AI/Machine Learning Internship (Summer 2025)
OH-Dublin-Cardinal Place
Cardinal Health
The Summer Internship Program allows students the opportunity to work on meaningful, business-essential projects that will give them the hands-on experience they need to build a solid foundation for their future. The program targets undergraduate students between their junior and senior year, and acts as a pipeline for full-time employment. As an intern, students will have the opportunity to participate in a formalized program, designed to increase knowledge of Cardinal Health and the healthcare industry, as well as develop essential leadership skills and interview for full-time employment upon successful completion of the internship program.
Locations: : Dublin, Ohio (Applicants must be open to relocation if necessary)*
Start Date: May 19 or 27, 2025
Hours: Approximately 40 hours a week for a minimum of 10 weeks
*Assistance with temporary housing is provided for students not local to the internship location.
Why Choose the Cardinal Health Summer Internship Program?
Experience: Interns work with Cardinal Health professionals, business partners, customers and vendors on impactful projects in addition to daily work. To enhance leadership skills, each intern also participates on an intern planning committee. At the end of the summer, each intern will showcase their work in a presentation to business leaders.
Networking: Interns learn from key business leaders through the “Executive Speaker Series”. They also have the opportunity to network with other professionals through formal and informal networking events.
Diversity, Equity & Inclusion: Maintaining and fostering a diverse, equitable, and inclusive work environment is essential to Cardinal Health. Diversity is what’s different and unique about each of us, and how our differences shape our workplace. We strive to ensure that every employee feels welcomed, supported, and valued as a vital part of our organization. Interns have access to our 7 Employee Resource Groups (ERGs) where employees can find a place to share interests, passions, and ideas that help us engage more effectively with our global customers and workforce.
Development: Interns participate in a formal one-on-one mentoring program. Interns will connect with employees across the business and participate in professional workshops to enhance their business acumen. They are also able to explore full-time career paths throughout their internship experience.
Camaraderie: The internship program offers social, teambuilding, and community service events to help interns build a solid network of peers.
As an AI/Machine Learning Intern, you could potentially support the organization in several of the following ways:
- Manage projects with schedule, budget, risk, issues and status
- Translating business requirements into technical specifications
- Collaborate with senior data scientists for designing and developing machine learning and deep learning solutions and building scalable solutions.
- Collaborate with Business Stakeholders: Work closely with key business stakeholders to understand their needs and translate them into actionable AI-driven solutions. Help bridge the gap between technical expertise and business requirements.
- Be involved in tasks like building prompt engineering strategies, integrating LLMs with relevant healthcare data, and evaluating the performance of GenAI models in various applications.
Accountabilities in this role:
- Analytical skills and attention to detail
- Ability to interact effectively at all levels and across diverse cultures
- Quality and results orientation with a proactive approach
- Ability to prioritize requests effectively and understand importance and meet deadlines
- Ability to work independently with moderate level of direction
- Must be willing to adapt to shifting requirements or priorities
Qualifications:
For consideration in the Cardinal Health summer 2025 internship program, you must meet a combination of the following requirements:
- Currently pursuing a bachelor’s degree in Computer Engineering, Computer Science, Software Development or a related field, preferred
- Expected graduation of winter 2025 or spring 2026, preferred
- Relevant coursework and/or projects, preferred
- Experience in the following Tech Stack, preferred:
- Python, R, Scikit-learn, Jupyter Notebook, Git and GitHub
- Not required but additional desirable skills:
- Cloud computing basics (AWS, Azure or GCP)
- Data Visualization (Matplotlib or Seaborn)
- Ethical AI (AI development experience)
- Knowledge of machine learning basics and data fundamentals, preferred
- Strong leadership, communication, problem-solving and analytical skills with the ability to work with both technical and non-technical stakeholders
- Participation in extracurricular activities, community organizations and/or professional associations
- Must have unlimited work authorization in the United States without the need for employer sponsorship, now or at any time in the future
Please note, applicants may redact any age-related information.
To learn more about Cardinal Health and the Internship Program visit cardinalhealth.com/college.
Anticipated hourly rate: $24.00 per hour
Bonus eligible: No
Application window anticipated to close: 02/28/2025 *if interested in opportunity, please submit application as soon as possible.
The hourly rate listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate’s geographical location, relevant education, experience and skills and an evaluation of internal pay equity.
Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply.
Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law.
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Tags: AWS Azure Computer Science Data visualization Deep Learning Engineering GCP Generative AI Git GitHub Jupyter LLMs Machine Learning Matplotlib Privacy Prompt engineering Python R Scikit-learn Seaborn
Perks/benefits: Career development Equity / stock options Relocation support Salary bonus
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