Proficiency in Python and ML frameworks (TensorFlow, PyTorch). Strong statistical and analytical skills. Experience with a wide range of Data Science techniques (e.g. ML, Optimisation, Simulation, GenAI, etc.). Demonstrated ability to take models from design through to production deployment, including performance optimization, monitoring, and integration into business workflows beyond proof-of-concept or prototype stages. Familiarity with airline operations or supply chain analytics is desirable. Significant experience in similar roles, with a proven ability to integrate quickly into new teams and deliver immediate value. Initial co-location with BA teams in London is essential to ensure close collaboration. Candidates must also be prepared to travel internationally during later stages to facilitate group-wide deployment.