Principal Data Scientist - Operations
Role details
Job location
Tech stack
Job description
Principal Data Scientist
You'll be part of the Digital directorate within Data & AI, leading the delivery of high-value data science products that support and automate decision-making across critical business areas. This team plays a vital role in unlocking value from data, driving optimisation and enabling evidence-based decisions across the airline.
What you'll do:
- Lead the end-to-end delivery and lifecycle management of data science products and initiatives
- Scope and frame ill-defined business problems and define data science solutions aligned with business goals
- Manage and coach data science teams delivering predictive models, optimisation engines and decision-support tools
- Design, build and deploy production-ready data science solutions that integrate with business processes and digital platforms
- Ensure quality, timely delivery and ongoing value of data science products
- Acquire, process and analyse large and complex datasets to create high-quality model inputs
- Translate analytical outputs into clear, actionable business recommendations
- Provide guidance to stakeholders on how data science solutions improve business outcomes
- Oversee improvements, maintenance and decommissioning of existing data science products
- Ensure adherence to published frameworks, best practice, model compliance and ethical standards
- Monitor industry trends and advancements in data science
- Work collaboratively within cross-functional Agile squads
- Contribute to feature prioritisation and road-mapping, balancing speed and long-term value
- Lead and embed effective agile ways of working, including engineering standards and delivery discipline
Requirements
- Strong analytical mindset with the ability to structure ambiguous problems
- Proven technical leadership in data science and machine learning delivery
- Ability to communicate complex technical concepts clearly to senior and non-technical audiences
- Confidence challenging constructively and influencing senior stakeholders
- Strong stakeholder relationship-building capability
- Experience coaching, developing and line-managing others
- Ethical and responsible approach to data science and AI
- Collaborative, empowering and resilient working style
- Continuous improvement mindset with a strong focus on business impact
Your experience:
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Numerate degree or equivalent with data science components Experience of leading others in
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ing data science to business problems
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Experience in developing industrialised software, especially data science or machine learning software products
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Experience in relevant business domains (transportation, airlines, operations, network problems) (preferred)