Principal Data Scientist - Operational Research, Simulation & ML (Hiring Immediately)
Location: Hounslow, Greater London
Principal Data Scientist – Operational Research, Simulation & ML
Join to apply for the Principal Data Scientist – Operational Research, Simulation & ML role at British Airways
Principal Data Scientist – Operational Research, Simulation & ML
Join to apply for the Principal Data Scientist – Operational Research, Simulation & ML role at British Airways
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A career without limits
As the nation’s flag carrier, we take great pride in connecting Britain with the world and the world with Britain.A career without limits
As the nation’s flag carrier, we take great pride in connecting Britain with the world and the world with Britain. It’s something we’ve been doing for over 100 years, ever since we launched the world’s first international scheduled air service between London and Paris. This originality has been in our blood since day one. It’s the spirit we share with the people that fly with us, our partners, and our colleagues. So, whether you are a reassuring voice on the end of a phone, a smile at the door, under a wing keeping the turbines spinning or landing us gently in far-flung places, a job at British Airways is yours to make. We know great things can happen when you’re inspired to think big and bring your ambition to work every day, which is why, at British Airways the sky is never the limit. Principal Data Scientist – Operational Research, Simulation & ML Optimisation Join the Operational Decision Support (ODS) team at British Airways, where we build and deploy advanced optimisation, simulation, and machine learning models to improve the efficiency and resilience of airline operations. We're looking for someone who can take models beyond notebooks and turn them into production-ready tools that make a real-world impact. What You’ll Do- Lead the design and deployment of optimisation, simulation, and machine learning models to solve high-impact operational challenges.
- Develop and embed predictive and prescriptive analytics into production systems to improve operational performance.
- Collaborate with stakeholders and software engineers to co-develop and deploy data science products in production.
- Prioritise and manage a portfolio of data science and optimisation projects within an agile delivery model.
- Translate complex technical insights into clear recommendations for both technical and non-technical audiences.
- Build strong cross-functional relationships and use operational research to drive tangible business outcomes.
- Foster a culture of innovation, staying up to date with the latest in simulation, optimisation, and MLOps techniques.
- Deep experience in operational research, simulation modelling, or applied machine learning (in production environments).
- Hands-on experience building scalable solutions – not just proof-of-concepts or academic models.
- Strong Python skills (and/or other relevant languages), with a track record of delivering robust, maintainable code.
- Confidence managing end-to-end projects and engaging senior stakeholders with compelling data-driven insights.
- A collaborative mindset and excellent communication skills to influence decisions and share complex ideas clearly.
- Background in operational research, data science, applied mathematics, or a related field.
- Proven success applying advanced optimisation or ML techniques in a business setting.
- Experience deploying production-grade models and solutions that deliver measurable improvements.
- Passion for solving real-world problems with data, algorithms, and practical, scalable tools.
Seniority level
Seniority level
Mid-Senior level
Employment type
Employment type
Full-time
Job function
Job function
Engineering and Information TechnologyIndustries
Airlines and Aviation
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