Summer Tech, AI & Data Internship

Ally

Charlotte (NC)

On-site

USD 52,000 - 69,000

Full time

42 hours ago
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Benefits offered by this job

Total rewards program
401K matching
Tuition reimbursement
Healthcare benefits

Job summary

Ally Financial invites interns to grow from Educated to Experienced by working with diverse teams across the country. The internship provides hands-on projects, mentorship, and exposure to leadership, with a focus on developing technical and professional skills.

During the 11-week program, you'll collaborate with AI & Analytics and Enterprise Technology teams, gain real-world experience in data analysis and cross-functional communication, and participate in a structured orientation and career

Qualifications

  • Rising Junior or Senior in a full-time undergraduate program or pursuing a Master's program.
  • Majoring in computer science or a relevant technical field.
  • Moderate understanding of Python or SQL.
  • Excellent leadership, interpersonal and communication skills.
  • Demonstrates learning agility, analytical thinking, problem-solving, and technical acumen.
  • Available for the full duration of the internship program.
  • Eligible to work in the US for any employer without sponsorship.

Responsibilities

  • Collaborate with AI & Analytics and Enterprise Technology teams on data and analytics projects.
  • Analyze data, communicate findings, and contribute to cross-functional initiatives.
  • Interact with Ally's leadership and participate in mentorship and development opportunities.
  • Support project-based work and learn through hands-on experiences during the 11-week program.

Job description

Ally Financial invites interns to grow from Educated to Experienced by working with diverse teams across the country. The internship provides hands-on projects, mentorship, and exposure to leadership, with a focus on developing technical and professional skills.

During the 11-week program, you'll collaborate with AI & Analytics and Enterprise Technology teams, gain real-world experience in data analysis and cross-functional communication, and participate in a structured orientation and career

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