Senior Data Scientist, Team Lead

Who are we? Hi! We are Ravelin! Were a fraud detectioncompany using advanced machine learning and network analysistechnology to solve big problems. Our goal is to make onlinetransactions safer and help our clients feel confident servingtheir customers. And we have fun in the meantime! We are a friendlybunch and pride ourselves in having a strong culture and adheringto our values of empathy, ambition, unity and integrity. We reallyvalue work/life balance and we embrace a flat hierarchy structurecompany-wide. Join us and you’ll learn fast about cutting-edge techand work with some of the brightest and nicest people around -check out our Glassdoor reviews. If this sounds like your cup oftea, we would love to hear from you! For more information check outour blog to see if you would like to help us prevent crime andprotect the worlds biggest online businesses. The Team You will bejoining the Detection team. The Detection team is responsible forkeeping fraud rates low – and clients happy – by continuouslydeveloping, training and deploying machine learning models. We aimto make model deployments as easy and error free as codedeployments. Google’s Best Practices for ML Engineering is ourbible. Our models are trained to spot multiple types of fraud,using a variety of data sources and techniques in real time. Theprediction pipelines are under strict SLAs, every prediction mustbe returned in under 300ms. When models are not performing asexpected, it’s down to the Detection team to investigate why. TheDetection team is core to Ravelin’s success. They work closely withthe Data Engineering Team who build infrastructure and theIntelligence & Investigations Team who liaise with clients. TheRole We are currently looking for a Data Scientist to line managedata scientists and ML engineers and drive innovation across oursuite of fraud detection products. You’ll work closely withproduct, engineering and our operations teams to develop ML modelsand ML products and deliver them to current and future clients. Ourideal candidate is pragmatic, approachable and filled withknowledge tempered by past failures. You will hire, coach anddevelop a talented data science team to deliver on the ML productroadmap. You are in your element working with people. You’llpartner closely with senior members of Detection to discover newavenues for ML product innovation. From time to time, you’reexcited to even do some software or model development yourself. Thework is not all green field research. The everyday work is aboutmaking safe incremental progress towards better models for ourclients. The ideal candidate is willing to get involved in bothaspects of the job – and understand why both are important.Responsibilities * Act as a leader in establishing excellenceacross data science and within the detection team * Line manage ateam of data scientists - providing coaching and guidance insupport of the ongoing development and growth of your team *Research new techniques to disrupt fraudulent behaviour *Investigate model performance issues * Develop and deploy newmodels to detect fraud whilst maintaining SLAs * Liaise withproduct, engineering and operations to question your assumptionsand ensure we make the right ML product decisions Requirements *Minimum of 1 year of experience as a data science or engineeringmanager, managing at least 3 people * You are a strong collaboratorwith colleagues outside of your immediate team, for example withclient operations teams, product, engineering and with seniorleadership. * You know how to manage and retain talented engineersand data scientists from a diverse range of backgrounds andpersonalities. You can handle difficult management situations withtact, empathy and support. * You have significant experiencebuilding and deploying ML models using the Python data stack. * Youunderstand software engineering best practices (version control,unit tests, code reviews, CI/CD) and how they apply to machinelearning engineering. Nice to haves * Experience with Go, C++, Javaor another systems language * Experience with Docker, Kubernetesand ML production infrastructure. * Tensorflow or Pytorch deeplearning experience. * Experience using dbt. Benefits * FlexibleWorking Hours & Remote-First Environment — Work when and whereyou’re most productive, with flexibility and support. *Comprehensive BUPA Health Insurance — Stay covered with top-tiermedical care for your peace of mind. * £1,000 Annual Wellness andLearning Budget — Prioritise your health and well-being with fundsfor fitness, mental health, and more. * Monthly Wellbeing andLearning Day — Take every last Friday of the month off to recharge,on us. * 25 Days Holiday + Bank Holidays + 1 Extra Cultural Day —Enjoy generous time off to rest, travel, or celebrate what mattersto you. * Mental Health Support via Spill — Access professionalmental health services when you need them. * Aviva Pension Scheme —Plan for the future with our pension program. * Ravelin Gives Back— Join monthly charitable donations and volunteer opportunities tomake a positive impact. * Fortnightly Randomised Team Lunches —Connect with teammates from across the company over in person orremote lunches every other week. * Cycle-to-Work Scheme — Save oncommuting costs while staying active. * BorrowMyDoggy Access — Lovedogs? Spend time with a furry friend through this unique perk. *Weekly Board Game Nights & Social Budget — Unwind with weeklyboard games or plan your own socials, supported by a company budgetJ-18808-Ljbffr