British Airways | Data Science

Get Career Ready

Complete work that simulates life on the job. 3-4 hours and self-paced.

Stand out in your application to British Airways. Show us you're a motivated candidate.

Get Career Ready

Complete work that simulates life on the job. 3-4 hours and self-paced.

Stand out in your application to British Airways. Show us you're a motivated candidate.

Why complete this job simulation

A risk-free way to experience work on the job with us at British Airways. Practice your skills with example tasks and build your confidence to ace your applications.

Self-paced3-4 hoursNo gradesNo assessmentsIntermediate

Welcome to our programme – we're thrilled to have you on board!

It’s an exciting time to be at British Airways. We’re expanding our global network, investing in cutting-edge technology, and transforming the experience we offer to customers. As a 24/7 business operating across the globe, we thrive in a dynamic, fast-paced environment—one that brings out the best in those who are ready to step up and take on new challenges. No matter where you join us, you’ll play a vital role in shaping the future of the airline.

In this virtual experience, you’ll step into the shoes of a British Airways team member on our Data Science team. Across two tasks, you’ll work on real-world challenges that impact British Airways operations and customer strategy. First, you’ll support our Airport Planning team by helping forecast lounge demand at Heathrow Terminal 3. Then, you’ll shift focus to customer acquisition, where you'll build and evaluate a predictive model to identify future holiday travelers.

This programme is designed to help you gain insight into the kind of work we do at British Airways. We hope it provides a valuable opportunity to upskill, grow your confidence, and take a step closer to your future career. Let’s get started!

Skills you will learn and practice:

Data Modeling

Assumption Development

Infrastructure Planning

Communication

Machine Learning

Data Science

Data Visualization

PowerPoint

How it works

Introduction from British Airways

Explore Our Job Sims

Tasks in this program

Task One: Modeling lounge eligibility at Heathrow Terminal 3

1-2 hours

Intermediate

Help British Airways plan for future lounge demand using strategic data modeling.

What you'll learn

How using airline data and modeling helps British Airways forecast lounge demand and plan for future capacity planning

What you'll do

Review lounge eligibility criteria and explore how customer groupings can inform lounge demand assumptions
Create a reusable lookup table and written justification that British Airways can apply to future flying schedules

Reviews

Over 15250

5 Star Reviews

"In this Programm i like the Tasks of 1 and 2 its very helpful for me an increase my knowledge and skills i strongly Recommended"-- Student from University of Burdwan

"I had the chance to work on real questions based on real data and I really enjoy it. However, this is just the starting point of the overall duties of a data scientist. Also, this job requires a level of depth that it could not be showed in this brief virtual internship. Overall, I can say without regrets that I'm definitely pleased with this exper..."-- Student from Utrecht University

"By working on 2 tasks from British Airways data teams, I had my hands-on experiences in real problems, I really recommend it."-- Student from Hanoi University of Science and Technology

"Wow i've always believed advanced data analytics was impossible but the systematic approach in this course made it a reality I finally got my hands working in web scrapping and machine learning I'm so happy."-- Student from Covenant University

"This work from home job simulation program has really helped me in boosting up my practical skills on real time data. Acknowledging to the fact that at the beginning I was nervous because I was lagging in representing my analysis professionally, but yes, now I am not at that digit of the number line where I was at Initial."-- Student from Amity University

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