Data Science Apprenticeship
BRITISH AIRWAYS (BA) LIMITED
Harmondsworth (UB7 0GB)
Closes in 31 days (Thursday 19 November 2026)
Posted on 19 October 2026
Contents
Summary
You will gain experience across a range of product teams within our Insight & Innovation Data and AI department, developing the skills and knowledge to use data to solve business challenges and inform decision-making. Alongside your role, you will work towards a BSc Data Science (Integrated Degree) Level 6 Apprenticeship Standard.
- Wage
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£27,611 a year
Minimum wage rates (opens in new tab)
We have many benefits for apprentices at British Airways, here are a handful to showcase the diversity of our apprentice community:
- Increase in salary after you have completed the first year of your apprenticeship, if completed in line with your development objectives
- Training course
- Data scientist (integrated degree) (level 6)
- Hours
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Monday to Friday 9am to 5pm, including study-day.
37 hours 30 minutes a week
- Start date
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Wednesday 1 September 2027
- Duration
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3 years
- Positions available
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5
Work
Most of your apprenticeship is spent working. You’ll learn on the job by getting hands-on experience.
What you'll do at work
You will join our Data and AI team, who have exceptional technical skills and first-class business knowledge, using techniques from the fields of data science, data engineering and data visualisation.
The Data and AI team work with different directorates across our business to collate, cleanse and analyse different data to produce reports to drive strategic decision making across BA.
Where you'll work
Waterside PO BOX 365 Speedbird Way
Harmondsworth
UB7 0GB
Training
Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.
Training provider
NORTHEASTERN UNIVERSITY - LONDON
Training course
Data scientist (integrated degree) (level 6)
Understanding apprenticeship levels (opens in new tab)
What you'll learn
Course contents
- Identify and clarify problems an organisation faces, and reformulate them into Data Science problems. Devise solutions and make decisions in context by seeking feedback from stakeholders. Apply scientific methods through experiment design, measurement, hypothesis testing and delivery of results. Collaborate with colleagues to gather requirements.
- Perform data engineering: create and handle datasets for analysis. Use tools and techniques to source, access, explore, profile, pipeline, combine, transform and store data, and apply governance (quality control, security, privacy) to data.
- Identify and use an appropriate range of programming languages and tools for data manipulation, analysis, visualisation, and system integration. Select appropriate data structures and algorithms for the problem. Develop reproducible analysis and robust code, working in accordance with software development standards, including security, accessibility, code quality and version control.
- Use analysis and models to inform and improve organisational outcomes, building models and validating results with statistical testing: perform statistical analysis, correlation vs causation, feature selection and engineering, machine learning, optimisation, and simulations, using the appropriate techniques for the problem.
- Implement data solutions, using relevant software engineering architectures and design patterns. Evaluate Cloud vs. on-premise deployment. Determine the implicit and explicit value of data. Assess value for money and Return on Investment. Scale a system up/out. Evaluate emerging trends and new approaches. Compare the pros and cons of software applications and techniques.
- Find, present, communicate and disseminate outputs effectively and with high impact through creative storytelling, tailoring the message for the audience. Use the best medium for each audience, such as technical writing, reporting and dashboards. Visualise data to tell compelling and actionable narratives. Make recommendations to decision makers to contribute towards the achievement of organisation goals.
- Develop and maintain collaborative relationships at strategic and operational levels, using methods of organisational empathy (human, organisation and technical) and build relationships through active listening and trust development.
- Use project delivery techniques and tools appropriate to their Data Science project and organisation. Plan, organise and manage resources to successfully run a small Data Science project, achieve organisational goals and enable effective change.
Training schedule
Requirements
Essential qualifications
GCSE in:
A Level in:
Share if you have other relevant qualifications and industry experience. The apprenticeship can be adjusted to reflect what you already know.
Skills
- Communication skills
- Organisation skills
- Customer care skills
- Number skills
- Team working
About this employer
At British Airways, we believe anyone can bring new and original ideas to the table. It’s why we invest in our emerging talent and offer them opportunities to work on projects that sit at the very heart of our airline.
Our Emerging Talent programmes offer a boarding pass to a great future, one where you’ll be able to make an impact right from the moment you join us. If you’re inspired to help shape the future of air travel and you’re ambitious to learn, then we’re ready to help you spread your wings.
https://careers.ba.com/search-jobs (opens in new tab)
Company benefits
- Involvement in our ambitious sustainability vision, volunteering an active role to champion specific community groups
- Volunteering in schools and colleges to inspire, motivate and coach students and support their potential to gain employment
- Access to heavily discounted flights to globe trot, and a generous annual leave entitlement to turn your bucket list into reality
After this apprenticeship
Your earnings can increase over time with an apprenticeship. Find out about potential future pay (opens in new tab).
Look to secure a role within British Airways.
Ask a question
The contact for this apprenticeship is:
NORTHEASTERN UNIVERSITY - LONDON
The reference code for this apprenticeship is VAC2000059816.
Apply now
Closes in 31 days (Thursday 19 November 2026)
After signing in, you’ll apply for this apprenticeship on the company's website.