Data Science Graduate Scheme

Data Science Graduate Scheme Job Details | TfL, GLA or OPDC We use cookies to offer you the best possible website experience. Your cookie preferences will be stored in your browser’s local storage. This includes cookies necessary for the website's operation. Additionally, you can freely decide and change any time whether you accept cookies or choose to opt out of cookies to improve the website's performance, as well as cookies used to display content tailored to your interests. Your experience of the site and the services we are able to offer may be impacted if you do not accept all cookies. Modify Cookie Preferences Accept All Cookies Skip to main content View profile View profile View profile Search by Keyword Show More Options Loading... Department All Shift Type All Clear Select how often (in days) to receive an alert: Create Alert × Select how often (in days) to receive an alert: Data Science Graduate Scheme Apply now » Date: 14 Oct 2026 Location: London, TfL Corporate Company: TfL, GLA or OPDC Please note: This role may close soon depending on the level of interest so don’t miss out! Thank you for your interest in applying for this role. We’d like to remind you that you must ensure you are eligible for this scheme before applying. Please read through the eligibility criteria below carefully and ensure that you are eligible before applying. This application will also contain a series of questions to establish whether or not you are eligible. It is important that you take great care in reading and answering these questions as we will not be able to revert your application if an error is made. Please Note: We only allow one application for any of our Graduate schemes per year. Any subsequent applications will be withdrawn. Data Science Graduate Scheme What do ex-grads say have to say about their time on the scheme? Jemima Clifford was asked what a typical day on the scheme looked like: ‘On the data science graduate scheme my day-to-day varied hugely! Sometimes it was a day full of problem solving and trying to fix one tricky bit of code that just didn't want to run. Sometimes I'd take the day to research a new modelling technique that I wanted to try, or I might have been on a training course learning a new coding language. Sometimes I'd be in the office and have a day full of meetings with stakeholders and colleagues where I’d get to present my work or listen to others share theirs. Or sometimes I’d have a quiet day working from home and just get my he