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Revolut: Data Scientist (Credit) (Zdalna)

Oferta archiwalna

Data Scientist (Credit)

Bezpośrednia
  • Revolut
  • Zdalna
  • 29.06.2025

Podsumowanie oferty:

  • Branża

    Bankowość / Finanse / Fintech
  • Rodzaj umowy

    UoP
  • Doświadczenie

    Mid
  • Technologie i Narzędzia

    Python, SQL, Data science, Mathematics, Computer Science, Engineering, Probability, Statistics, Communication, Collaboration

Opis oferty:

People deserve more from their money. More visibility, more control, and more freedom. Since 2015, Revolut has been on a mission to deliver just that. Our powerhouse of products — including spending, saving, investing, exchanging, travelling, and more — help our 60+ million customers get more from their money every day.

As we continue our lightning-fast growth,‌ 2 things are essential to our success: our people and our culture. In recognition of our outstanding employee experience, we've been certified as a Great Place to Work™. So far, we have 10,000+ people working around the world, from our offices and remotely, to help us achieve our mission. And we're looking for more brilliant people. People who love building great products, redefining success, and turning the complexity of a chaotic world into the simplicity of a beautiful solution.

We’re looking for next-level Data Scientists to board our FinTech rocket ship and shape the future of financial services apps. Phew! It’s a big task, but you won’t do it alone. 💪

Wymagania:

  • Experience working in a data science team of a credit institution
  • A Bachelor's/Master's/PhD in STEM (Mathematics, Computer Science, Engineering)
  • Excellent knowledge of data science tools, including, python coding, SQL and production tools
  • A deep understanding of probability and statistics fundamentals
  • A big-picture mindset to correctly diagnose problems, produce research, and discover solutions
  • Excellent communication and collaboration skills to partner with Product Owners and business heads

Dodatki i korzyści:

  • Improving existing algorithms and building new Proofs of Concept
  • Delivering real impact to the product through rigorous data-driven solutions
  • Researching and then delivering PoCs into data products
  • Collaborating with product owners, engineers, and data scientists to continually solve complex data problems
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