Internship - Digital Aviation Solutions

at  Boeing

At Boeing, we innovate and collaborate to make the world a better place. From the seabed to outer space, you can contribute to work that matters with a company where diversity, equity and inclusion are shared values. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.
Boeing Global Services Digital Aviation Solutions (Jeppesen APAC) is hiring a Digital Aviation Intern with our Product Research and Incubation (PR&I) team based in Singapore Office (Odeon Towers, 331 North Bridge Road). The intern will work on cutting edge innovations in the digital aviation domain to drive our data science initiatives and build models that can help with making effective decisions. During the internship, the student will gain knowledge in different aspects of aviation industry. Meanwhile, the related trainings will be provided to the intern.

BASIC SKILLSETS AND QUALIFICATIONS:

• Motivated by an international and fast-paced work environment with a strong team spirit and motivational character
• Excellent communication and story-telling skills
• Strong analytical and problem-solving skills

Preferred Skillsets and Qualifications:

• Bachelors or Masters students majoring in Engineering, Computer Science, Mathematics or a related field
• Advanced programming skills in Python and/or R.
• Able to write and execute complex queries using SQL and NoSQL
• Experience in various components of the Hadoop ecosystem (HDFS, Spark, MapReduce etc.)
• Proven experience in ML frameworks or libraries such as Tensorflow, Keras, PyTorch etc
• Able to visualize data using D3.js or visualization tools such as Tableau
• Hand-on experience with deploying models in a cloud environment (Azure, AWS etc.)
• Object oriented software development experience using modern programming languages is a plus
• Prior experience in working with aviation datasets is a plus
• Students enrolled in final year or this internship will be contributed to the graduation is preferred

1) Build and implement state of the art, scalable machine learning and deep learning models to meet the business needs
2) Validate historical data with statistical analysis and deploy machine learning models
3) Drive the data science activities from concept creation to visualization and deployment
4) Collaborate and work closely with application development teams to deploy models in production environment and/or integrate analytics capabilities into API microservices
5) Other tasks and duties requested by management.