Data Scientist

Data Scientist – MRO AI Solutions (Embedded in BA) 06 Months contract We are looking for an experienced Data Scientist to join a high-impact MRO AI Solutions initiative embedded within British Airways operations. This is a premium-level opportunity for someone who can combine deep AI/ML expertise with strong business consulting capabilities to deliver scalable, production-ready solutions across airline operations. 🔹 Role Responsibilities • Design and deploy predictive & prescriptive AI/ML models • Perform exploratory data analysis and advanced feature engineering • Collaborate closely with Data Engineering teams for model-ready datasets • Translate analytical insights into business impact and operational improvements • Continuously optimize model performance in production environments • Build reusable AI components that can scale across multiple OpCos with minimal rework 🔹 Required Skills & Experience • Strong Python expertise with TensorFlow / PyTorch • Advanced statistical, analytical, and problem-solving skills • Experience across ML, Optimization, Simulation, GenAI, and related Data Science domains • Proven experience taking models from design to production deployment, including monitoring and workflow integration • Ability to integrate quickly into new teams and deliver immediate value • Experience in airline operations or supply chain analytics is highly desirable • Willingness for initial co-location with BA teams in London and international travel during deployment phases 🔹 Preferred Consulting-Level Competencies • Strong executive communication and storytelling skills • Experience in transformation or consulting-led engagements • Track record of delivering measurable business outcomes • Experience developing reusable enterprise-scale AI frameworks and solutions 💼 Compensation Premium-level role with competitive compensation aligned to UK consultancy benchmarks. 📍 Initial location: London (co-located with BA teams) If you’re passionate about applying AI to complex operational environments and delivering enterprise-scale impact, we’d love to connect.