Intern: Validation Engineering - Product Safety, Certification & Validation- (Onsite)

Pratt & Whitney•East Hartford, CT

1d•Onsite

About The Position

Are you ready to explore the world of aerospace and defense? Do you want to learn from and collaborate with some of the greatest minds in the industry? At RTX, our internships, co-ops and full-time careers provide an exceptional foundation to work on complex problems, advance your skills and create a safer, more connected world. Discover opportunities to make a difference at RTX. Pratt & Whitney is working to once again transform the future of flight—designing, building, and servicing engines unlike any the world has ever seen. And because transformation begins from within, we’re seeking the people to drive it. So, calling all curious. Come ready to explore and you’ll find a place where your talent takes flight—beyond the borders of title, a country, or your comfort zone. Bring your passion and commitment and we’ll welcome you into a tight-knit team that takes our mission personally. Channel your drive to make a difference into shaping an organization and an industry that’s evolving fast to the future. At Pratt & Whitney, the difference you make is on display every day. Just look up. Are you ready to go beyond?

Requirements

Pursuing degree in Computer Engineering, Electrical Engineering, Aerospace Engineering or related Science, Technology, Engineering, or Mathematics (STEM) major.
U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract.

Nice To Haves

Programming experience in Python, R, or similar languages.
Experience with data analysis, statistical modeling, and machine learning techniques.
Experience in SQL and working with relational databases.
Experience with aircraft engine systems and validation processes.
Experience collaborating with a team to develop innovative ideas
Experience communicating clear and effective messages to a broad audience

Responsibilities

Develop, implement, and maintain predictive models to forecast risk factors in support of engine validation planning.
Collaborate with cross-functional teams of engineers and other stakeholders to define engine validation data requirements and analyze datasets.
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.