Internship - Digital Aviation Solutions

3 weeks ago

Singapore Aviall Boeing Inc. Full time
Job Description

Job Description

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.

Internship Cycle: This opening is for a long-term pipeline preparation, it will be a rolling program with consistent hiring demand, please add your planned internship period in application/resume.

The onboarding date can be discussed in a later stage. Earliest start timing: June/July 2024.

Duration: 6 months preferred, negotiable.

Attendance: Full-time preferred.

Responsibilities include but are not limited to:

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.

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, PyTorchetc

  • 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

Other job related information:

  • This requisition is for a locally hired internship. Candidates must have current legal authorization to work in Singapore. Boeing will not seek immigration and labor sponsorship for any applicants.

  • Relocation assistance is not negotiable.

  • Benefits and pay are determined at the local level and are not part of Boeing U.S.-based payroll.

  • The completion of this internship does not guarantee a full time employment with Boeing Singapore / Jeppesen.



Equal Opportunity Employer:

We are an equal opportunity employer. We do not accept unlawful discrimination in our recruitment or employment practices on any grounds including but not limited to race, color, ethnicity, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military and veteran status, or other characteristics covered by applicable law.

We have teams in more than 65 countries, and each person plays a role in helping us become one of the world's most innovative, diverse and inclusive companies. We are proud members of the and welcome applications from candidates with disabilities. Applicants are encouraged to share with our recruitment team any accommodations required during the recruitment process. Accommodations may include but are not limited to: conducting interviews in accessible locations that accommodate mobility needs, encouraging candidates to bring and use any existing assistive technology such as screen readers and offering flexible interview formats such as virtual or phone interviews.

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