Senior Data Scientist - Operational Research, Simulation & ML (Hiring Immediately)
Location: Hounslow, Greater London
Senior Data Scientist – Operational Research, Simulation & ML
Join to apply for the Senior Data Scientist – Operational Research, Simulation & ML role at British Airways
Senior Data Scientist – Operational Research, Simulation & ML
Join to apply for the Senior Data Scientist – Operational Research, Simulation & ML role at British Airways
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. Senior Data Scientist – Operational Research, Simulation & ML Optimisation Join the Operational Decision Support (ODS) team at British Airways and help shape the future of airline operations. We're looking for a curious and driven Senior Data Scientist with strong experience in simulation, optimisation, or machine learning — particularly when it comes to deploying models into production systems. This is an opportunity to work on complex, high-impact projects where your work won’t sit on a shelf — it’ll be in the hands of the operation, driving real-world decisions every day. What You’ll Do- Develop and implement simulation, optimisation, and ML models that enhance operational efficiency and resilience.
- Contribute to the deployment of predictive and prescriptive analytics into real-world production systems.
- Collaborate with stakeholders and software engineers to bring data science products through to live deployment.
- Work alongside technical and operational stakeholders to design and iterate on decision support tools.
- Translate complex analytical insights into practical recommendations for use across the business.
- Play an active role in shaping the team’s delivery pipeline, including model testing, validation, and MLOps best practices.
- Stay on top of advancements in applied data science, bringing innovative thinking into our ways of working.
- Experience applying operational research, simulation, or machine learning techniques to real-world business challenges.
- Proficiency in Python (or similar), with hands-on experience building production-grade code and models.
- Familiarity with MLOps practices – model lifecycle, monitoring, reproducibility, versioning.
- Strong problem-solving mindset with the ability to take ownership of end-to-end project delivery.
- Excellent communication skills, with the ability to explain complex ideas to both technical and non-technical audiences.
- A collaborative approach – you’ll be working closely with data scientists, software engineers, and operational teams.
- A background in operational research, data science, engineering, applied mathematics, or a related field.
- Experience developing and deploying models that solve optimisation or forecasting problems at scale.
- A solid track record of delivering measurable business value through data-driven projects.
- Passion for building impactful solutions that go beyond experimentation and make a real-world difference.
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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