Data Scientist

Data Scientist (LLMs & Conversational AI)About the roleWe are building production conversational AI systems powered by large language models, speech AI, and real-time AI workflows.We’re hiring two Data Scientists to join our LLM team, helping design, improve, and evaluate the systems that power our Conversational AI products in production. The focus is on defining, interrogating and solving complex modelling and evaluation problems, and building the data and experimentation foundations that will generate systematic advances in conversational AI.You’ll work closely with researchers, engineers, and evaluation teams across areas such as LLM behaviour and reasoning, prompt optimisation, conversational quality, and model evaluation.We’re particularly interested in people from strong quantitative backgrounds including Mathematics, Physics, Statistics, Computer Science, or related fields, who enjoy piecing together difficult problems, thinking rigorously, and working in environments driven by research and experimentation.What you’ll doDesign and use datasets, experiments and evaluation methods to gain detailed and intimate knowledge of our conversational AI solutions.Identify opportunities to improve quality, reliability, and performance through research and experimentationStatistically investigate how changes to prompts, pipelines, models, or system logic impact real-world outcomesThink creatively about edge cases that might expose flaws in a system, and devise and test different ideas about how to handle those cases without harming global performanceDevelop tests and metrics that capture the many nuances of user requirements, rather than uncritically relying on industry-standard proxies that might obscure underlying issuesAdvance the building blocks behind LLM-powered systems, including classification, ranking, retrieval, scoring, and conversational workflowsCollaborate with engineering and evaluation teams to turn product problems into measurable AI problemsStay up to date with the latest research and critically apply new ideas to production AI systems, separating out strong, flexible approaches from fragile hypeWhat we’re looking forDegree, MSc, or PhD in Mathematics, Physics, Statistics, Computer Science, or a similarly quantitative fieldStrong Python skills with experience using tools such as pandas, NumPy, and scikit-learnExperience working with data science, experimentation, statistical analysis, or machine learning systemsCuriosity around the finer details of LLMs, NLP, or conversational AIAbility to think critically about model behaviour and system performance rather than simply training modelsSceptical mindset: you are uncomfortable with taking any assumption as given, and you examine new ideas with an open but critical mindComfortable working in fast-moving, collaborative environments with ambiguous problemsWhy join usWork on real-world conversational AI systems used in productionSolve difficult applied AI problems in a highly collaborative environmentJoin a research-driven team working across LLMs, speech AI, and evaluationInfluence how AI systems are measured, improved, and deployed at scale