making.
  • Monitor model performance, investigate changes, and continuously improve solutions as customer behaviour and business needs evolve.
  • Communicate findings clearly, challenge assumptions, and support evidence-based commercial decisions.

Requirements

  • Strong experience developing and delivering practical machine learning solutions.
  • Proficiency in Python and SQL, with experience working with large and complex datasets.
  • Strong grounding in statistics, experimentation, machine learning, model evaluation, and causal thinking.
  • Experience collaborating with engineers to deploy, monitor, and improve production models.
  • Strong communication skills for explaining technical concepts and influencing product and commercial decisions.

Culture & Benefits

  • Hybrid work within the London-based organisation.
  • 5% company pension contributions.
  • Individual training budget for professional development.
  • 25 days of annual leave plus 8 public holidays, increasing with service up to 30 days.
  • Ability to buy and sell annual leave, plus discounted holidays for employees, family, and friends.
  • Electric vehicle salary sacrifice scheme, cycle-to-work scheme, season ticket loan, and eye care vouchers.

Hiring process

  • 30-minute introductory call with Talent Acquisition.
  • Virtual hiring manager interview followed by two on-site interviews, including a project discussion and technical case-study discussion.
  • 45-minute virtual final-stage interview with key stakeholders.

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