Work Placement / Internship

Data Science - 12 Month Placement

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About Us

There is no better place to start your professional career than with a yearlong internship with GE Aviation. GE interns work together to solve real-world challenges, sometimes spurring innovations that change the way we do business. GE people are global, diverse and dedicated, operating with the highest integrity and passion to fulfil GE’s mission and deliver for our customers.

Join us and you’ll find yourself in a dynamic environment where our ongoing, substantial investment in research and development keeps us moving forward and looking ahead. At GE, developing people is embedded in our culture and integral to our growth. Here you’ll work collaboratively and across functions with the highest calibre talent, utilising cutting-edge technology and processes.

If you’re interested in working within aviation and looking for an internship rich with challenges and unlimited opportunities for growth and development, then join GE. Today, more than ever, the world needs great minds. What the world you.

We Build It

Here at GE Aviation, everyday more than 47,000 people are working around the world to make a difference.

Role Summary

GE Aviation Digital 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 MRO, supply chain and financial operations. We work with airlines on projects ranging from managing aircraft system assets and fleet operations to enhancing passenger experience and satisfaction.

A typical Data Science project starts with a problem statement and dataset and our job is to work alongside our 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, and work with wide-ranging and big data sets.

The successful candidates will work directly within the GE Aviation 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 will also benefit from the experience of being a GE employee, from innovation challenges, employee engagement activities and company awards to working alongside GE’s global and culturally diverse teams.

Useful Information

All internships are available to penultimate/final year students and will start between June to August 2020, for a duration of 12 months.

We currently have internship opportunities with Aviation in Eastleigh (Hampshire). If your preferred location is not currently shown, we would still encourage you to apply, as new locations may become available.

Application deadline is 31st December 2019. However, we review applications on a rolling basis and encourage you to apply ASAP. Vacancies will close once filled.

The selection stages include online assessments, video interview and a final round interview.

Please only submit one application. If you submit multiple applications, we will progress the most suitable one. If in future you are deemed to be suitable for other opportunities, we will automatically consider you for these too.

Candidate Requirements/Skillset

Required Technical Skills/Knowledge

  • Analytical scripting skills – Python and SQL preferred
  • Experience of Machine Learning and advanced analytic techniques

Desirable Technical Skills/Knowledge

  • Big data and platform (e.g. Spark), data science project lifecycle)
  • NLP/Text mining
  • Time-series analytics
  • Version control e.g. GitHub

Person Requirements

  • Currently studying towards degrees related to: Maths, Physics, Data Science and Computer Science
  • Keen interest in Data Science and analytics
  • Interest in working in commercial Aviation
  • Capable of working within a team or independently
  • Good communicator: comfortable communicating complex technical information to a range of stakeholders, including peers, experts and non-experts and customers
  • Able to take ownership for projects and work to time limits
  • Problem-solving skills
  • Proficient in Microsoft Office, particularly PowerPoint
  • Able to roll up your sleeves and get involved in challenging projects
  • Well organised administration skills
  • Inspired and curious
  • Reliable and dependable.

An internship at GE Aviation is an opportunity to learn while doing. At GE Aviation, you’ll work with business leaders in an atmosphere that will challenge you, while doing work that makes an immediate impact.

Applications from job seekers who require sponsorship to work in the UK are welcome and will be considered alongside all other applications. However, non-EU/EEA candidates may not be appointed to a post if a suitably qualified, experienced and skilled EU/EEA candidate is available to take up the post, as the employing body is unlikely, in these circumstances, to satisfy the Resident Labour Market Test. For further information please visit the UK Visas and Immigration website.


How to Apply

Job ID Number: 3358206
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Opportunity Overview

  • December 31st, 2019
  • Competitive + benefits
  • All grades
  • Year-long
  • Eastleigh (Hampshire)
    (Show map)

Preferred Disciplines...

  • Computer Science
  • Data Science
  • Maths
  • Physics

Also Accepting...
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