Data Scientist Intern
Ensemble Health PartnersAbout the role
Thank you for considering a career at Ensemble!
Ensemble is a leading provider of technology-enabled revenue cycle management solutions for health systems, including hospitals and affiliated physician groups. They offer end-to-end revenue cycle solutions as well as a comprehensive suite of point solutions to clients across the country.
Ensemble keeps communities healthy by keeping hospitals healthy. We recognize that healthcare requires a human touch, and we believe that every touch should be meaningful. This is why our people are the most important part of who we are. By empowering them to challenge the status quo, we know they will be the difference!
O.N.E Purpose:
Customer Obsession: Consistently provide exceptional experiences for our clients, patients, and colleagues by understanding their needs and exceeding their expectations.
Embracing New Ideas: Continuously innovate by embracing emerging technology and fostering a culture of creativity and experimentation.
Striving for Excellence: Execute at a high level by demonstrating our “Best in KLAS” Ensemble Difference Principles and consistently delivering outstanding results.
The Opportunity:
We’re solving problems in healthcare with AI.
Are you passionate about leveraging AI to solve complex problems in healthcare? Do you want to be part of a team that is transforming the industry with cutting-edge technology? Join Ensemble Health Partners as an AI Engineer and make a meaningful impact on healthcare delivery and patient experience.
About Ensemble Health Partners
Ensemble Health Partners is at the forefront of healthcare innovation, investing over $70 million annually in technology research and development. With 11 technology patents and over 5,500 deployed AI models, we are dedicated to eliminating administrative complexity and reducing healthcare costs. Our team includes former employees from Google and Meta, and we operate with the entrepreneurial spirit of a start-up backed by the scale and resources of a $1 billion company.
Why Join Us?
Purposeful Work Your work will directly contribute to reducing healthcare costs, improving care delivery and elevating the patient experience.
Innovative Environment We operate with the entrepreneurial spirit of a start-up backed by the scale and resources of a $1 billion company.
Strong Client Base Our solutions are deployed across hundreds of hospitals and health systems, so ideas can quickly make an impact.
The Associate Data Scientist, AI will help develop and support machine learning and artificial intelligence solutions, including predictive analytics and generative AI applications. Working alongside data scientists, software engineers, and product teams, this role will assist with data analysis, model development, experimentation, and solution delivery.
This is an excellent opportunity for someone looking to grow their career in AI and machine learning while working on impactful healthcare challenges. The successful candidate should be eager to learn new technologies, comfortable working with data, and excited to contribute to a collaborative team environment.
Essential Job Functions
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.
Other Preferred Knowledge, Skills and Abilities
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).
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