Data Scientist (Computer Vision)

Starling is the UK’s first and leading digital bank on a mission to fix banking! Our vision is fast technology, fair service, and honest values. All at the tap of a phone, all the time. Starling is the UK’s first and leading digital bank on a mission to fix banking! We built a new kind of bank because we knew technology had the power to help people save, spend and manage their money in a new and transformative way. We’re a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company. We employ more than 3,000 people across our London, Southampton, Cardiff and Manchester offices. Our technologists are at the very heart of Starling and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech. We operate a flat structure to empower you to make decisions regardless of what your primary responsibilities may be. Innovation and collaboration will be at the core of everything you do. Help is never far away in our open culture; you will find support in your team and from across the business. The way to thrive and shine within Starling is to be a self-driven individual and be able to take full ownership of everything around you: from building things, designing, discovering, to sharing knowledge with your colleagues and making sure all processes are efficient and productive to deliver the best possible results for our customers. Our purpose is underpinned by five Starling values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness. Hybrid Working We have a Hybrid approach to working here at Starling - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. Our Data Environment Our Data teams are aligned to divisions covering the following Banking Services & Products, Customer Identity & Financial Crime, and Data & ML Engineering. Our Data teams are excited about delivering meaningful and impactful insights to both the business and more importantly our customers. This role sits within the Customer Identity & Financial Crime data division. This team is responsible for the deployment of analytical solutions and machine learning models to prevent and detect financial crime and better understand our customers. This role specifically will focus on the customer identity domain, with a focus on identity verification, KYC, and OCR technologies. Responsibilities: Build, test, and deploy machine learning models which will improve and/or automate decision making. Collaborate with engineering, cyber, risk, and operational teams to identify appropriate data points that are relevant for modeling, using this insight to inform the creation of predictive models. Conduct exploratory data analysis to identify trends, patterns, and anomalies in customer identity data. Continuously monitor the performance of identity models in production and refine them to improve accuracy, scalability, and efficiency. We’re open-minded when it comes to hiring and we care more about aptitude and attitude than specific experience or qualifications. We think the ideal candidate will encompass most of the following: Demonstrable industry experience in Data Science/Machine Learning in computer vision-related projects: Identity verification / KYC Computer vision OCR Anomaly detection Excellent skills in Python and SQL. Experience with libraries such as Scikit-learn, Tensorflow, and Pytorch. Strong data wrangling skills for merging, cleaning, and sampling data. Strong data visualization and communication skills are essential. Understanding of the software development life cycle and experience using version control tools such as git. Demonstrable experience deploying machine learning solutions in a production environment. Desirables: Experience with AWS/GCP. Desire to build explainable ML models (using techniques such as SHAP). Familiarity with data privacy regulations and experience in applying these to model development. Interview process Interviewing is a two-way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team: Stage 1 - 45 mins with one of the team. Stage 2 - Take-home challenge. Stage 3 - 60 mins technical interview with two team members. Stage 4 - 45 min final with two executives. Benefits: 25 days holiday (plus take your public holiday allowance whenever works best for you). An extra day’s holiday for your birthday. Annual leave is increased with length of service, and you can choose to buy or sell up to five extra days off. 16 hours paid volunteering time a year. Salary sacrifice, company enhanced pension scheme. Life insurance at 4x your salary & group income protection. Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith, and Peloton. Generous family-friendly policies. Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks. Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships, and Electric Vehicle (EV) leasing. About Us You may be put off applying for a role because you don't tick every box. Forget that! While we can’t accommodate every flexible working request, we're always open to discussion. So, if you're excited about working with us, but aren’t sure if you're 100% there yet, get in touch anyway. We’re on a mission to radically reshape banking – and that starts with our brilliant team. Whatever came before, we’re proud to bring together people of all backgrounds and experiences who love working together to solve problems. Starling Bank is an equal opportunity employer, and we’re proud of our ongoing efforts to foster diversity & inclusion in the workplace. Individuals seeking employment at Starling Bank are considered without regard to race, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law.

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