Data Scientist, AI

Job Description

We’re looking for a Data Scientist (AI) to join our growing AI capability and work at the intersection of data science, commercial decision-making and real-world aviation problems.

You’ll work closely with Revenue Management, Commercial and other business teams to identify opportunities where machine learning, optimisation and AI can make a meaningful difference.

You will:

• Develop and deploy machine learning and predictive models to solve complex commercial and operational problems
• Apply forecasting, optimisation and decision science to areas including pricing, demand, inventory and revenue management
• Translate model outputs into clear, actionable recommendations that support better business decisions
• Build robust, explainable and reproducible data science solutions, with strong validation, testing and monitoring
• Explore and apply emerging AI capabilities, including generative AI and LLMs, where they can materially improve decision-making, productivity or automation
• Partner closely with stakeholders to understand their needs, measure impact and ensure solutions are adopted in practice
• Contribute to a modern data science environment with strong engineering, version control and governance practices

What you’ll bring:

We’re looking for someone who combines strong technical capability with commercial curiosity and the ability to work with stakeholders to solve ambiguous problems.

You’ll ideally have:

• 2+ years’ experience developing and deploying machine learning models or decision-support solutions in a commercial, operational or similarly complex environment
• Strong hands-on Python capability across supervised machine learning, predictive modelling and optimisation
• Experience with tools such as LightGBM, pandas and scikit-learn, or equivalent
• A solid understanding of forecasting, machine learning, optimisation and model evaluation
• Experience building reliable, tested and reproducible analytical workflows
• Strong stakeholder and communication skills, with the ability to explain technical concepts and turn them into practical business outcomes
• A degree in Mathematics, Data Science, Computer Science, Engineering or another relevant quantitative discipline, or equivalent applied experience
• Experience with generative AI, NLP or LLM-based applications is desirable, as is experience in pricing, demand, customer or revenue-related analytics.

Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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