GE Aerospace Data Science Summer Internship with Southampton University

Key Skills

Algorithms, Data science techniques, Github, Machine learning techniques, Natural Language Processing (NLP), Python Programming, SQL, Statistics

Job Description

At GE Aerospace, we believe the world works better when it flies. We are a world-leading provider of jet engines, components, and integrated systems for commercial and military aircraft. Our rich history of inventing the future of flight, our continual investment in research and development, and our talented and innovative people will enable us to rise to the challenge of building a world that works with industry-leading technology and innovation. In fact, we’re already developing our next-generation of technologies to achieve greater fuel efficiency and reduce CO2 emissions with an ambition to be a net-zero company by 2050.

Working at GE Aerospace means you are bringing your unique perspective, innovative spirit, drive, curiosity, and ability to question the status quo to a collaborative and diverse team. It means you will have ideas and we will listen. Here, you will have the opportunity to work on really cool things with really smart people. Work that you will be proud of. Work that really matters. 

Here are just a few of the reasons you will want to consider a career with us:

• You will help solve the global challenge of how the world flies more sustainably. Do work real work with a real purpose.

• Be a part of a global workforce of diverse backgrounds, perspectives, ideas, and experiences where everyone feels supported and respected.
• Learn from the best minds who also want to learn from you.
• Earn merit-based rewards and incentives.
• Have opportunities for continuous learning and development. 

GE Aerospace Digital Technology combines unrivalled strength in the Aviation domain with digital capability to provide business changing outcomes. We are seeking highly motivated individuals to contribute to our digital future. At GE you will work within a team of highly skilled Data Scientists who develop and apply algorithms to extract value from data.

Our 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 Maintenance, Repair and Overhaul (MRO) shops, supply chain and financial operations. A typical Data Science project starts with a problem statement and dataset and our job is to work alongside our GE customers to develop, test and deploy analytics which solve their problems or provide significant insights and improvements to their business. We also develop custom in-house analytic tools which help us deliver our projects efficiently and effectively. Every project is different and gives the opportunity to learn something new. The Data Scientist role combines data and analytics with engineering or applications knowledge. We make extensive use of Machine Learning and Advanced Analytics including Computer Vision; Neural Networks; Multivariate Modelling, Anomaly Detection; Segmentation; Text mining/NLP; Bayesian Reasoning, as well as working with wide-ranging and big data sets.

The successful candidates will work directly within the GE Aerospace Data Science team at our Chandlers Ford office. The team will provide technical support and guidance and arrange access to GE IT systems, appropriate software and data sets. High level technical direction will be provided by Senior Aviation staff.

Interns also get to fully experience being a GE employee, from employee engagement activities and company awards to working alongside GE’s global and culturally diverse teams.

Essential Requirements

• This internship is run with the University of Southampton, so applicants need to be students at Southampton studying Maths; Physics; Physical/Engineering Sciences; Data Science; Computer Science; Mechanical / Aeronautical Engineering or similar STEM course.
• Analytical scripting skills – Python preferred.
• SQL and Version Control (e.g. Github) experience also useful.
• Some experience of Machine Learning and / or advanced statistics.

Desirable Requirements

• A keen interest in Data Science and analytics and working in commercial Aviation.
• Capable of working within a team or independently.
• Able to deliver required tasks to timelines.
• Good communicator: Comfortable communicating complex technical information to a range of stakeholders – peers, experts and non-experts, customers. Powerpoint User.

Recruitment Process

• The recruitment process will consist of a video interview and then Teams interview with one of the team.
• The deadline is 31st December 2023, but we may close earlier dependant on application volumes. Apply early to avoid disappointment.

Total Reward

At GE Aviation we understand the importance of Total Reward.  Our flexible benefits plan, called FlexChoice, gives you freedom, choice and flexibility in the way you receive your benefits, as well as giving you the opportunity to make savings where possible.

As a new joiner to GE we are pleased to be able to offer you the following as default in your benefit fund, which you then can tailor to meet your individual needs;

• Performance based annual bonus 

• Non-contributory Pension          
• Life Assurance
• Group income protection            
• Private medical cover    
• Holiday Hourly equivalent of 26 days, with flexible option to buy or sell

Security Clearance

Baseline Personnel Security Standard (BPSS) clearance is required and must be maintained for this role. Please note that 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. Please see the link below for further details regarding the requirements for BPSS clearance: BPSS

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 the applicable UK immigration rules as may be in place from time to time, it may be that 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 to take up the post. Further, under immigration rules, sponsorship is not available for all posts. For further information please visit the UK Visas and Immigration website.