Data Scientist Intern

Stack

Responsibilities

• ▹Assist in developing, testing and improving machine learning and AI models
• ▹Support data collection, preparation, transformation and analysis
• ▹Participate in experiments and evaluations to find ways to improve models
• ▹Collaborate with product, engineering and analytics teams on AI-enabled solutions
• ▹Create reports, dashboards and visualizations that communicate findings
• ▹Contribute to documentation, presentations and knowledge sharing within the team
• ▹Learn and apply best practices in machine learning, software development and data science
• ▹Stay current on emerging AI, machine learning and generative AI technologies

Requirements

• ▹Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering or a related field, or equivalent practical experience
• ▹Foundational knowledge of statistics, machine learning and data analysis
• ▹Experience with Python, SQL, R or similar languages through coursework, internships, research or personal projects
• ▹Familiarity with machine learning frameworks such as Scikit-learn, PyTorch or TensorFlow
• ▹Interest in generative AI, large language models (LLMs) and retrieval-augmented generation (RAG)
• ▹Ability to work with structured and unstructured data
• ▹Strong problem-solving and analytical thinking skills
• ▹Excellent written and verbal communication skills
• ▹Ability to work independently and within a collaborative team

Nice to have

• ▹0–2 years of experience in data science, machine learning, analytics, software engineering or a related field
• ▹Relevant internships, research, graduate or capstone projects, or personal projects

Soft skills

What we offer

• ▹Pay: $25.00 per hour
• ▹Bonus incentives
• ▹Paid certifications
• ▹Tuition reimbursement
• ▹Comprehensive benefits package including healthcare, time off, retirement and well-being programs
• ▹Career advancement
• ▹Quarterly and annual incentive programs

About the company

Ensemble Health Partners provides technology-enabled revenue cycle management solutions for hospitals and health systems. It invests over $70 million a year in technology research and development and runs more than 5,500 deployed AI models.