Data Scientist Intern — Real-World Healthcare Analytics

World Courier; Conshohocken, Northern (Montgomery County, KY); Hybrid; USD 42,000 - 52,000; Full time

Benefits offered by this job

Mentorship programs

Professional development resources

Healthcare coverage

Paid time off

Job summary

Cencora in Conshohocken, PA is seeking a Data Scientist Intern to work on real-world healthcare and supply chain analytics. You will collaborate with a multidisciplinary team, tackle structured datasets, and contribute to modeling and data pipeline tasks under senior guidance.

Ideal candidates are pursuing a bachelor's in a quantitative field, have Python/SQL, basic statistics and ML knowledge, and a willingness to learn.

Qualifications

• Pursuing a bachelor's degree in data science or related field.
• Foundational Python and SQL programming skills.
• Understanding statistics and introductory machine learning concepts.
• Experience with version control (Git).

Responsibilities

• Explore, clean, and prepare datasets for analysis and modeling.
• Build and test statistical and machine learning models with guidance.
• Support data pipeline development, including ETL tasks.
• Assist with model deployment, testing, monitoring in production.
• Create documentation communicating findings to technical and business audiences.
• Collaborate with data scientists, data engineers, analysts, and stakeholders.
• Follow team standards for code quality, version control, reproducibility, and governance.
• Participate in knowledge-sharing sessions and pursue continuous learning.

Skills

Python

SQL

Statistics

Machine learning

Data cleaning

Git

Education

Bachelor’s degree in a quantitative field

Tools

Databricks

Azure

Job description

Cencora in Conshohocken, PA is seeking a Data Scientist Intern to work on real-world healthcare and supply chain analytics. You will collaborate with a multidisciplinary team, tackle structured datasets, and contribute to modeling and data pipeline tasks under senior guidance.

Ideal candidates are pursuing a bachelor's in a quantitative field, have Python/SQL, basic statistics and ML knowledge, and a willingness to learn.