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 environment with opportunities for professional growth.
- Why this job: Make a real impact by applying AI in the aviation industry.
- Qualifications: Strong Python skills and experience in AI/ML and data science.
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 employer: Lorien
As a leading player in the aviation industry, British Airways offers an exceptional work environment for Data Scientists looking to make a significant impact. With a strong focus on innovation and collaboration, employees benefit from competitive compensation, opportunities for professional growth, and the chance to work alongside top-tier talent in a dynamic setting. The London location provides a vibrant atmosphere, fostering creativity and engagement while allowing for international exposure through travel during deployment phases.
StudySmarter Expert Advice🤫
We think this is how you could land Tech Data Scientist
✨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 noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Tech Data Scientist
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, especially in airline operations or supply chain analytics. We want to see how your skills align with what we're looking for!
Showcase Your Projects:Include specific projects where you've designed and deployed predictive models. We love seeing real-world applications of your skills, so don’t hold back on the details that show your impact!
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you're the perfect fit. Share your passion for AI in operational environments and how you can deliver measurable business outcomes. Make it personal and engaging!
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 StudySmarter!
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 Impact
Prepare to talk about how your data science work has led to tangible business outcomes. Think of examples where your insights translated into operational improvements, especially in airline operations or supply chain analytics, as this will resonate well with the interviewers.
✨Collaboration is Key
Since this role involves working closely with Data Engineering teams, be ready to discuss your experience collaborating with cross-functional teams. Highlight any instances where you’ve successfully integrated your models into production environments and how you ensured smooth workflow integration.
✨Master the Art of Storytelling
Strong communication skills are a must for this role. Practice explaining complex technical concepts in simple terms, and prepare a few stories that illustrate your problem-solving skills and ability to deliver immediate value to new teams. This will help you connect with the interviewers on a deeper level.
