Data Scientist

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

We have 200 people within the Data Team at Revolut. They're a mix of Data Scientists, Data Analysts, Machine Learning Engineers & Computer Vision Engineers - working across a wide variety of problems in the business. Our Data function does have centralised leadership, but you will be spending the majority of your time embedded into multidisciplinary product teams, comprised of: Product Owners, Software Engineers, Data Analysts & Operations Managers - working together to solve problems that impact millions of Revolut customers.

We start with deep data analysis to understand our customers, their objectives and any issues they might have. We then use various data points and advanced machine learning algorithms, to come up with the best possible option for each client. We experiment, iterate and build fully automated solutions, based on algorithms which self-improve with time.

We are looking for talented Data Scientists to join our team and help us create the future of financial services apps. You will be working together with the strongest professionals in Product, Design, Data Science and Engineering on the projects which have direct customer impact and drive our company forward.

What you’ll be doing

• 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

What you'll need

• Experience building and leading a significant data science team within a scaling organisation
• Bachelor's/Master's/PhD in STEM (Mathematics, Computer Science, Engineering)
• Excellent knowledge of data science tools, including, python coding, SQL and production tools.
• Deep understanding of fundamentals of probability and statistics.
• Big picture thinking - correctly diagnosing problems and productionising research.
• Excellent communication and collaboration skills to partner with Product Owners and business heads

Nice to have

• Advanced degree in a quantitative discipline (e.g., Masters or PhD)
• Strong experience with additional programming languages (such as: Java, Scala, C++…)
• Previous experience in anti fraud departments
• Worked at a large tech company worth >$15B
• School/University Olympic medal competitions in: Physics, Maths, Economics or Programming

Compensation range

• Lithuania: €6,000 - €7,300 gross monthly*
• Other locations: Compensation will be discussed during the interview process

*Final compensation will be determined based on the candidate's qualifications, skills, and previous experience