Data Scientist Intern
Ensemble Health Partners · United States
- Hybrid
- Internship
- $52,000 / year
- United States
Job highlights
- Develop AI/ML solutions for healthcare.
- Work with data scientists and engineers.
- Analyze data and build predictive models.
- Gain experience with generative AI.
- Contribute to industry-leading innovation.
About the role
About Ensemble Health Partners
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.
Associate Data Scientist, AI Role Overview
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.
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).
- 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.
Desired Work Experience
- 0–2 years of experience in data science, machine learning, analytics, software engineering, or a related field.
- Relevant internships, research projects, graduate work, capstone projects, or personal projects are highly valued.
Compensation
$25.00 / hr
Career Opportunity Offering
- Bonus Incentives
- Paid Certifications
- Tuition Reimbursement
- Comprehensive Benefits
- Career Advancement
Join An Award-winning Company
- Five-time winner of “Best in KLAS” 2020-2022, 2024-2025
- Black Book Research's Top Revenue Cycle Management Outsourcing Solution 2021-2024
- 22 Healthcare Financial Management Association (HFMA) MAP Awards for High Performance in Revenue Cycle 2019-2024
- Leader in Everest Group's RCM Operations PEAK Matrix Assessment 2024
- Clarivate Healthcare Business Insights (HBI) Revenue Cycle Awards for strong performance 2020, 2022-2023
- Energage Top Workplaces USA 2022-2024
- Fortune Media Best Workplaces in Healthcare 2024
- Monster Top Workplace for Remote Work 2024
- Great Place to Work certified 2023-2024
Our Culture and Growth Opportunities
Bottom line, we believe in empowering people and giving them the tools and resources needed to thrive. A few of those include:
- Associate Benefits: We offer a comprehensive benefits package designed to support the physical, emotional, and financial health of you and your family, including healthcare, time off, retirement, and well-being programs.
- Our Culture: Ensemble is a place where associates can do their best work and be their best selves. We put people first, last and always. Our culture is rooted in collaboration, growth, and innovation.
- Growth: We invest in your professional development. Each associate will earn a professional certification relevant to their field and can obtain tuition reimbursement.
- Recognition: We offer quarterly and annual incentive programs for all employees who go beyond and keep raising the bar for themselves and the company.
Key skills/competency
- Data Science
- Machine Learning
- AI Engineering
- Python
- SQL
- Data Analysis
- Predictive Analytics
- Generative AI
- Healthcare
- Statistics
Skills & topics
- Data Scientist
- Intern
- AI
- Machine Learning
- Python
- SQL
- Healthcare
- Analytics
- Predictive Analytics
- Generative AI
How to get hired
- Tailor your resume: Highlight relevant coursework, internships, and projects in data science, ML, or AI.
- Showcase technical skills: Emphasize proficiency in Python, SQL, and ML frameworks like Scikit-learn.
- Demonstrate passion: Express your interest in AI, LLMs, and healthcare problem-solving in your application.
- Prepare for technical questions: Review foundational concepts in statistics, machine learning, and data analysis.
- Highlight collaborative abilities: Provide examples of teamwork and problem-solving in a group setting.
Technical preparation
Behavioral questions
Frequently asked questions
- What are the key responsibilities for an Associate Data Scientist at Ensemble Health Partners?
- As an Associate Data Scientist, AI, you will assist in developing and testing AI/ML models, supporting data preparation and analysis, collaborating with cross-functional teams, and creating reports/visualizations. You'll also contribute to documentation and stay updated on emerging AI technologies.
- What technical skills are most important for the Data Scientist Intern role at Ensemble Health Partners?
- Strong foundational knowledge in statistics, machine learning, and data analysis is crucial. Proficiency in Python, SQL, or R, along with familiarity with ML frameworks like Scikit-learn, PyTorch, or TensorFlow, is highly valued. An interest in generative AI and LLMs is also beneficial.
- What kind of projects can I expect to work on as a Data Scientist Intern at Ensemble Health Partners?
- You can expect to work on developing and supporting machine learning and AI solutions, including predictive analytics and generative AI applications. This involves data analysis, model development, experimentation, and assisting in the delivery of AI-enabled solutions within the healthcare sector.
- Does Ensemble Health Partners offer mentorship or professional development for interns?
- Yes, Ensemble Health Partners invests in professional development. While specific intern programs are not detailed, the company offers paid certifications, tuition reimbursement, and a culture of growth, suggesting opportunities for learning and career advancement.
- How does Ensemble Health Partners use AI and Machine Learning in the healthcare industry?
- Ensemble Health Partners leverages AI and ML to solve complex healthcare problems, eliminate administrative complexity, and reduce healthcare costs. They have deployed over 5,500 AI models and invest heavily in R&D to improve care delivery and patient experience.
- What is the typical duration or structure of the Data Scientist Intern position?
- While the exact duration isn't specified, internship roles typically provide hands-on experience and learning opportunities over a defined period, often during academic breaks or for a set number of months. It's an opportunity to gain practical experience in AI and ML within a real-world healthcare setting.