Intern - Data Scientist
Job Locations
US-Remote
ID
2026-18261
Category
Engineering/IT
Position Type
Full-Time
Overview
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.
Responsibilities
Technical Expertise
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
Communication and Collaboration
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
Leadership and Management
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
External Relationships and Partnerships
Supports vendor evaluations and contributes to collaborations with vendors.
Assists as a liaison between academic institutions, professional organizations, and research groups as needed.
Other
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.
This job description is intended to describe the general nature and level of work being performed in this internship. It is not an exhaustive list of responsibilities, duties, and skills required and does not constitute an employment agreement. This job description is subject to change as Cotiviti's needs and requirements of the internship evolve
Qualifications
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.
Knowledge of healthcare data standards (such as HL7
, FHIR, or ICD-10) is a plus but not required
Ability to work collaboratively and communicate effectively with cross-functional teams.
Working Conditions and Physical Requirements
Remaining in a stationary position, often standing or sitting for prolonged periods.
Communicating with others to exchange... For full info follow application link.Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
