Data Scientist Intern

Ensemble Health Partners; Ohio; On-site; USD 28,000 - 40,000; Full time

Benefits offered by this job

Bonus Incentives

Paid Certifications

Tuition Reimbursement

Comprehensive Benefits

Career Advancement

Job summary

Ensemble Health Partners is seeking an Associate Data Scientist, AI to join our team and contribute to AI-enabled healthcare solutions. You will work with data scientists, software engineers, and product teams to develop predictive analytics and generative AI applications.

The role involves data analysis, model development, experimentation, and delivering practical AI solutions that reduce administrative costs and improve patient care.

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or 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 projects.
• Familiarity with ML frameworks such as Scikit-learn, PyTorch, or TensorFlow.
• Interest in generative AI, 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 in a team environment.

Responsibilities

• Develop, test, and improve machine learning and AI models.
• Assist with data collection, preparation, transformation, and analysis.
• Participate in experiments to identify model improvements.
• Collaborate with product, engineering, and analytics teams on AI solutions.
• Create reports, dashboards, and visualizations to communicate insights.
• Contribute to documentation and knowledge sharing.
• Stay current with emerging AI technologies.

Skills

Problem solving

Analytical thinking

Communication skills

Independent work

Education

Bachelor's or Master's in CS/Data Science/Statistics

Tools

Python

SQL

R

Scikit-learn

PyTorch

TensorFlow

Job description

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).
• 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
• Innovation
• Work-Life Flexibility
• Leadership
• Purpose + Values

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.

Ensemble is an equal employment opportunity employer. It is our policy not to discriminate against any applicant or employee based on race, color, sex, sexual orientation, gender, gender identity, religion, national origin, age, disability, military or veteran status, genetic information or any other basis protected by applicable federal, state, or local laws. Ensemble also prohibits harassment of applicants or employees based on any of these protected categories.

Due to business, operational, payroll, and regulatory requirements, this position is limited to individuals who reside and are authorized to work within the United States. Applications generated from outside the United States will not be considered. Individuals may reapply when located within the United States.

Ensemble provides reasonable accommodations to qualified individuals with disabilities in accordance with the Americans with Disabilities Act and applicable state and local law. If you require accommodation in the application process, please contact [e-mail].

This posting addresses state specific requirements to provide pay transparency. Compensation decisions consider many job-related factors, including but not limited to geographic location; knowledge; skills; relevant experience; education; licensure; internal equity; time in position. A candidate entry rate of pay does not typically fall at the minimum or maximum of the role’s range.