Senior Analyst – Data Science

• Lead end-to-end ML and optimisation projects, from concept through deployment and post-launch performance analysis
• Build, test, and refine predictive and prescriptive models that deliver tangible business outcomes
• Collaborate with data engineers and ML engineers to design robust pipelines integrated with CI/CD workflows, ensuring models are reproducible, version-controlled, and continuously deployed with confidence
• Implement monitoring and retraining frameworks to maintain model performance and governance over time
• Contribute to our internal ML frameworks and tooling, streamlining how we experiment, validate, and deploy models at scale
• Partner with stakeholders across the airline to translate complex analytical results into clear, actionable recommendations
• Stay curious
• keep up with developments in ML, GenAI, and responsible-AI practices, bringing new ideas to how we innovate with data

• 5 + years’ experience delivering applied machine-learning projects in production
• Proven record of deploying and maintaining ML models through CI/CD pipelines
• Advanced proficiency in Python (pandas, scikit-learn, PySpark) and SQL
• Experience with ML lifecycle tooling such as MLflow and Databricks
• Strong understanding of testing, version control, containerisation, and monitoring
• Excellent communication skills — able to convey complex ideas clearly to technical and non-technical audiences alike
• A degree, PHD or post-doc experience in a quantitative discipline such as statistics, mathematics, computer science, or a related field

Experience applying GenAI or NLP models to real-world business problems