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Applied Behavioural Science Revolut. . 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 50+ 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.. . About the role. . We approach Behavioural Science at Revolut the same way that we approach everything else — with innovation, logical thinking, and lots of style. We take the most complex problems in behavioural science and build tailor-made solutions that create beneficial outcomes.. . We start with deep data analysis to understand our employees, their objectives, and any issues they might have. Then we use quantitative and qualitative research, statistics, and advanced machine learning algorithms to deliver the best possible results for Revolut and Revoluters. We experiment, iterate, and build empirically-sound, science-backed solutions, using the most advanced methods and techniques.. . We’re looking for a next-level Behavioural Scientist to help shape the future of our high-growth, high-performance culture. You’ll be working alongside the best in behavioural science, data science, engineering, and human resources on impactful projects that’ll move our company forward.. . Up for the challenge? Let’s get in touch.. . What you’ll be doing. . . Leading and supporting the development of innovative and scientific strategies for people research, pre-employment assessment, employee listening, and recruitment. . Collaborating with the People team on initiatives that increase performance and reduce attrition, while driving employee engagement, well-being, and job satisfaction. . Delivering real impact to Revolut’s culture in collaboration with the Culture Lab. . Developing data-driven solutions that double down on Revolut’s commitment to diversity and inclusion. . . What you’ll need. . . 3–5 years of experience in applied behavioural science, people science, or similar. . Great skills with Python or R, plus intermediate SQL skills. . A graduate degree (MA or PhD) in a quantitative behavioural science discipline. . End-to-end experience with all aspects of research (study design, execution, analysis, and reporting). . Advanced statistics and quantitative research skills (t-tests, ANOVA, EFA/CFA/PCA, linear and logistic regression, RWA, etc.). . . Nice to have. . . Experience with psychometrics and/or assessment design. . Experience with employee listening/engagement surveys. . Experience with forecasting and machine learning models, such as K-Means, XGBoost, KNN, Random Forests, and ARIMA. . Familiarity with qualitative research techniques. . . Compensation range. . . US: $146,700 – $196,000 gross annually*. . 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. . Building a global financial super app isn’t enough. Our Revoluters are a priority, and that’s why in 2021 we launched our inaugural D&I Framework, designed to help us thrive and grow everyday. We’re not just doing this because it’s the right thing to do. We’re doing it because we know that seeking out diverse talent and creating an inclusive workplace is the way to create exceptional, innovative products and services for our customers. That’s why we encourage applications from people with diverse backgrounds and experiences to join this multicultural, hard-working team.. .