Flight Physics Junior Data Science Engineer Placement (12.5 months)

Airbus
Bristol
6 months ago
Applications closed

Overview

Start date: 17 August 2026


Location: Filton, Bristol


Duration: 12.5 months


Application: We love your interest in joining Airbus! There is no limit on the number of positions you can apply for, however, please be aware that you can only progress in the selection process for one position at a time. We recommend reviewing all available opportunities and applying to those that best match your experience and aspirations.


AI Guidance: We know you might be thinking about using AI to help you in your application - before you do, please read our guidelines on the use of AI for recruitment at Airbus http://airbus.com/en/careers/use-of-ai.


Apply early to avoid missing out — we may close adverts once we receive sufficient applications.


Benefits

Salary: £23,400


35 hours per week // Flexible working hours // Hybrid working // Half day Fridays! // 25 days holiday plus bank holidays


About us

Join the Airbus Flight Physics team, where we are responsible for the overall aircraft design activities across all stages of aircraft development, from pre-design work to in-service support. The majority of Flight Physics work is focused on aircraft programmes like the A350XWB and A320neo, as well as future aircraft research. We are also heavily involved in Research & Technology (R&T), capability development, and data science, making our work both varied and interesting.


The Flight Physics function in the UK is made up of four departments that covers a wide range of activities: Aerodynamics, Loads and Aeroelastics, Mass Properties, and Flight Physics Capability & Strategy.


This internship is based within the Flight Physics Capabilities and Strategy team and they are responsible for developing the diverse range of tools and capabilities used by Flight Physics, and we are exploring how to apply new technologies such as Design Space Exploration, Artificial Intelligence, Machine Learning, and Data Analytics to our business.


What you will be doing

Interns make a significant contribution to Flight Physics. You will be given responsibility and ownership of your tasks during your internship, doing real and challenging work within your team and experiencing a wide range of technical topics. This internship is for a Junior Data Science Engineer and will consist of a main project focussed around data analytics and visualization of Flight Physics data but will also include additional shorter tasks alongside to give exposure to other subjects.


On your main project you will be supporting the development of frameworks for visualization (based on a three-tier web app architecture) that will enable Engineers to produce a wide range of customisable visualizations reliant on both static and dynamic data. You will also contribute to innovation projects by applying modern data analytics and machine learning algorithms to analyze Flight Physics data sets with a focus on generating visualizations that will act as a lever to kick off strategic transformations.


Interns make a significant contribution to Flight Physics. You will be given responsibility and ownership of your tasks during your internship, doing real and challenging work within your team.


Requirements

Our placements are open to Undergraduates only. Therefore it is mandatory for candidates to be an undergraduate for the whole duration of the placement. Please inform your graduation date on your application.


Your application should include a CV along with a Cover Letter outlining your motivation and suitability for the role.


Successful candidates will be able to demonstrate the following:



  • An undergrad studying for at least two years in Computer Science, Data Science, Physics, Engineering or a similar technical subject;
  • Some experience with software development / coding;
  • Naturally curious and excited to build understanding;
  • Ability to manage problems, communicating effectively to resolve them in a fast-paced environment;
  • Proactive, love to learn and be able to focus on your own self development;
  • Creativity and desire to innovate and develop new capabilities.


Prior Knowledge in the following languages and frameworks would be advantageous but not required



  • Python;
  • Dash & Plotly;
  • React;
  • Typescript.


SECURITY CLEARANCE: You will be subject to a BPSS (Baseline Personnel Security Standard) check. You may also need to gain UK SC-level Security Clearance or Export Control, depending on the role.


Contact

Please let us know if you need us to make any adjustments to allow you to access and participate fully in the recruitment process. If you wish to discuss this further please contact us. Any information disclosed will be treated in the strictest confidence.



Company

Company: Airbus Operations Limited


Employment Type: Internship


Experience Level: Student


Job Family: Support to Management


By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus.


Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief.


Airbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to .


At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.


#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Where to Advertise Data Science Jobs in the UK (2026 Guide)

Advertising data science jobs in the UK requires a different approach to most technical hiring. Data science spans a broad and often misunderstood spectrum — from statistical modelling and experimental design through to machine learning engineering, product analytics and AI research. The strongest candidates identify firmly with specific subdisciplines and are frustrated by adverts that conflate data scientist with data analyst, business intelligence developer or machine learning engineer. General job boards produce high application volumes for data roles but consistently fail to match specialist data science profiles with the right opportunities. This guide, published by DataScienceJobs.co.uk, covers where to advertise data science roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.