• Design and implement predictive and prescriptive models for MRO AI Solutions.
• Perform exploration data analysis and feature engineering.
• Collaborate with Data Engineers to ensure data readiness for modeling.
• Communicate findings and recommendations to business stakeholders.
• Continuously improving models based on feedback and operational performance.
• Develop models and analytics that can be generalised and adapted for different OpCos without extensive rework.

• 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 optimisation, 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 client’s 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.

• Ability to frame complex problems and deliver actionable solutions.
• Strong presentation and storytelling skills for executive audiences.
• Experience in high-impact consulting or transformation projects.
• Track record of creating high-impact outcomes and driving stakeholder satisfaction from day one.
• Experience in building reusable AI components and frameworks for enterprise-scale deployments.

What you need to do now

If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.

If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career.