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Data Scientist and Analyst Intern (Fintech)

7 600PLN
Формат работы
hybrid
Тип работы
fulltime
Грейд
trainee
Английский
c1
Страна
UK/UAE/Poland +2 еще
Релокация
UK/UAE/Poland +1 еще
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

Текст:
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TL;DR

Data Scientist and Analyst Intern (Fintech): Developing analytical tools and machine learning models to improve user sign-up flows and operational funnels with an accent on data infrastructure and product analytics. Focus on building ETLs, designing dashboards, and performing ad-hoc analysis to support product launches.

Location: Hybrid (Dubai, Krakow, Lisbon, London, Madrid). Must be based in or be able to relocate to the UAE, Poland, Portugal, Spain, or UK and attend the office at least 3 days per week.

Salary: 7,600 PLN gross monthly (for Poland); other locations discussed during interview.

Company

A global financial super app providing spending, saving, investing, and traveling services to over 75 million customers.

What you will do

  • Develop analytical tools and ML models, such as dashboards and ETLs, to support product launches.
  • Optimize user sign-up flows and operational funnels to improve visibility and conversion.
  • Maintain and enhance data infrastructure using LookML and ETL processes.
  • Collaborate with Operations, Growth, and Product teams to refine features and uncover insights.
  • Conduct ad-hoc analyses on interest rate sensitivity and incentive profitability.
  • Participate in a hands-on bootcamp and coordinate updates with global teams.

Requirements

  • Penultimate year student of a Bachelor’s or Master’s degree in Computer Science, Maths, Physics, or similar (graduating in 2028).
  • Proficiency in Python and SQL.
  • Solid foundation in mathematics and statistics.
  • Fluency in English.
  • Full-time availability for summer 2027.
  • Ability to attend a Revolut office at least 3 days per week.

Nice to have

  • Experience or interest in analytics engineering, product analytics, data science, or ML engineering.

Culture & Benefits

  • Paid 8–10 week internship focused on real-world high-impact projects.
  • Relocation support including visa assistance, travel costs, and accommodation.
  • Potential offer for the Graduate Programme for top performers.
  • Inclusive, multicultural environment with a commitment to diversity.
  • Mentorship from industry leaders and structured regular feedback.

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