Starling is the UK’s first and leading digital bank ona mission to fix banking! Our vision is fast technology, fairservice, and honest values. All at the tap of a phone, all thetime.Starling is the UK’s first and leading digital bank on amission to fix banking! We built a new kind of bank because we knewtechnology had the power to help people save, spend and managetheir money in a new and transformative way.We’re a fully licensedUK bank with the culture and spirit of a fast-moving, disruptivetech company. We’re a bank, but better: fairer, easier to use anddesigned to demystify money for everyone. We employ more than 3,000people across our London, Southampton, Cardiff and Manchesteroffices.Our technologists are at the very heart of Starling andenjoy working in a fast-paced environment that is all aboutbuilding things, creating new stuff, and disruptive technology thatkeeps us on the cutting edge of fintech. We operate a flatstructure to empower you to make decisions regardless of what yourprimary responsibilities may be, innovation and collaboration willbe at the core of everything you do. Help is never far away in ouropen culture, you will find support in your team and from acrossthe business, we are in this together!The way to thrive and shinewithin Starling is to be a self-driven individual and be able totake full ownership of everything around you: From building things,designing, discovering, to sharing knowledge with your colleaguesand making sure all processes are efficient and productive todeliver the best possible results for our customers. Our purpose isunderpinned by five Starling values: Listen, Keep It Simple, Do TheRight Thing, Own It, and Aim For Greatness.Hybrid WorkingWe have aHybrid approach to working here at Starling - our preference isthat you're located within a commutable distance of one of ouroffices so that we're able to interact and collaborate inperson.Our Data EnvironmentOur Data teams are aligned to divisionscovering the following Banking Services & Products, CustomerIdentity & Financial Crime and Data & ML Engineering. OurData teams are excited about delivering meaningful and impactfulinsights to both the business and more importantly our customers.Hear from the team in our latest blogs or our case studies withWomen in Tech.We are looking for talented data professionals at alllevels to join the team. We value people being engaged and caringabout customers, caring about the code they write and thecontribution they make to Starling. People with a broad ability toapply themselves to a multitude of problems and challenges, who canwork across teams do great things here at Starling, to continuechanging banking for good.This role sits within the CustomerIdentity & Financial Crime data division. This team isresponsible for the deployment of analytical solutions and machinelearning models to prevent and detect financial crime and betterunderstand our customers. This role specifically will focus on thecustomer identity domain, with a focus on identity verification,KYC and OCR technologies.Responsibilities: Build, test and deploymachine learning models which will improve and/or automate decisionmaking Collaborate with engineering, cyber, risk and operationalteams teams to identify appropriate data points that are relevantfor modelling, using this insight to inform the creation ofpredictive models Conduct exploratory data analysis to identifytrends, patterns and anomalies in customer identity dataContinuously monitor the performance of identity models inproduction and refine them to improve accuracy, scalability andefficiency RequirementsWe’re open-minded when it comes to hiringand we care more about aptitude and attitude than specificexperience or qualifications. We think the ideal candidate willencompass most of the following: Demonstrable industry experienceData Science/Machine Learning in Computer vision-related projects:Identity verification / KYC Computer vision OCR Anomaly detectionExcellent skills in Python and SQL Experience with libraries suchas Scikit-learn, Tensorflow, Pytorch Strong data wrangling skillsfor merging, cleaning and sampling data Strong data visualisationand communication skills are essential Understanding of thesoftware development life cycle and experience using versioncontrol tools such as git Demonstrable experience deploying machinelearning solutions in a production environment Desirables:Experience with AWS/GCP Desire to build explainable ML models(using techniques such as SHAP) Familiarity with data privacyregulations and experience in applying these to model developmentInterview processInterviewing is a two way process and we want youto have the time and opportunity to get to know us, as much as weare getting to know you! Our interviews are conversational and wewant to get the best from you, so come with questions and becurious. In general you can expect the below, following a chat withone of our Talent Team: Stage 1 - 45 mins with one of the teamStage 2 - Take-home challenge Stage 3 - 60 mins technical interviewwith two team members Stage 4 - 45 min final with two executivesBenefits 25 days holiday (plus take your public holiday allowancewhenever works best for you) An extra day’s holiday for yourbirthday Annual leave is increased with length of service, and youcan choose to buy or sell up to five extra days off 16 hours paidvolunteering time a year Salary sacrifice, company enhanced pensionscheme Life insurance at 4x your salary & group incomeprotection Private Medical Insurance with VitalityHealth includingmental health support and cancer care. Partner benefits includediscounts with Waitrose, Mr&Mrs Smith and Peloton Generousfamily-friendly policies Perkbox membership giving access to retaildiscounts, a wellness platform for physical and mental health, andweekly free and boosted perks Access to initiatives like Cycle toWork, Salary Sacrificed Gym partnerships and Electric Vehicle (EV)leasing About UsYou may be put off applying for a role because youdon't tick every box. Forget that! While we can’t accommodate everyflexible working request, we're always open to discussion. So, ifyou're excited about working with us, but aren’t sure if you're100% there yet, get in touch anyway. We’re on a mission toradically reshape banking – and that starts with our brilliantteam. Whatever came before, we’re proud to bring together people ofall backgrounds and experiences who love working together to solveproblems.Starling Bank is an equal opportunity employer, and we’reproud of our ongoing efforts to foster diversity & inclusion inthe workplace. Individuals seeking employment at Starling Bank areconsidered without regard to race, religion, national origin, age,sex, gender, gender identity, gender expression, sexualorientation, marital status, medical condition, ancestry, physicalor mental disability, military or veteran status, or any othercharacteristic protected by applicable law. When you provideus with this information, you are doing so at your own consent,with full knowledge that we will process this personal data inaccordance with our Privacy Notice. By submitting your application,you agree that Starling Bank will collect your personal data forrecruiting and related purposes. Our Privacy Notice explains whatpersonal information we will process, where we will process yourpersonal information, its purposes for processing your personalinformation, and the rights you can exercise over our use of yourpersonal information.