Data Scientist Intern

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 youll join a team that values curiosity rigor and real-world impact. Youll 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 youll 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 teams analytics and engineering stack.

Required Qualifications

• Currently pursuing a bachelors 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. Youll 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.

We provide compensation benefits and resources that enable a highly inclusive culture and support our team members ability to live with purpose every 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 time

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 companys 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 . We will make accommodation determinations on a request-by-request basis. Messages and emails regarding anything other than accommodations requests will not be returned