About Cencora:

Cencora is one of the largest drug wholesale and distribution companies in the world. Ranked among the top 10 on the Fortune 500, it serves as a critical link between pharmaceutical manufacturers, healthcare providers, pharmacies, health systems, and patients.

Why Join Us:

At Cencora, data scientists work on high-impact problems at the intersection of healthcare, supply chain, operations, finance, and strategy. As a Data Scientist Intern, you'll join a team that values curiosity, rigor, and real-world impact. You'll receive mentorship and guidance from experienced practitioners while building your skills across statistics, machine learning, data engineering, and business problem-solving — all in a domain where your work contributes to healthier outcomes for customers and patients.

What You Will Do

• Explore, clean, and prepare structured datasets from internal and external sources to support analysis and modeling efforts.
• Build, test, and validate statistical and machine learning models under the guidance of senior team members — applying established methods to well-defined business problems.
• Support data pipeline development and maintenance tasks — including data extraction, transformation, and loading.
• Assist with model deployment, testing, and monitoring activities in production environments.
• Create documentation that communicates findings, methodology, and recommendations to technical and business audiences.
• Collaborate with other data scientists, data engineers, analysts, and business stakeholders to contribute to team deliverables and project milestones.
• Follow team standards for code quality, version control, reproducibility, and responsible use of data — including privacy, fairness, and compliance with enterprise governance requirements.
• Participate in team knowledge-sharing sessions and pursue continuous learning to deepen your technical and domain expertise.

What You Bring

• Ability to explain your analyses and results clearly, especially within familiar contexts.
• A learning mindset — genuine curiosity about data science methods, business problems, and the healthcare and supply chain domains.
• Strong attention to detail, follow-through, and a collaborative working style.

What You Will Learn:

This role is designed to accelerate your growth as a data scientist. At Cencora, you'll gain hands-on experience that builds the foundation for a long, impactful career:

• Real-world problem framing — how to take a vague business question and turn it into a well-scoped analytical plan with clear success criteria.
• Production-grade coding practices — including version control workflows, code review norms, and writing clean, reproducible code that teams can build on.
• Healthcare and supply chain domain knowledge — developing the contextual understanding that separates a good analyst from a trusted advisor.
• Stakeholder communication — how to present technical findings to non-technical audiences in ways that are clear, credible, and actionable.
• Modern data science tooling and infrastructure — including cloud-based platforms, large-scale data environments, model deployment pipelines, and the team's analytics and engineering stack.

Required Qualifications

• Currently pursuing a bachelor’s degree in data science, Statistics, Mathematics, Computer Science, Engineering, Economics, or a related quantitative field.
• Foundational programming skills in Python and SQL.
• Understanding of core statistical concepts (e.g., hypothesis testing, regression, probability) and introductory machine learning techniques.
• Experience preparing and working with data, including cleaning, transformation, and quality assessment through coursework, internships, or projects.
• Familiarity with version control concepts (e.g., Git).

Preferred Qualifications

• Internship or project experience involving applied analytics, data science, or machine learning.
• Exposure to healthcare, pharmaceutical, supply chain, or logistics domains.
• Exposure to cloud-based data platforms or modern analytics ecosystems (e.g., Databricks, Azure).

What Success Looks Like

Success in this role means consistently delivering high-quality analyses and models that contribute to team goals. You'll earn trust by learning quickly, asking thoughtful questions, and being thorough and reliable. At Cencora, we measure data science not just by technical skill, but by the value it creates in service of healthier futures.

What Cencora offers

We provide compensation, benefits, and resources that enable a highly inclusive culture and support our team members’ ability to live with purpose every day. In addition to traditional offerings like medical, dental, and vision care, we also provide a comprehensive suite of benefits that focus on the physical, emotional, financial, and social aspects of wellness. This encompasses support for working families, which may include backup dependent care, adoption assistance, infertility coverage, family building support, behavioral health solutions, paid parental leave, and paid caregiver leave. To encourage your personal growth, we also offer a variety of training programs, professional development resources, and opportunities to participate in mentorship programs, employee resource groups, volunteer activities, and much more. For details, visit

Full time

Equal Employment Opportunity

Cencora is committed to providing equal employment opportunity without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, age, disability, veteran status or membership in any other class protected by federal, state or local law.

The company’s continued success depends on the full and effective utilization of qualified individuals. Therefore, harassment is prohibited and all matters related to recruiting, training, compensation, benefits, promotions and transfers comply with equal opportunity principles and are non-discriminatory.

Cencora is committed to providing reasonable accommodations to individuals with disabilities during the employment process which are consistent with legal requirements. If you wish to request an accommodation while seeking employment, please call 888.692.2272 or email [email protected]. We will make accommodation determinations on a request-by-request basis. Messages and emails regarding anything other than accommodations requests will not be returned

Affiliated Companies

Affiliated Companies: AmerisourceBergen Drug Corporation