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 and opportunities for international travel.
- Other info: Collaborative team environment with potential for career growth.
- Why this job: Make a real impact by applying AI in complex operational environments.
- 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) employer: Lorien
Join a forward-thinking 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 environment that values your expertise and fosters professional growth. With competitive compensation and the opportunity to work on impactful projects in the heart of London, this role offers a unique chance to shape the future of airline operations while enjoying a supportive and dynamic work culture.
StudySmarter Expert Advice🤫
We think this is how you could land Data scientist (marketing)
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at British Airways or similar companies. Use LinkedIn to connect and engage with them; you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI/ML projects, especially those relevant to airline operations. This will give potential employers a taste of what you can bring to the table.
✨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, especially in the context of MRO AI solutions.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data scientist (marketing)
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, 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 measurable business outcomes.
Showcase Your Technical Skills:Don’t forget to emphasise your technical expertise! Mention your proficiency in TensorFlow or PyTorch and any specific projects where you’ve taken models from design to production. This is key for us!
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 updates!
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 findings 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 some scenario-based questions that test your problem-solving skills in real-world situations. Think about how you would approach optimising model performance or building reusable AI components. Showing your thought process will impress the interviewers!
