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 customer identity-relatedprojects: Identity verification / KYC Computer vision OCR Anomalydetection Excellent skills in Python and SQL Experience withlibraries such as Scikit-learn, Tensorflow, Pytorch Strong datawrangling skills for merging, cleaning and sampling data Strongdata visualisation and communication skills are essentialUnderstanding of the software development life cycle and experienceusing version control tools such as git Demonstrable experiencedeploying machine learning solutions in a production environmentDesirables: Experience with AWS/GCP Desire to build explainable MLmodels (using techniques such as SHAP) Familiarity with dataprivacy regulations and experience in applying these to modeldevelopment Interview processInterviewing is a two way process andwe want you to have the time and opportunity to get to know us, asmuch as we are getting to know you! Our interviews areconversational and we want to get the best from you, so come withquestions and be curious. In general you can expect the below,following a chat with one of our Talent Team: Stage 1 - 45 minswith one of the team Stage 2 - Take-home challenge Stage 3 - 60mins technical interview with two team members Stage 4 - 45 minfinal with two executives Benefits 25 days holiday (plus take yourpublic holiday allowance whenever works best for you) An extraday’s holiday for your birthday Annual leave is increased withlength of service, and you can choose to buy or sell up to fiveextra days off 16 hours paid volunteering time a year Salarysacrifice, company enhanced pension scheme Life insurance at 4xyour salary & group income protection Private Medical Insurancewith VitalityHealth including mental health support and cancercare. Partner benefits include discounts with Waitrose, Mr&MrsSmith and Peloton Generous family-friendly policies Perkboxmembership giving access to retail discounts, a wellness platformfor physical and mental health, and weekly free and boosted perksAccess to initiatives like Cycle to Work, Salary Sacrificed Gympartnerships and Electric Vehicle (EV) leasing About UsYou may beput off applying for a role because you don't tick every box.Forget that! While we can’t accommodate every flexible workingrequest, we're always open to discussion. So, if you're excitedabout working with us, but aren’t sure if you're 100% there yet,get in touch anyway. We’re on a mission to radically reshapebanking – and that starts with our brilliant team. Whatever camebefore, we’re proud to bring together people of all backgrounds andexperiences who love working together to solve problems.StarlingBank is an equal opportunity employer, and we’re proud of ourongoing efforts to foster diversity & inclusion in theworkplace. 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.