Data Scientist and Analyst Intern (Fintech)
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Описание вакансии
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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