Who are we?Hi! 👋 We are Ravelin! We're a fraud detection company using advanced machine learning and network analysis technology to solve big problems. Our goal is to make online transactions safer and help our clients feel confident serving their customers.And we have fun in the meantime! We are a friendly bunch and pride ourselves in having a strong culture and adhering to our values of empathy, ambition, unity and integrity. We really value work/life balance and we embrace a flat hierarchy structure company-wide. Join us and you'll learn fast about cutting-edge tech and work with some of the brightest and nicest people around - check out our Glassdoor reviews.If this sounds like your cup of tea, we would love to hear from you! For more information check out our blog to see if you would like to help us prevent crime and protect the world's biggest online businesses.The RoleWe are currently looking for a Junior level Data Scientist to join a fantastic team of client-facing data scientists and client support analysts. You will be working to discover patterns and trends concerning fraud in our clients' data. In this key role, you'll be applying exploratory analysis to form realistic and useful narratives from data, asking "why" as well as "what" and "how". You will interact directly and indirectly with clients to help them understand what is happening with their fraud, and help us to target our efforts ever more precisely.ResponsibilitiesWork directly with clients to provide fraud analytics and ML model insightsAnalyse datasets with millions of rows to identify fraud patterns, trends and emerging threats to improve client performanceDiscuss specific fraud problems with clients, in order to deeply understand how they manifest and to propose effective and elegant solutionsPrepare reports and present findings of analysis to clients when requiredIdentify new model features and improve model performanceOptimise the performance of our graph networks using network analysisGet hands on experience with our cloud infrastructure and make the most of the available tools for enhancing our clients' data and performanceBuild internal tools in Python for optimising and improving our analytical capabilitiesRequirements1 years' experience or training as a data analyst, intelligence analyst or data scientistStrong critical thinking skills, intuitively curious and able to diagnose data issuesStrong communication and presentation skillsDiligence, attention to detail, ability to prioritise and follow through on tasksExperience with SQL - ability to run complex queries to answer your own questionsExperience with Python for data analysis Knowledge of supervised and unsupervised ML techniquesDesirable: some knowledge, understanding or experience of network analysisDesirable: hands-on experience with DBTBenefitsFlexible Working Hours & Remote-First Environment — Work when and where you're most productive, with flexibility and supportComprehensive BUPA Health Insurance — Stay covered with top-tier medical care for your peace of mind£1,000 Annual Wellness and Learning Budget — Prioritise your health, well-being and learning needs with funds for fitness, mental health, and moreMonthly Wellbeing and Learning Day — Take every last Friday of the month off to recharge or learn something new, up to you25 Days Holiday + Bank Holidays + 1 Extra Cultural Day — Enjoy generous time off to rest, travel, or celebrate what matters to youMental Health Support via Spill — Access professional mental health services when you need themAviva Pension Scheme — Plan for the future with our pension programRavelin Gives Back — Join monthly charitable donations and volunteer opportunities to make a positive impactFortnightly Randomised Team Lunches — Connect with teammates from across the company over in person or remote lunches every other week on us!Cycle-to-Work Scheme — Save on commuting costs while staying activeBorrowMyDoggy Access — Love dogs? Spend time with a furry friend through this unique perkWeekly Board Game Nights & Social Budget — Unwind with weekly board games or plan your own socials, supported by a company budget*Job offers may be withdrawn if candidates do not meet our pre-employment checks: unspent criminal convictions, employment verification, and right to work.*