At a Glance
- Tasks: Lead data science projects to enhance business performance and decision-making.
- Company: Join British Airways, a leader in the airline industry with a focus on innovation.
- Benefits: Enjoy competitive salary, unlimited flight benefits, and opportunities for personal growth.
- Other info: Be part of a diverse team committed to inclusion and continuous improvement.
- Why this job: Make a real impact using advanced analytics and machine learning in a dynamic environment.
- Qualifications: Strong analytical skills and experience in data science tools like Python and SQL.
The predicted salary is between 60000 - 80000 £ per year.
You’ll be part of the Operations Delivery Intelligence directorate, delivering high‑value data science solutions that improve business performance and decision‑making. This team plays a key role in enabling the airline to use advanced analytics, machine learning and data‑driven insight to support critical business decisions and deliver measurable outcomes.
What You’ll Do
- Deliver and manage data science projects from scoping through to delivery
- Scope and structure complex, ill‑defined business problems and develop solutions aligned to business goals
- Acquire, process and analyse large and complex datasets to create high‑quality model inputs
- Design, build and test data science products such as predictive models, optimisation tools and decision‑support systems
- Extract insights from data, identifying trends and patterns and providing actionable recommendations
- Work with software teams to productionise models and deliver application outputs
- Translate analytical results into clear, actionable recommendations
- Provide guidance to stakeholders on how data science solutions improve business outcomes
- Work within cross‑functional business and Digital teams
- Manage, improve and decommission existing data science products to ensure ongoing value
- Monitor industry trends and data science use cases
- Ensure adherence to frameworks, model compliance and ethical standards
- Develop, maintain and share best practice
- Coach and mentor other team members
- Provide ad hoc team cover when required
What You’ll Bring To British Airways
- Strong analytical mindset with the ability to structure complex problems
- Experience delivering data science solutions that support decision‑making
- Ability to communicate complex outputs clearly to a range of audiences
- Confidence engaging and influencing stakeholders
- Experience coaching and mentoring others on projects
- Strong collaborative and consultative working style
- Ethical and responsible approach to data science
- Ability to work effectively in ambiguity
- Proactive, resilient and delivery‑focused mindset
- Continuous improvement approach to ways of working
Your Experience
- Numerate degree or equivalent with data science components
- Experience applying data science, analytics or operational research techniques
- Experience working within data science, data analytics, business intelligence or data visualisation environments
- Strong experience working with tools such as Python, SQL and machine learning techniques
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.
Senior Data Scientist — Operations Analytics & Networks employer: British Airways
British Airways is an exceptional employer, offering a dynamic work environment where data science professionals can thrive. With access to unparalleled staff travel benefits and a strong commitment to employee growth, you will have the opportunity to develop your skills while contributing to innovative projects that shape the future of aviation. Our inclusive culture values diversity and encourages collaboration, ensuring that every team member feels valued and empowered to make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist — Operations Analytics & Networks
✨Tip Number 1
Network like a pro! Reach out to current employees at British Airways on LinkedIn or through industry events. 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 of your data science projects, especially those that align with operations analytics. When you get the chance to chat with hiring managers, share your successes and how they relate to the role.
✨Tip Number 3
Be ready for the interview! Brush up on common data science questions and be prepared to discuss how you've tackled complex problems in the past. Use examples that highlight your analytical mindset and collaborative spirit.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the British Airways team.
We think you need these skills to ace Senior Data Scientist — Operations Analytics & Networks
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with data science solutions. We want to see how your skills align with the role, so don’t hold back on showcasing your analytical mindset and problem-solving abilities!
Showcase Your Projects:When detailing your experience, include specific examples of data science projects you've delivered. We love seeing how you've scoped complex problems and developed actionable insights that improved business outcomes.
Communicate Clearly:Remember, we need to see your ability to communicate complex outputs clearly. Use straightforward language in your application to demonstrate how you can translate analytical results into recommendations for stakeholders.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. We can’t wait to see what you bring to the table!
How to prepare for a job interview at British Airways
✨Understand the Business Context
Before your interview, take some time to research British Airways and its operations. Understand how data science fits into their decision-making processes. This will help you articulate how your skills can directly contribute to their goals.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, SQL, and machine learning techniques. Bring examples of past projects where you’ve successfully delivered data science solutions. Highlight how these experiences align with the role's requirements.
✨Communicate Clearly
Practice explaining complex data science concepts in simple terms. You’ll need to demonstrate your ability to translate analytical results into actionable recommendations for stakeholders. Use examples from your past work to illustrate this skill.
✨Emphasise Collaboration and Mentorship
Since the role involves working within cross-functional teams and mentoring others, be ready to share your experiences in these areas. Discuss how you’ve successfully collaborated on projects and supported team members in their development.
