Data Scientist Intern

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Ensemble Health Partners

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

⚕️ Healthcare Insurance

☁️ SaaS

🏢 Enterprise

💰 Private Equity Round on 2022-03

Healthcare Insurance • SaaS • Enterprise

Ensemble Health Partners is a leading provider of revenue cycle management (RCM) services for healthcare organizations. They offer an end-to-end RCM solution that helps hospitals, health systems, and affiliated physician groups optimize their revenue cycles, reduce denials and underpayments, and enhance patient experiences using a combination of expert management and advanced technology. Ensemble Health Partners leverages certified operators and AI to deliver consistent results, improve collections, and support future growth for healthcare providers. They are recognized for their robust client partnerships and commitment to delivering reliable revenue lift and cost savings for their clients.

📋 Description

• 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. • 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 programming 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 effectively both independently and within a collaborative team environment.

🏖️ Benefits

• Bonus Incentives • Paid Certifications • Tuition Reimbursement • Comprehensive Benefits • Career Advancement