Data Scientist

Data Scientist at FidornLondon | On-siteFidorn builds AI-powered software for accounting firms. We're working directly with firms to understand how they operate, analyse their workflows and develop technology that automates repetitive work. We're hiring a data scientist who can work with complex, real-world data and turn it into practical solutions. You'll work closely with our engineering team, using operational data to identify opportunities, develop models and improve the performance of our products.The workYou'll analyse large volumes of operational and workflow data to understand how accounting firms work, identify inefficiencies and quantify opportunities for automation.You'll develop and evaluate machine learning models, work with LLM-based systems and design experiments to measure their accuracy, reliability and effectiveness.The role involves working with messy datasets, building data pipelines, testing hypotheses and translating findings into improvements that can be deployed in production.Who we're looking forWe're interested in people with strong mathematical and statistical foundations, excellent analytical skills and the ability to solve difficult problems independently.Experience with Python, SQL, machine learning, statistical modelling or LLM evaluation is particularly relevant. You should be comfortable working with real-world datasets and communicating your findings clearly to engineers and non-technical colleagues.We're open to students, recent graduates and experienced data scientists. What matters is technical ability, intellectual curiosity and evidence that you can turn analysis into useful outcomes.ApplyingApply with your CV and, where possible, a GitHub profile, research paper or examples of relevant projects.We're particularly interested in seeing how you've approached challenging analytical problems, evaluated your methods and translated your findings into practical results.