Connection and Belonging Intern
Xerox
General Information
Hourly: Hourly rates for this position can be shared with you per your location, this rate will fall within the posted range.
Description & Requirements About Xerox Holdings Corporation
For more than 100 years, Xerox has continually redefined the workplace experience. Harnessing our leadership position in office and production print technology, we’ve expanded into software and services to sustainably power the hybrid workplace of today and tomorrow. Today, Xerox is continuing its legacy of innovation to deliver client-centric and digitally-driven technology solutions and meet the needs of today’s global, distributed workforce. From the office to industrial environments, our differentiated business and technology offerings and financial services are essential workplace technology solutions that drive success for our clients. At Xerox, we make work, work. Learn more about us at www.xerox.com.
Country United States Department STUDENT PROGRAMS Date Friday, September 5, 2025 Working time Part-time Ref# 20036381 Job Level Individual Contributor Job Type Internship Job Field STUDENT PROGRAMS Seniority Level Internship Currency USD - United States - US Annual Base Salary Minimum 10,000 Annual Base Salary Maximum 15,000 The salary range above represents the low and high end in the local currency of Xerox’s salary range for this position and is reflected in an annualized amount. Actual salaries will vary based on factors including, but not limited to, geographic location, market competition, and/or the successful applicant’s education, experience, knowledge, skills, and abilities. The range listed is just one component of Xerox’s total compensation package for employees. Employees are also afforded a comprehensive suite of benefits, to view those details please visit Xerox Careers for your applicable country. If you are not reviewing this job posting on Xerox Careers, we cannot guarantee the validity of this posting. For a list of our current internal postings, please visit Xerox Careers.
Hourly: Hourly rates for this position can be shared with you per your location, this rate will fall within the posted range.
Description & Requirements About Xerox Holdings Corporation
For more than 100 years, Xerox has continually redefined the workplace experience. Harnessing our leadership position in office and production print technology, we’ve expanded into software and services to sustainably power the hybrid workplace of today and tomorrow. Today, Xerox is continuing its legacy of innovation to deliver client-centric and digitally-driven technology solutions and meet the needs of today’s global, distributed workforce. From the office to industrial environments, our differentiated business and technology offerings and financial services are essential workplace technology solutions that drive success for our clients. At Xerox, we make work, work. Learn more about us at www.xerox.com.
Role Summary:
This internship offers a unique opportunity to apply machine learning to enhance employee experience through Connection and Belonging and identify productivity gains, early indicators of burnout, or predictive modeling for future behavior. You’ll work with cutting-edge tools to support a culture of belonging at Xerox.
Key Responsibilities:
Leverage machine learning algorithms to generate recommendations for employee engagement and ERG onboarding strategies and event promotion. Collect, clean, and organize data sets; assist with dashboards and reports for stakeholders. Assist in developing and refining AI models to identify predictive behaviors and early indicators of burnout and disengagement. Collaborate with cross-functional teams to translate technical insights into strategic initiatives. Contribute to internal documentation and knowledge sharing. Support the preparation of presentations and reports for leadership and ERG stakeholders.Qualifications:
Currently pursuing a degree in Data Science, Psychology, Organizational Behavior, or related field. Experience with data science tools. Understanding of machine learning concepts and applications. Interest in employee experience, facilitating strong connections to ERGs, community impact initiatives, and organizational development.
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