At a Glance
- Tasks: Lead the development of cutting-edge decision-support software using advanced machine learning techniques.
- Company: Join British Airways, a leader in the airline industry with a focus on innovation.
- Benefits: Enjoy staff travel perks, competitive salary, and opportunities for personal growth.
- Other info: Be part of a diverse team committed to continuous improvement and innovation.
- Why this job: Make a real impact in the airline industry while working with the latest tech.
- Qualifications: Expertise in machine learning, Python, and experience in production-quality software required.
The predicted salary is between 70000 - 90000 £ per year.
You’ll be part of the Operations Delivery Intelligence (ODI) directorate, working within integrated operations product squads to build and embed industrialised decision‑support software products. This area plays a critical role in improving operational outcomes by applying advanced machine learning and optimisation techniques to real‑world decision‑making challenges across the airline.
Responsibilities
- Act as the technical owner of one or more production‑grade data science product codebases
- Lead the end‑to‑end delivery of decision‑support software across the full product lifecycle
- Understand complex operational business problems end to end and identify opportunities for data‑driven optimisation
- Drive modelling and system design decisions, balancing implementation time, system behaviour, technical debt and business value
- Prototype, build and deliver industrialised machine learning and optimisation models in Python
- Design and build robust data ingestion, cleaning and processing pipelines
- Implement orchestration pipelines and CI/CD deployment processes
- Ensure software quality through logging, error handling and automated testing
- Harden algorithms against operational and data edge cases
- Quantify product adoption and value capture
- Engage with business stakeholders to gather requirements and feedback
- Contribute to feature prioritisation and roadmap discussions
- Support integration of decision‑support products into operational business processes
- Communicate modelling approaches, trade‑offs and results clearly to technical and business audiences
- Mentor and support junior team members
- Contribute to agile ways of working, including Git versioning, code reviews and delivery predictability
Qualifications
- Expert capability in applied machine learning, optimisation and operational research techniques
- Strong Python expertise with experience delivering production‑quality data science software
- Experience working with cloud platforms and modern ML tooling
- Strong software engineering discipline including testing, CI/CD and version control
- Ability to structure complex business and technical problems and propose pragmatic solutions
- Clear communication skills across technical and non‑technical audiences
- Collaborative working style with a focus on continuous improvement
- Systems‑thinking mindset with attention to detail
- Curiosity, resilience and adaptability in fast‑moving environments
- Strong commitment to delivering measurable business value
Experience
- Master’s degree or greater in data science, ML, or operational research, or 6+ years of highly relevant industry experience (required)
- 4-6 years working on production ML or optimization software products at scale (required)
- Experience in developing industrialized software, especially data science or machine learning software products (required)
- Experience in relevant business domains (transportation, airlines, operations, network problems) (preferred)
Benefits
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.
Principal Product Data Scientist - Operations Delivery Intelligence in London employer: 慨正橡扯
At British Airways, we pride ourselves on being an exceptional employer, offering our Principal Product Data Scientists the opportunity to work at the forefront of operational innovation within the airline industry. With access to unparalleled staff travel benefits, a commitment to professional growth, and a vibrant culture that champions inclusion and diversity, we empower our employees to thrive in a dynamic environment where their contributions are valued and recognised.
StudySmarter Expert Advice🤫
We think this is how you could land Principal Product Data Scientist - Operations Delivery Intelligence in London
✨Tip Number 1
Network like a pro! Reach out to current employees at British Airways on LinkedIn or through mutual connections. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your best machine learning projects. When you land that interview, having tangible examples will help you stand out and demonstrate your expertise.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions related to data science and optimisation. Mock interviews with friends or mentors can help you articulate your thoughts clearly and confidently.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining the team at British Airways. Don’t miss out!
We think you need these skills to ace Principal Product Data Scientist - Operations Delivery Intelligence in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with machine learning and optimisation techniques. We want to see how your skills align with the role of Principal Product Data Scientist, so don’t hold back on showcasing relevant projects!
Showcase Your Technical Skills:Since this role requires strong Python expertise and experience with production-quality data science software, be sure to include specific examples of your work. Mention any cloud platforms or ML tools you've used, as we love seeing hands-on experience!
Communicate Clearly:Remember, you’ll need to explain complex concepts to both technical and non-technical audiences. Use clear language in your application to demonstrate your communication skills. We appreciate candidates who can bridge the gap between tech and business!
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at British Airways!
How to prepare for a job interview at 慨正橡扯
✨Know Your Stuff
Make sure you brush up on your applied machine learning and optimisation techniques. Be ready to discuss specific projects where you've used Python to deliver production-quality data science software. This will show that you not only understand the theory but can also apply it in real-world scenarios.
✨Understand the Business
Familiarise yourself with the airline industry and the operational challenges it faces. Think about how data-driven optimisation can improve outcomes. Being able to articulate how your skills can directly impact their business will set you apart from other candidates.
✨Showcase Your Collaboration Skills
Prepare examples of how you've worked with cross-functional teams in the past. Highlight your experience in gathering requirements from stakeholders and how you’ve communicated complex modelling approaches to both technical and non-technical audiences. This is crucial for a role that involves mentoring and supporting junior team members.
✨Be Ready for Technical Questions
Expect to dive deep into your technical expertise during the interview. Brush up on CI/CD processes, version control, and error handling. You might be asked to solve a problem on the spot, so practice explaining your thought process clearly and concisely while coding.
