At a Glance
- Tasks: Design and deploy AI/ML models to enhance airline operations.
- Company: Join a premium initiative within British Airways for impactful AI solutions.
- Benefits: Competitive compensation, opportunity for travel, and collaboration with top teams.
- Other info: Exciting chance to work in a dynamic environment with global impact.
- Why this job: Make a real difference in airline operations 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.
BI Data Modeler employer: Lorien
As a leading player in the aviation industry, British Airways offers an exceptional work environment for a BI Data Modeler, where innovation meets operational excellence. Employees benefit from a collaborative culture that fosters professional growth through hands-on experience with cutting-edge AI/ML technologies, alongside competitive compensation and opportunities for international travel. Join us in London to make a tangible impact on airline operations while working with a team dedicated to transforming the future of air travel.
StudySmarter Expert Advice🤫
We think this is how you could land BI Data Modeler
✨Tip Number 1
Network like a pro! Reach out to people in the airline industry or data science circles. Use LinkedIn to connect with current employees at British Airways and ask for informational chats. You never know who might help you land that interview!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI/ML projects, especially those relevant to airline operations. Share it on platforms like GitHub and make sure to highlight any production deployments you've done. This will give you an edge when chatting with recruiters.
✨Tip Number 3
Prepare for the interview by brushing up on your storytelling skills. Be ready to explain how your past experiences can translate into business impact for British Airways. Practice articulating your thought process behind model design and deployment – they’ll want to see your analytical chops!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always looking for passionate individuals who can bring their AI expertise to the table. Let’s make this happen together!
We think you need these skills to ace BI Data Modeler
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the BI Data Modeler role. Highlight your experience with AI/ML, Python, and any relevant projects that showcase your skills in data science and business consulting.
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you're the perfect fit for this role. Share your passion for AI in airline operations and how your background aligns with our needs. Be genuine and let your personality shine through!
Showcase Your Projects:If you've worked on any relevant projects, make sure to include them in your application. We love seeing real-world examples of your work, especially those that demonstrate your ability to take models from design to production.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you're serious about joining our team!
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 and frameworks like TensorFlow or 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 examples of how your data science work has led to tangible business outcomes. Think about times when your insights translated into operational improvements or cost savings, and be ready to share these stories during the interview.
✨Collaborate Like a Pro
Since this role involves working closely with Data Engineering teams, highlight your experience in collaborative environments. Discuss how you've successfully partnered with other teams to ensure model readiness and integration into production workflows.
✨Communicate Effectively
Strong communication skills are key, especially when it comes to storytelling with data. Practice explaining complex concepts in simple terms, and be prepared to demonstrate how you can convey analytical insights to non-technical stakeholders.
