At a Glance
- Tasks: Design and deploy AI/ML models to enhance airline operations.
- Company: Join a leading initiative within British Airways for impactful AI solutions.
- Benefits: Competitive pay, opportunity for travel, and collaboration with top teams.
- Other info: Exciting chance for career growth in a dynamic, high-impact environment.
- Why this job: Make a real difference in the airline industry using cutting-edge AI technology.
- 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.
Tech Data Scientist in London employer: Lorien
Join a forward-thinking team at British Airways, where innovation meets operational excellence. As a Tech Data Scientist, you'll thrive in a collaborative environment that values your expertise in AI/ML while offering competitive compensation and opportunities for professional growth. With a focus on impactful solutions and a culture that encourages creativity and teamwork, this role in London provides a unique chance to contribute to the future of airline operations.
StudySmarter Expert Advice🤫
We think this is how you could land Tech Data Scientist in London
✨Tip Number 1
Network like a pro! Reach out to folks in the airline and data science sectors on LinkedIn. Join relevant groups and engage in discussions. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI/ML projects, especially those related to airline operations. This will give potential employers a taste of what you can bring to the table and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your storytelling skills. Be ready to explain how your past experiences can translate into real business impact. Use examples that highlight your problem-solving abilities and how you've optimised model performance in previous roles.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Tech Data Scientist in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Tech Data Scientist role. Highlight your experience with AI/ML, Python, and any relevant projects that showcase your skills in airline operations or supply chain analytics.
Craft a Compelling Cover Letter:Your cover letter should tell a story about your journey in data science. Connect your past experiences to the responsibilities listed in the job description, especially around delivering scalable solutions and collaborating with teams.
Showcase Your Problem-Solving Skills:In your application, don’t just list your skills; demonstrate them! Include examples of how you've tackled complex problems using advanced statistical methods or machine learning techniques in previous roles.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you’re considered for this exciting opportunity with British Airways!
How to prepare for a job interview at Lorien
✨Know Your AI Inside Out
Make sure you brush up on your AI and ML 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.
✨Be Ready for Real-World Scenarios
Expect to tackle some practical problems during the interview. Brush up on your problem-solving skills and be prepared to walk through your thought process on optimising model performance or building reusable AI components. This will show your ability to think critically and apply your knowledge effectively.
