Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Principal Data Scientist - Operational Research, Simulation & ML

British Airways
Greater London
5 months ago
Applications closed

Related Jobs

View all jobs

Principal Data Scientist

Principal Data Scientist

Principal Data Scientist

Principal Data Scientist

Principal Data Scientist

Principal Data Scientist

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:

  1. Lead the design and deployment of optimisation, simulation, and machine learning models to solve high-impact operational challenges.
  2. Develop and embed predictive and prescriptive analytics into production systems to improve operational performance.
  3. Collaborate with stakeholders and software engineers to co-develop and deploy data science products in production.
  4. Prioritise and manage a portfolio of data science and optimisation projects within an agile delivery model.
  5. Translate complex technical insights into clear recommendations for both technical and non-technical audiences.
  6. Build strong cross-functional relationships and use operational research to drive tangible business outcomes.
  7. Foster a culture of innovation, staying up to date with the latest in simulation, optimisation, and MLOps techniques.

What you'll bring to British Airways:

  1. Deep experience in operational research, simulation modelling, or applied machine learning (in production environments).
  2. Hands-on experience building scalable solutions - not just proof-of-concepts or academic models.
  3. Strong Python skills (and/or other relevant languages), with a track record of delivering robust, maintainable code.
  4. Confidence managing end-to-end projects and engaging senior stakeholders with compelling data-driven insights.
  5. A collaborative mindset and excellent communication skills to influence decisions and share complex ideas clearly.

Your experience:

  1. Background in operational research, data science, applied mathematics, or a related field.
  2. Proven success applying advanced optimisation or ML techniques in a business setting.
  3. Experience deploying production-grade models and solutions that deliver measurable improvements.
  4. Passion for solving real-world problems with data, algorithms, and practical, scalable tools.

What we offer:

We believe that all the people who work with us should feel valued for the part they play. It's one of the reasons our rewards go far beyond a competitive salary. From the day you join us, you'll get access to brilliant staff travel benefits including unlimited basic and premium standby tickets on British Airways flights. You'll also receive up to 30 discounted 'Hotline' airfares per year for yourself, friends, and family.

At British Airways you'll have the chance to take on new challenges and move forward in a way that feels right for you. We encourage all those who work for us to consider opportunities right across our business to help you develop and progress. We never stand still, and we don't expect our people to either.

Inclusion & Diversity

At British Airways we all have a part to play in creating an inclusive place to work. Diverse representation among our people is really important to us and we recognise that all our colleagues are uniquely different and bring their own originality, creativity and identity to work. Inclusion and diversity is a key driver of innovation and we're committed to creating a culture where everyone feels that they can be themselves. We're looking for people from all backgrounds and cultures to join us and be a part of our journey to become a Better BA as we continue to connect Britain with the world and the world with Britain.

#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.