Intern - Data Scientist

Cotiviti

1d•$21 - $26

About The Position

As a Data Scientist Intern, you will contribute to the development and application of advanced analytics and machine learning methods to solve healthcare informatics challenges, with a particular emphasis on Generative AI and Artificial General Intelligence. You will collaborate with cross-disciplinary teams to build, evaluate, and deploy data-driven solutions that enhance healthcare treatment, operations, and payment systems. This internship offers hands-on experience in statistical modeling, data engineering, and AI model development in a mission-driven environment.

Requirements

Currently pursuing a Bachelor's/Master's/PhD degree in Data Science, Statistics, Computer Science, Biostatistics, or a related quantitative field
Demonstrated interest or experience in AI, healthcare technology, or informatics research.
Experience working with platforms like Databricks, AWS, Azure, or OCI.
Strong programming skills (Python preferred)
Strong skills working with databases and models (ETL, hosting, etc.)
Strong grasp of statistical analysis, machine learning, and data visualization - either through experience or coursework/projects.
Genuine interest in applying data science to healthcare challenges.
Ability to work collaboratively and communicate effectively with cross-functional teams.

Nice To Haves

Knowledge of healthcare data standards (such as HL7, FHIR, or ICD-10) is a plus but not required

Responsibilities

Analyze large and complex healthcare datasets to extract actionable insights
Develop, evaluate, and improve machine learning (ML) and deep learning (DL) models, especially LLMs and generative architectures
Design, build, and optimize data pipelines using cloud services (Databricks/AWS/Azure) for scalable ML solutions
Contribute to the development and maintenance of AI governance frameworks and best practices
Implement and manage database architectures, including vector databases and data embeddings
Work closely with researchers, product managers, and strategic analysts on data and AI related projects
Communicate technical concepts and findings effectively through presentations and written materials to both technical and non-technical stakeholders
Take a proactive role in defining analytical project objectives and contributing to solution delivery
Assist in coordinating data science and technical project activities, supporting team goals and daily operations
Collaborate with academic and industry partners on joint research, pilot projects, and internships
Supports vendor evaluations and contributes to collaborations with vendors.
Assists as a liaison between academic institutions, professional organizations, and research groups as needed.
Complete all responsibilities and goals outlined in the internship program.
Complete all special projects and other duties as assigned.
Must be able to perform duties with or without reasonable accommodation.