
GE Aerospace Data Science - 12 Month Placement, Eastleigh
GE AerospaceExpected closing date: Saturday, 31 October 2026
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Key Takeaways
- Undertake a 12-month Data Science Placement combining data and analytics with engineering or applications knowledge.
- Gain experience in AI, Machine Learning, and Advanced Analytics within the aerospace industry.
- This role is a pipeline for the Digital Technology Leadership Programme (DTLP) with the aim of securing a graduate job offer.
- Must be studying a relevant degree and on course to achieve a 2:1 or above, in your penultimate year.
- Applications close on 31 October 2026, but may close earlier.
About the Role
About GE Aerospace
GE Aerospace is advancing aviation technologies for today and tomorrow. Our work contributes to the production of advanced jet engines, components, and integrated systems that power commercial and military aircraft. We are a team that embraces your drive, curiosity, and unique ideas and perspectives, sharing pride and purpose that affects the lives of millions around the world.
Roles and Responsibilities
In this 12-month Data Science Placement, you will combine data and analytics with engineering or applications knowledge. GE Aerospace combines unrivalled strength in the Aviation domain with digital capability to provide business-changing outcomes.
Data Science projects include working with GE Commercial Engines to support all aspects of the engines business, from in-service deployment, fleet monitoring and management to repairs, supply chain and financial operations. A typical project starts with a problem statement and dataset, and the role involves working alongside internal GE customers to develop, test, and deploy analytics that solve their problems or provide significant insights to improve business impact. Custom in-house analytic tools are also developed to deliver projects efficiently and effectively.
Every project is different and offers the opportunity to learn something new. The Data Scientist role combines data and analytics with engineering or applications knowledge. We make extensive use of AI, Machine Learning and Advanced Analytics including Computer Vision; Neural Networks; Multivariate Modelling, Anomaly Detection; Segmentation; NLP; Bayesian Reasoning, as well as working with wide-ranging and big data sets.
Responsibilities Include:
- Applying analytical or ML methods to monitor trends and identify issues.
- Assisting in the development, testing, and deployment of analytics, including dashboards/reports, and the maintenance of existing capabilities.
- Assisting in the preparation of clear and insightful presentations.
- A structured approach to problem-solving.
- Ability to deliver required tasks to timelines.
- Comfortable working within a team or independently.
- Communicating technical information to a range of stakeholders – e.g., peers, experts, non-experts, and customers.
Specific project details will be provided at the interview stage.
You will be guided by structured goals and objectives and will have responsibility to deliver on inspiring projects, supported by your People Leader and team. Coaching and mentoring will be provided, along with the opportunity to connect with other placement students across the UK.
This opportunity is offered at our Eastleigh site, a small, friendly office (c 65 employees) located in Chandlers Ford, within easy walking distance of local railway and bus links. GE Aerospace Eastleigh has a deep history of developing and supplying condition monitoring technology and products to the aerospace sector.
This placement role is an intended pipeline for our Digital Technology Leadership Programme (DTLP) based in Cheltenham. Towards the end of the placement year, graduate applications will open for current placement students, with the aim to secure a role prior to the end of their placement year.
Qualifications/Requirements
- Currently studying a Maths, Physics, Physical/Engineering Sciences, Data Science, Computer Science, or Mechanical/Aeronautical Engineering Bachelor’s or integrated Master’s degree.
- On course to achieve a 2:1 degree or above.
- In your penultimate year of study and returning to education post placement.
- Analytical scripting skills – Python preferred.
- Some knowledge or awareness of AI/ ML/ Advanced statistics methods.
- SQL and Version Control (e.g., GitHub) experience is also useful.
- A keen interest in Data Science and analytics and working in Aerospace.
Desired Characteristics
- Able to roll up your sleeves and get involved in projects.
- Organised & able to work towards deadlines.
- Inspired and curious to learn.
- Strong verbal and written communication skills.
- Able to take ownership for projects.
- Analytical and problem-solving skills.
- Proficient in Microsoft Office.
- Able to work as part of a team.
A placement at GE Aerospace is an opportunity to learn while doing, working with business leaders in an atmosphere that will develop you, while doing work that makes an immediate impact.
Total Reward
Our flexible benefits plan, FlexChoice, gives you freedom, choice, and flexibility. Default benefits include:
- Non-contributory Pension
- Life Assurance
- Group income protection
- Private medical cover
- Holiday: Hourly equivalent of 26 days, with flexible options to buy or sell.
Recruitment Process
The recruitment process includes an initial CV application, followed by a video interview, testing, and an MS Teams online interview. You will be updated at every stage.
If you require any adjustments to the process, please email UKEarly.Careers@geaerospace.com.
Security Clearance
Baseline Personnel Security Standard (BPSS) clearance is required and must be maintained for this role. In the event that BPSS clearance cannot be obtained, you may not be eligible for the role and/or any offer of employment may be withdrawn on grounds of national security.
Right to Work
Applications from job seekers who require sponsorship to work in the UK are welcome and will be considered alongside all other applications. However, under applicable UK immigration rules, candidates who do not currently have the right to work in the UK may not be appointed to a post if a suitably qualified, experienced, and skilled candidate who does not require sponsorship is available. Sponsorship is not available for our Early Careers opportunities. Our placement roles are a pipeline for our graduate roles, so you would need the permanent right to work to be eligible.