GE drives the world forward by tackling its biggest challenges: Energy, health, transportation—the essentials of modern life. By combining world-class engineering and more than 125 years of industry experience, GE helps the world work more efficiently, reliably, and safely. Today, it leads new paradigms in additive manufacturing, materials science, and data analytics. GE people are global, diverse and dedicated, operating with the highest integrity and passion to fulfill GE’s mission and deliver for our customers.

General Electric South Africa
Sep 17, 2020
Grants - Awards - Bursaries
General Electric will be awarding bursaries to students within the following fields: Commerce Engineering (all fields) Humanities Health Sciences Social Sciences  The bursary will provide cover for the following expenses: tuition fees, prescribed textbooks, accommodation and a stipend.  ELIGIBILITY REQUIREMENTS Applicants must satisfy the following minimum entry criteria before applying (please note that failure to satisfy all the requirements will lead to your application not being considered): South African citizen Under 30 years old Completed Matric OR currently in Matric Studying or intend on studying full-time within one of the aforementioned fields of study (Undergraduate and Honours studies) Studying or intend on studying at a recognised South African public university Achieved a minimum overall average of 60% in current studies Proven financial need NOT in receipt of funding from another institution or...
General Electric Austin, TX, USA
Jan 07, 2020
Internship
Role Summary: The Data Science & Analytics Intern will give to the development and deployment of modern machine learning, operational research, semantic analysis, and statistical methods for finding structure in large data sets. This position may either be located in Austin, TX or Cincinnati, OH. Join a team with varied strengths and grow! Essential Responsibilities:   In this role, the Data Science & Analytics Intern will perform exploratory and targeted data analyses using descriptive statistics and other machine learning methods such as classification (supervised learning), clustering or association (unsupervised learning) or deep learning/AI (neural network). This includes feature extraction, real time analytics methods, in addition to analytic prototyping, scaling and solutions integration. Work with data engineers on data quality assessment, data cleansing and data analytics. Generate reports, annotated code, and other projects artifacts to...