Descripción del trabajo
About the role We approach Data Science at Revolut the same way that we approach everything else — with class, logical thinking, and lots of style. Let’s break it down: we take the most complex problems and create tailor-made solutions for our customers ?? If you’re thinking the Data team is kept in some sort of a secret den, doomed to never see the impact of their work, don’t worry — that’s not how we do things. They’re some of our best and brightest problem-solvers, deployed to the front lines to work in product teams and deliver rockstar solutions. We’re looking for a next-level Data Scientist 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. You’ll be working with the toughest and most gifted professionals in Product, Design, Data Science, and Engineering on impactful projects that’ll make our company move forward ? This role offers the opportunity to relocate to Poland, Portugal, or Spain. You'll receive support from Revolut throughout the entire process. Once you move, you'll have the flexibility to work remotely or in a hybrid model in our offices in Barcelona, Madrid, Porto, or Kraków. Up for the challenge? Let's get in touch. What you’ll be doing: - Building models for full Retail Credit lifecycle - 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
Solicitud
What you'll need:- 5+ years of production experience- Experience working in a data science team of a credit institution- A Bachelor's, Master's, or PhD in STEM (Mathematics, Computer Science, Engineering)- Excellent knowledge of data science tools, including Python, 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- Fluency in English