FAQs
What is the duration of the internship?
The internship is an 11-week paid learning experience.
What type of projects will I work on during the internship?
Interns will work on hands-on projects that analyze recruitment data, identify challenges, and propose AI-based solutions to optimize T-Mobile's recruitment processes.
Are there any specific skills required for this internship?
Yes, required skills include knowledge of data analysis, familiarity with machine learning algorithms and natural language processing, strong problem-solving skills, and excellent communication abilities.
Is this internship only for students in certain majors?
The ideal candidates should have a bachelor's or master’s degree in data science, computer science, HR tech, or a related field, although students in any relevant program may apply.
Can I apply if I have not yet graduated?
Yes, you may apply if you are actively enrolled in a Bachelor’s or Graduate degree program or if you graduated within the last 12 months.
What is the wage range for this internship?
Intern wages range from $20/hour to $40/hour, based on experience and location.
Is relocation assistance provided for this internship?
Yes, relocation assistance may be provided to program participants who reside more than 50 miles away from the internship location.
What are the preferred qualifications for this internship?
Preferred qualifications include experience in talent acquisition or human resources, familiarity with HR analytics, and certifications in AI, data analytics, or HR technology tools.
Will I receive mentorship during the internship?
Yes, interns will have the opportunity to connect with mentors who will provide guidance and support throughout the internship.
Are international students eligible for this internship?
The employer does not sponsor work visas for this position, so international students in F-1 status seeking sponsorship after their education are ineligible to apply.
What can I expect to achieve by the end of the internship?
By the end of the internship, you will have applied data science in recruitment, defined a problem statement, documented a solution, and developed a final project addressing a key talent acquisition challenge using AI.