Data Scientist B2B SaaS (Price Optimisation for Retail Banks) A fast-growing, profitable B2B SaaS company is looking for an ambitious Data Scientist to help advance its price optimisation platform used by major retail banks. Their software guides mortgage and savings pricing decisions, delivering millions in additional revenue for clients. With a strong UK and Ireland client base and a rapidly expanding pipeline, this is a rare early-stage opportunity in a bootstrapped, high-growth business. This is an exciting time to join the company, with a small but growing set of clients in the UK and Ireland. After recent successes, they have built a very promising pipeline of new clients, with revenues expected to increase significantly in the next year. The company is bootstrapped (no VC or angel investment) and is already very profitable. The Role You ll play a key part in improving and building machine learning models and data pipelines that power the platform. This is a hands-on, proactive role focused on continuous improvement across modelling, automation, and client-facing insights. You will work on: Enhancing ML pipelines: validation, classification, clustering, predictive models, neural networks, optimisation. Automating and streamlining data refresh processes. Producing client presentations and providing pricing insights. RandD on new modelling and optimisation approaches. Supporting business development and pitch materials. What You ll Bring Degree in a STEM field (Maths,