About this role
Salary: £64,000 - 104,000 per year
Requirements: Expert capability in applied machine learning, optimisation and operational research techniquesStrong Python expertise with experience delivering production-quality data science softwareExperience working with cloud platforms and modern ML toolingStrong software engineering discipline including testing, CI/CD and version controlAbility to structure complex business and technical problems and propose pragmatic solutionsClear communication skills across technical and non-technical audiencesCollaborative working style with a focus on continuous improvementSystems-thinking mindset with attention to detailCuriosity, resilience and adaptability in fast-moving environmentsStrong commitment to delivering measurable business valueMasters degree or greater in data science, ML, or operational research, or 6+ years of highly relevant industry experience4-6 years working on production ML or optimization software products at scaleExperience in developing industrialized software, especially data science or machine learning software productsExperience in relevant business domains (transportation, airlines, operations, network problems) Responsibilities: Act as the technical owner of one or more production-grade data science product codebasesLead the end-to-end delivery of decision-support software across the full product lifecycleUnderstand complex operational business problems end to end and identify opportunities for data-driven optimisationDrive modelling and system design decisions, balancing implementation time, system behaviour, technical debt and business valuePrototype, build and deliver industrialised machine learning and optimisation models in PythonDesign and build robust data ingestion, cleaning and processing pipelinesImplement orchestration pipelines and CI/CD deployment processesEnsure software quality through logging, error handling and automated testingHarden algorithms against operational and data edge casesQuantify product adoption and value captureEngage with business stakeholders to gather requirements and feedbackContribute to feature prioritisation and roadmap discussionsSupport integration of decision-support products into operational business processesCommunicate modelling approaches, trade-offs and results clearly to technical and business audiencesMentor and support junior team membersContribute to agile ways of working, including Git versioning, code reviews and delivery predictability Technologies: CI/CDCloudGitSupportMachine LearningNetworkODIPython More:
We are British Airways, the nations flag carrier, connecting Britain with the world and the world with Britain for over 100 years. We are seeking a Principal Product Data Scientist to join our Operations Delivery Intelligence (ODI) directorate, working within integrated operations product squads to build and embed industrialised decision-support software products that improve operational outcomes across the airline. We offer competitive rewards, staff travel benefits including unlimited basic and premium standby tickets on British Airways flights, and up to 30 discounted Hotline airfares per year for yourself, friends and family. We also encourage internal growth and development across our business. We are committed to inclusion and diversity, creating a culture where everyone can be themselves and contribute to our journey to become a Better BA.
last updated 36 week of 2026