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обновлено 11 дней назад

Senior Data Scientist

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
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
Senior Data Scientist (Product Analytics/Traveltech): Driving product and business outcomes for B2B rail travel solutions through experimentation, predictive modelling, and data-driven strategy with an accent on product measurement, growth, and complex ecosystem analysis. Focus on defining impactful metrics, evaluating user engagement, shaping product roadmaps, and applying SQL, Python, R, Tableau, and AWS Athena to actionable decision-making.

Location: London, hybrid; office attendance required at least 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 travel platform helping travellers and business partners find and book journeys through its consumer and B2B channels.

What you will do

  • Develop a deep understanding of product experiences and opportunities for growth.
  • Contribute to product roadmaps, goals, and strategic direction.
  • Lead cross-functional reviews to measure progress against goals.
  • Identify and articulate new product opportunities.
  • Support experiments, product launches, and growth through data-driven decision-making.
  • Define metrics that enable learning across experimentation and release cycles.

Requirements

  • 5+ years of commercial experience using data science and analytics to drive business decisions.
  • Ability to communicate complex analysis clearly to stakeholders at all levels, including senior management.
  • Experience evaluating product engagement and measuring success through methods such as A/B testing and front-end data analysis.
  • Ability to work with complex or ambiguous datasets and produce actionable insights.
  • Experience using AI to accelerate analytical coding responsibly and automate day-to-day processes.
  • Strong data visualization, presentation, and communication skills; experience with SQL, Python, R, Tableau, and AWS Athena.

Nice to have

  • Expertise in predictive modelling, including parametric and non-parametric techniques.
  • Experience with wider machine learning methods such as clustering, random forests, and neural networks.

Culture & Benefits

  • Hybrid working with a generous work-from-abroad policy.
  • Private healthcare and dental insurance.
  • 2-for-1 share purchase plans and an electric vehicle scheme.
  • Extra festive time off and family-friendly benefits.
  • Clear career paths, transparent pay bands, personal learning budgets, and regular learning days.
  • Inclusive environment focused on sustainability, collaboration, ownership, and positive impact.

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