Paid Summer Data Science Intern — Healthcare AI & ML

CareSource

United States

Hybrid

USD 41,000 - 66,000

Part time

3 days ago
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Benefits offered by this job

Mentorship program
Paid internship program
Flexible work options (on-site, hybrid
Professional development

Job summary

CareSource offers a 12-week paid summer internship for college students to gain real-world experience in data science and AI projects using healthcare data. Interns work with Python on challenging initiatives and receive mentorship from leaders, with opportunities to pursue full-time roles.

The program includes seminars, project-based work, and exposure to CareSource’s culture, with on-site, hybrid, and remote options to accommodate diverse locations.

Qualifications

  • Proficient with Microsoft Office Suite (Outlook, Word, Excel, PowerPoint).
  • Strong written and verbal communication skills.
  • Ability to work in a fast-paced environment.
  • Ability to work independently and within a team.
  • Effective listening and critical thinking skills.

Responsibilities

  • Support data science, machine learning, and AI projects using Python and healthcare data.
  • Explore AI technologies (LLMs, RAG, fine-tuning, agentic AI) for applications in healthcare and business.
  • Develop and test ML, forecasting, CV, NLP, or analytics solutions based on intern interests.

Skills

MS Office Suite
Communication skills
Teamwork
Independent work
Active listening
Confidential information handling
Problem solving

Education

High School Diploma or equivalent
Rising Junior or Senior or recent graduate

Job description

CareSource offers a 12-week paid summer internship for college students to gain real-world experience in data science and AI projects using healthcare data. Interns work with Python on challenging initiatives and receive mentorship from leaders, with opportunities to pursue full-time roles.

The program includes seminars, project-based work, and exposure to CareSource’s culture, with on-site, hybrid, and remote options to accommodate diverse locations.

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