Pay
$166K–$240K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 1,279 postings in the last year. Stated ranges, not salaries paid.
Data Scientist Intern
Reads like a ML Engineer role: putting models into production.
Remote - Nationwide
Live, first seen by us 83 days ago- Pay
$25/hour — pay source
Compensation $25.00 / hr CAREER OPPORTUNITY OFFERING:
Read the full posting- Work setting
Remote — work setting source
Listed location: Remote - Nationwide
Read the full posting- Employment
- Not stated
Before you apply
- New graduates
- For current students
Job title: Data Scientist Intern
- Work authorization
- Must already have the right to work in the US
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
What you’ll work on
Full postingAssist in developing, testing, and improving machine learning and AI models
Support data collection, preparation, transformation, and analysis
Participate in experiments and evaluations to find model improvements
Create reports, dashboards, and visualizations of findings
Collaborate with product, engineering, and analytics teams on AI solutions
From the employer’s posting
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.
Create reports, dashboards, and visualizations that communicate findings and insights.
Collaborate with product, engineering, and analytics teams on AI-enabled solutions.
What you’ll bring
All qualificationsCore experience
- Coursework, internships, or projects in Python, SQL, R, or similar
- Bachelor's or Master's in a quantitative field, or equivalent practical experience
- Foundational knowledge of statistics, machine learning, and data analysis
- 0–2 years of experience in data science, ML, analytics, or related field
Qualification wording
Experience with Python, SQL, R, or similar programming languages through coursework, internships, research, or personal projects.
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.
0–2 years of experience in data science, machine learning, analytics, software engineering, or a related field.
Education & alternatives
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.
About Ensemblehp
Ensemble Health Partners is at the forefront of healthcare innovation, investing over $70 million annually in technology research and development.
In the employer’s words · Read in context
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Aug 13, 202683 days ago
- Recorded sightings
- 200
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 83
Up longer than most. Similar jobs usually come down between day 6 and day 69.
From 4,296 similar postings that came down. Coming down is not always a hire.
Ensemblehp is hiring
6 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring at a steady pace
- Takes jobs down at a usual pace
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- R
- SQL
- PyTorch
- scikit-learn
- TensorFlow
Where the posting names them
- 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.
- 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).
Your next step
Complete your application on ensemblehp.wd5.myworkdayjobs.com. The employer’s form will show what is required.
Applying through Workday
- You create an account with each employer before you can upload anything. Every Workday employer has its own account, so one sign-up doesn’t carry over.
- “Autofill with Resume” comes right after sign-in, before the My Information and My Experience steps. Check every field it fills in those steps, since that’s what recruiters see.
- Your application status lives in that employer’s Candidate Home, under the same sign-in.
Already applied? Track this application
About the role
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
US government figures for computer and information research scientists
- Median yearly pay, May 2025
- $140,300
- Expected change, 2025 to 2035
- 21.8% more jobsagainst 3.5% for all jobs
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
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
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.
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 TA@ensemblehp.com.
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.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Compensation $25.00 / hr CAREER OPPORTUNITY OFFERING:
- Location & working pattern
Remote - Nationwide
- Fortune Media Best Workplaces in Healthcare 2024 - Monster Top Workplace for Remote Work 2024 - Great Place to Work certified 2023-2024
More source context
Fortune Media Best Workplaces in Healthcare 2024 Monster Top Workplace for Remote Work 2024 Great Place to Work certified 2023-2024
- Work authorization
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 TA@ensemblehp.com.