At a Glance
- Tasks: Design and deploy AI/ML models to enhance airline operations.
- Company: Join British Airways in a high-impact MRO AI Solutions initiative.
- Benefits: Competitive compensation, opportunity for travel, and collaboration with top teams.
- Other info: Dynamic role with opportunities for professional growth and international exposure.
- Why this job: Make a real impact by applying AI in the aviation industry.
- Qualifications: Strong Python skills and experience in AI/ML model deployment.
The predicted salary is between 60000 - 80000 £ per year.
We are looking for an experienced Data Scientist to join a high-impact MRO AI Solutions initiative embedded within British Airways operations. This is a premium-level opportunity for someone who can combine deep AI/ML expertise with strong business consulting capabilities to deliver scalable, production-ready solutions across airline operations.
Role Responsibilities
- Design and deploy predictive & prescriptive AI/ML models
- Perform exploratory data analysis and advanced feature engineering
- Collaborate closely with Data Engineering teams for model-ready datasets
- Translate analytical insights into business impact and operational improvements
- Continuously optimize model performance in production environments
- Build reusable AI components that can scale across multiple OpCos with minimal rework
Required Skills & Experience
- Strong Python expertise with TensorFlow / PyTorch
- Advanced statistical, analytical, and problem-solving skills
- Experience across ML, Optimization, Simulation, GenAI, and related Data Science domains
- Proven experience taking models from design to production deployment, including monitoring and workflow integration
- Ability to integrate quickly into new teams and deliver immediate value
- Experience in airline operations or supply chain analytics is highly desirable
- Willingness for initial co-location with BA teams in London and international travel during deployment phases
Preferred Consulting-Level Competencies
- Strong executive communication and storytelling skills
- Experience in transformation or consulting-led engagements
- Track record of delivering measurable business outcomes
- Experience developing reusable enterprise-scale AI frameworks and solutions
Compensation
Premium-level role with competitive compensation aligned to UK consultancy benchmarks. Initial location: London (co-located with BA teams)
If you’re passionate about applying AI to complex operational environments and delivering enterprise-scale impact, we’d love to connect.
Data scientist (marketing) in London employer: Lorien
Join a dynamic team at British Airways, where innovation meets operational excellence. As a Data Scientist in our MRO AI Solutions initiative, you'll thrive in a collaborative work culture that values creativity and continuous learning, offering you the chance to make a significant impact in the airline industry. With competitive compensation and opportunities for professional growth, this role is perfect for those looking to advance their career while working in the vibrant city of London.
StudySmarter Expert Advice🤫
We think this is how you could land Data scientist (marketing) in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at British Airways or similar companies. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI/ML projects. Use GitHub or a personal website to demonstrate your Python expertise and model deployments. This is your chance to shine!
✨Tip Number 3
Prepare for interviews by brushing up on your storytelling skills. Be ready to explain how your analytical insights have led to real business impacts in past roles. We want to see you connect the dots!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data scientist (marketing) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Scientist role. Highlight your experience with AI/ML, especially in airline operations or supply chain analytics. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you're the perfect fit. Share specific examples of how you've delivered measurable business outcomes and your experience in transforming data into actionable insights. Keep it engaging!
Showcase Your Technical Skills:Don’t forget to highlight your strong Python expertise and familiarity with TensorFlow or PyTorch. We’re keen on seeing how you’ve taken models from design to production, so include relevant projects or experiences.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Lorien
✨Know Your AI/ML Stuff
Make sure you brush up on your AI and machine learning knowledge, especially with Python, TensorFlow, and PyTorch. Be ready to discuss specific projects where you've designed and deployed models, as well as any challenges you faced and how you overcame them.
✨Showcase Your Business Savvy
This role is all about translating data insights into business impact. Prepare examples of how your analytical work has led to measurable outcomes in previous roles. Think about how you can communicate complex data in a way that resonates with non-technical stakeholders.
✨Collaboration is Key
Since you'll be working closely with Data Engineering teams, highlight your experience in collaborative environments. Be ready to discuss how you've worked with cross-functional teams to ensure model readiness and integration into production workflows.
✨Be Ready for Real-World Scenarios
Expect questions that test your problem-solving skills in real-world situations. Prepare to discuss how you've optimised model performance in production and any experience you have with airline operations or supply chain analytics. This will show your understanding of the industry and its challenges.
