British Airways | Data Science

Uncover company insights and predict customer buying behaviour with our Data Science team.

Data Free 8950+ 5 Star Reviews

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 our 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 are so excited to have you here.

It’s an exciting time to be at British Airways. We’re growing our global route network, investing in our fleet and transforming the experience we offer customers. We are a 24-hour business, operating 365 days of the year, all around the world. It’s a dynamic, fast-paced environment that will bring out the best in you – if you’re ready to embrace responsibility and step up to any challenge. Wherever you join us, you’ll feel proud to play a part in our future as we go further to be the airline of choice.

During this programme, you will have the opportunity to step into the shoes of a British Airways team member and complete tasks that replicate the work that our Data Science team does every day. You’ll learn how to scrape customer review data and build predictive models.

We hope this programme provides a great resource for you to upskill and strengthen your resume as you explore career options and a potential career at British Airways!

Skills you will learn and practice:

Web Scraping

Data Manipulation

PowerPoint

Python

Machine Learning

Data Science

Data Visualisation

How it works

Complete tasks guided by pre-recorded videos and example answers from our team at British Airways. No live sessions, all self-paced.

Earn a certificate and add it to your resume and LinkedIn as an extra curricular activity.

Stand out in applications. Confidently answer interview questions and explain why you’re a good fit for our team.

Introduction from British Airways

Tasks in this program

Task One: Web scraping to gain company insights

1-2 hours

Intermediate

Scrape and analyse customer review data to uncover findings for British Airways

What you'll learn

How data scientists at British Airways apply analytical skills to make tangible impact by providing recommendations, tools, and models that drive key business decisions

What you'll do

Scrape and collect customer feedback by analysing third-party data
Present your insights in using PowerPoint

Reviews

Over 8950

5 Star Reviews

"i do observe British airways is a better platform for improve your skills and thinking and thank you so much for give me this opportunity.."-- Student from Dr. A.P.J. Abdul Kalam Technical University

"I liked the way it helps in developing skills like web scrapping, data cleaning, exploratory data analysis, text analysis ,etc."-- Student from Christ University

"I learned a lot more about the various languages that we use to bring up data such as jupyter, pandas, beautifulsoup, and scikit learn. I learned how to construct an algorithm using a dataset."-- Student from My institution is not listed

"I thoroughly enjoyed my experience participating in the British Airways Data Science program. This course proved to be invaluable in helping me refine my data science skills. What I appreciated most was the practical aspect of working with real-world data, which allowed me to apply my knowledge to real-life projects. This hands-on experience was in..."-- Student from University of Karachi

"It is very helpful program for me I have learn so many topics such as web scrapping and machine learning ideas and I got so much knowledge from this internship and it was very usefull for me as a fresher"-- Student from My institution is not listed

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