Act as a technical authority for advanced analytics, machine learning, and generative AI, defining and evolving best practices for scalable and robust solutions
Provide thought leadership on emerging technologies and methodologies relevant to aviation analytics
Mentor and coach data scientists, supporting continuous learning and technical excellence
Collaborate with product managers, engineers, and domain experts to align data science initiatives with business goals
Translate complex technical insights into clear, actionable recommendations for stakeholders
Lead by example through hands‑on coding, modelling, and solution design
Design, prototype, and validate innovative approaches to high‑impact problems
Partner with engineering teams to deploy models into production environments

Strong experience working with large, complex, real‑world datasets, ideally in aviation or related industries
Expertise in data wrangling, feature engineering, and building scalable data pipelines
Deep expertise in at least one advanced analytics area, with experience across several of the following: predictive modelling on tabular data, deep learning, NLP and large language models, generative AI pipelines, simulations, graph‑based models, time‑series forecasting, geospatial modelling, causal inference, reinforcement learning, optimisation, or anomaly detection
Proven experience deploying, or partnering to deploy, customer‑facing machine learning systems into production
Ability to collaborate across disciplines and communicate technical concepts to non‑technical audiences.

Principal Data Scientist

Key skills