Engine Test Data Intern: ML, Analytics & Visualization

Pratt & Whitney; Town of Florida (NY); On-site; USD 37,000 - 82,000; Full time

Benefits offered by this job

Relocation Eligibility

Job summary

Pratt & Whitney is seeking a technically curious intern to join the data science group working on engine test data and validation support. You will assist with building models, analyses, and dashboards to forecast risk factors and improve testing efficiency.

You will learn about aircraft engine systems, contribute to knowledge assets, and collaborate with engineers across programs while gaining practical experience in a fast-paced aerospace environment.

Qualifications

• Must be pursuing a Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field.
• Active enrollment through the completion of the internship/co-op session.

Responsibilities

• Develop, implement, and maintain predictive models to forecast risk factors.
• Apply statistical models to identify patterns, trends, and anomalies in engine validation datasets to extract actionable insights.
• Design and implement data visualization dashboards and reports to communicate findings effectively.
• Develop and publish new knowledge assets within EKS (ESW, K-Packs, GB, training, etc.)
• Communicate results and insights to technical and non-technical audiences in a clear and concise manner.

Skills

Python

R

Data analysis

Machine learning

SQL

Relational databases

Problem solving

Communication

Collaboration

Education

Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or related field

Job description

Pratt & Whitney is seeking a technically curious intern to join the data science group working on engine test data and validation support. You will assist with building models, analyses, and dashboards to forecast risk factors and improve testing efficiency.

You will learn about aircraft engine systems, contribute to knowledge assets, and collaborate with engineers across programs while gaining practical experience in a fast-paced aerospace environment.