Jobs, fresher vacancy - Senior Data Scientist • UK

Company: Propel

UK

Lead Data Scientist, Computer Vision London, UK (Hybrid) | Full-timeHelp reinvent how the world discovers fashion.We’re building a new era in fashion discovery — one that ignites body confidence in everybody and every body. Imagine Shazam meets Spotify, but for fashion.Our community is tired of endless scrolling, paid ads and dead-end links. They want fashion that actually fits: in stock, in their size, and at the best price. We're creating a search experience that puts people at the centre of discovery.As a female-founded fashion-tech startup, we're at an exciting stage — shaping something genuinely game-changing. Now we’re looking for an exceptional Lead Data Scientist (Computer Vision) to help build the intelligence at the heart of our platform. The RoleThis is a hands-on technical leadership role responsible for architecting and building the computer vision engine powering the platform’s discovery experience.You’ll design, implement and productionise state-of-the-art models across image understanding, embeddings, object detection and emerging agentic AI systems.You’ll work closely with the founders, product and engineering teams to shape the long-term AI and data strategy, making pragmatic technical decisions in a fast-moving startup environment.⚠️ This role is 90% hands-on engineering. It is not a pure management role or a research-only position. What You’ll DoHands-on Computer Vision LeadershipDesign, build and deploy production computer vision and agentic AI systems powering search, recommendations and personalisationOwn the full data science lifecycle: problem framing → modelling → deployment → monitoring → iterationMake pragmatic trade-offs between speed, quality and technical eleganceProduct & User ImpactTranslate messy real-world user problems into testable ML solutionsPartner closely with Product to ensure models improve user trust, confidence and discoveryFocus on feature value, ROI and the signals that truly matterData FoundationsWork hands-on with imperfect datasetsDesign annotation strategies, data quality frameworks and evaluation pipelinesDecide where data investment matters mostTechnical Direction & MLOpsEstablish pragmatic MLOps practices (deployment, monitoring, iteration)Build scalable but lightweight ML pipelines in AWS alongside engineeringEnsure models are robust, reliable and safe for productionTeam & CultureSet the technical bar for data scienceMentor future data scientists as the team growsBring curiosity, humility and ownership to a high-ambiguity startup environment✅ What We’re Looking ForBachelor’s or Master’s in Computer Science, Mathematics or related fieldStrong computer vision expertise and experience fine-tuning state-of-the-art modelsDeep learning experience (e.g. PyTorch, CUDA, model optimisation for training and inference)Strong MLOps and engineering mindset (CI/CD, automated deployment, monitoring)Solid understanding of data engineering, data quality and annotation strategiesComfortable working in fast-paced startup environmentsA simplicity-first mindset — only introduce complexity when it’s neededExcellent communication skills across technical and non-technical audiences Why Join?Build the core AI engine of a breakthrough fashion discovery platformWork directly with founders on product and technical strategyJoin a mission-driven, female-founded startup at a defining growth stageShape a product designed to make fashion discovery more inclusive, empowering and intelligent Interested?We’d love to hear from exceptional builders who want to shape the future of fashion discovery.Apply via LinkedIn or reach out directly.