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2 дня назад

Senior Data Scientist

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
France/UK/Spain +1 еще
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
Senior Data Scientist (SQL/Python): Investigating incidents and analyzing complex datasets across search, supply, and commerce with an accent on root-cause analysis, linked data sources, and reusable solutions. Focus on identifying product opportunities, mentoring junior colleagues, and solving ambiguous cross-functional problems across the customer journey.

Location: London, United Kingdom; hybrid model with office attendance required for a minimum of 60% of the time over a 12-week period. A 28-day work-from-abroad policy is available.

Company

hirify.global is a European rail and coach booking platform connecting travellers with carriers, fares, and journey options through its app, website, and B2B partner channels.

What you will do

  • Investigate checkout errors, searches returning no results, conversion declines, and other incidents to identify root causes.
  • Analyze recurring incident patterns and build reusable solutions that reduce investigation time.
  • Work across search, supply, and commerce by linking datasets and data sources.
  • Identify product and commercial opportunities from analysis and communicate them to relevant teams.
  • Mentor junior colleagues and help improve problem-solving practices across the team.
  • Partner with data scientists, data analysts, and cross-functional customer experience teams while balancing competing priorities.

Requirements

  • Substantial senior-level data science experience.
  • Strong SQL and Python skills for exploring, analyzing, and interpreting complex datasets.
  • Experience working across multiple business areas or functional pillars.
  • Experience owning a business or functional area and taking responsibility for outcomes.
  • Experience mentoring or guiding junior colleagues.
  • Ability to connect detailed data from multiple sources and work effectively in ambiguous situations.

Nice to have

  • Experience in a marketplace or similar technology-driven business.
  • Experience with product analytics.
  • Experience using AI tools alongside SQL and Python.

Culture & Benefits

  • Private healthcare and dental insurance.
  • Generous work-from-abroad policy and extra festive time off.
  • Two-for-one share purchase plan and an electric vehicle scheme.
  • Family-friendly benefits, personal learning budgets, regular learning days, and transparent pay bands.
  • Inclusive workplace focused on customer ownership, collaboration, continuous improvement, and positive environmental impact.

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