Research Center Training Program - Data Science

Howmet Aerospace Inc.

(NYSE: HWM), headquartered in Pittsburgh, Pennsylvania, is a leading global provider of advanced engineered solutions for the aerospace and transportation industries.

Our primary businesses focus on jet engine components, aerospace fastening systems, titanium structural parts and forged wheels.

With $7.4 Billion in revenue in 2024, our products play a crucial role in enabling fuel efficiency and lightweighting, contributing to our customers' success and making a positive impact on the world.

To learn more about the way Howmet Aerospace Inc.

is advancing the sustainability of our customers, markets, and communities where we operate, review the 2024 Environmental Social and Governance report at www.howmet.com/esg-report .

Follow: LinkedIn , Twitter , Instagram , Facebook , and YouTube .
Equal Opportunity Employer:

Howmet is proud to be an Equal Employment Opportunity employer.

We are committed to creating an inclusive environment for all employees.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or other applicable legally protected characteristics.

If you need assistance to complete your application due to a disability, please email TalentAcquisitionCoE_Howmet@howmet.comBasic Qualifications


* Pursuing a BS in Data or Computer Science from an accredited institution with a Fall 2025 or Spring 2026 graduation date.


* Previous internship or co-op experience in a data or computer science field is required.


* Candidates must be willing to relocate during the program.


* Employees must be legally authorized to work in the United States.

Verification of employment eligibility will be required at the time of hire.

Visa sponsorship is not available for this position.


* This position entails access to export-controlled items and employment offers are conditioned upon an applicants ability to lawfully obtain access to such items

Preferred Qualifications


* Previous internship or co-op experience in a manufacturing environment highly desired.


* Knowledge of MS Office and Excel, excellent written and oral communication skills, able to work in a self-directed and team environment and have good organizational skills.


* Working knowledge of statistical analysis.


* Knowledge/exposure to facilities engineering


* Demonstrated technical ability through classwork, internships/co-ops and projects.


* Ability to work with and lead a team.


* Knowledge of Six Sigma and lean manufacturing.


* Desire to work in an advanced manufacturing environment.


* Strong analytical abilities.

The Training Program - Data Science Team provides technical training & development for entry level data analysts and data scientists that are interested in the processes, technologies, & manufacturing steps in investment casting that are used at H...