DT Intern

Digital Twin Intern - GE Aerospace

About GE Aerospace

GE Aerospace is a world-leading provider of jet engines, avionics, and digital solutions for the aerospace industry. We are committed to innovation and developing cutting-edge technologies that shape the future of flight.

Opportunity

Join our team as a Digital Twin Intern and contribute to the development of groundbreaking digital solutions for the aerospace sector. This internship offers a unique opportunity to gain hands-on experience in a dynamic and collaborative environment.

Responsibilities

• Assist in the development and implementation of digital twin models for aircraft components and systems.
• Analyze and interpret data from various sources to enhance digital twin accuracy and performance.
• Collaborate with engineers and subject matter experts to validate and refine digital twin models.
• Contribute to documentation and reporting on digital twin projects.

Qualifications

Education:

• Currently pursuing a Bachelor's or Master's degree in Data Science, Computer Science, Engineering, Mathematics, or a related field.

Technical Skills:

• Proficiency in Python or R programming language.
• Experience with data manipulation and analysis libraries (e.g., Pandas, NumPy, Scikit-learn).
• Familiarity with cloud computing platforms (e.g., AWS, Azure, GCP).
• Basic understanding of machine learning algorithms and techniques.

Other Requirements:

• Strong analytical and problem-solving skills.
• Excellent communication and teamwork abilities.
• Ability to work independently and manage multiple tasks.
• Passion for data-driven solutions and innovation.

Technical Contributions

• Assist in the development and implementation of data-driven solutions for GE Aerospace projects.
• Analyze large datasets to identify trends, patterns, and insights relevant to aerospace engineering challenges.
• Contribute to the development and maintenance of data pipelines and infrastructure.
• Participate in the design and execution of experiments to validate data-driven models and algorithms.

Collaboration and Learning

• Collaborate with engineers, scientists, and other data professionals to translate business needs into technical solutions.
• Actively participate in team meetings and discussions, sharing insights and contributing to project progress.
• Seek opportunities to learn new technologies and methodologies related to data science and engineering.
• Document work clearly and effectively, contributing to the knowledge base of the team.

GE Aerospace is seeking a talented Data Science (DS) Intern to join their dynamic team. The journey begins with an online application, where candidates showcase their skills and experience. A rigorous screening process follows, evaluating resumes and cover letters for relevant qualifications. Shortlisted candidates are invited to participate in a virtual interview, allowing them to demonstrate their technical abilities and problem-solving skills.

Successful interviewees progress to a technical assessment, designed to gauge their proficiency in data science tools and methodologies. Finally, top performers are invited for a final interview with the hiring manager, where they delve deeper into their aspirations and cultural fit within GE Aerospace.

GE Aerospace is a world-leading provider of advanced jet and turboprop engines, as well as integrated digital, sensing, and avionics solutions. With a rich history of innovation and a commitment to sustainability, GE Aerospace powers the world's most sophisticated aircraft and spacecraft.

The company's cutting-edge technologies are trusted by airlines, defense forces, and space agencies worldwide. GE Aerospace fosters a culture of collaboration and continuous improvement, empowering its employees to make a real difference in the aerospace industry. Driven by a passion for pushing boundaries and shaping the future of flight, GE Aerospace is dedicated to delivering exceptional performance, reliability, and customer satisfaction.