GE Vernova WIND HR Internship - 2027

About the role

As an intern of the Wind Services HR team, you will be an active contributor in exploring AI and digital solutions that improve HR service delivery, reduce administrative burden, and enable more strategic use of team resources. Additionally, you will analyze HR processes and employee touchpoints to identify opportunities for automation, improved data insights, and enhanced user experiences while ensuring appropriate governance and compliance.

Responsibilities

• Support the evaluation of AI and digital technologies that can improve HR service delivery, enhance employee experiences, and increase operational efficiency.
• Analyze existing HR processes and workflows to identify opportunities for automation, simplification, and administrative burden reduction.
• Conduct research on emerging HR technologies, industry trends, and best practices to inform recommendations and continuous improvement initiatives.
• Gather, organize, and analyze HR data to identify insights, measure process effectiveness, and support data-driven decision-making.
• Partner with HR team members and business stakeholders to understand pain points and help develop technology-enabled solutions.
• Assist in testing, piloting, and assessing new tools and technologies, including documenting findings, outcomes, and recommendations.
• Support the development of process documentation, user guides, and communications related to new digital solutions and process improvements.
• Ensure all recommendations and technology initiatives align with company policies, data privacy requirements, and established governance standards.

Requirements

• Currently pursuing a Bachelor's or Master's degree in Human Resources, Business Administration, Information Systems, Data Analytics, Industrial/Organizational Psychology, Computer Science, or a related field.
• Basic analytical skills with the ability to collect, organize, and interpret data to identify trends and opportunities.
• Experience using Microsoft Office applications, particularly Excel and PowerPoint.
• Strong written and verbal communication skills with the ability to present findings and recommendations clearly.
• Ability to manage multiple priorities, work independently, and collaborate effectively within a team environment.

Qualifications (Preferred)

• Passion for process improvement, digital transformation, and applying AI technologies to solve real-world business challenges.
• Curiosity, analytical thinking, and a proactive approach to identifying opportunities for innovation.
• Experience with data analysis, technology-enabled projects, workflow automation, or researching and evaluating emerging technologies (e.g., AI tools such as agents).

Benefits

• Relocation Assistance: Reimbursement for reasonable, proper, and documented expenditures incurred while initially reporting to work and returning to school/home upon completion of the assignment (for employees with a permanent address greater than 50 miles away from the work location).
• Housing Allowance: Weekly housing allowance to help offset living expenses when the intern’s permanent residence is at least 50 miles away from the work location.
• Employee Assistance Program: 24/7 confidential assessment, counseling, and referral services.
• GE Vernova Retirement Savings Plan (RSP) eligibility after 90 days of accumulated service (eligibility occurs on the 1st of the month following the 90th day).
• Healthcare benefits: Medical, dental, vision, and prescription drug coverage; access to a 24/7 nurse-based Health Coach; and Employee Assistance Program.
• Retirement benefits: Tax-advantaged 401(k) savings with company matching and retirement contributions, plus access to Fidelity resources and financial planning consultants.
• Other benefits: Tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, 40 hours of personal business time, 160 hours of personal illness and caregiving time, and two weeks of annual vacation (pro-rated based on start date).

Pay

The pay range for this position is $1,000–$2,000 USD weekly. The specific pay offered may be influenced by the candidate’s experience, education, and skill set.