Healthcare AI Data Scientist Intern

Ensemble Health Partners; Kentucky; Hybrid; USD 28,000 - 40,000; Full time

Benefits offered by this job

Comprehensive benefits

Tuition reimbursement

Career advancement opportunities

Professional development

Job summary

Ensemble Health Partners is seeking an AI Engineer to help develop and support machine learning and AI solutions that improve healthcare delivery and patient outcomes. You will work with data scientists, software engineers, and product teams to build predictive analytics and AI applications in a dynamic, growth-focused environment.

The role emphasizes collaboration, data-driven decision making, and staying current with emerging AI technologies.

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.
• Foundational knowledge of statistics, machine learning, and data analysis.
• Experience with Python, SQL, R, or similar programming languages.
• Familiarity with Scikit-Learn, PyTorch, or TensorFlow.

Responsibilities

• Assist in developing, testing, and improving machine learning and AI models.
• Support data collection, preparation, transformation, and analysis activities.
• Participate in experiments and evaluations to identify opportunities for model improvement.
• Collaborate with product, engineering, and analytics teams on AI-enabled solutions.
• Create reports, dashboards, and visualizations that communicate findings and insights.

Skills

Python

SQL

R

Statistics

Communication

Education

Bachelor's or Master's degree in CS/DS/Statistics/Math/Engineering

Tools

Scikit-Learn

PyTorch

TensorFlow

Job description

Ensemble Health Partners is seeking an AI Engineer to help develop and support machine learning and AI solutions that improve healthcare delivery and patient outcomes. You will work with data scientists, software engineers, and product teams to build predictive analytics and AI applications in a dynamic, growth-focused environment.

The role emphasizes collaboration, data-driven decision making, and staying current with emerging AI technologies.