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.