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Internship Healthcare Data Science Jobs (NOW HIRING)

The Opportunity As part of the Operations Consulting team, you will apply advanced data science and ... care and improve population health outcomes for our payer clients. As a Manager, you will lead ...

The Opportunity As part of the Operations Consulting team, you will apply advanced data science and ... care and improve population health outcomes for our payer clients. As a Manager, you will lead ...

The Opportunity As part of the Operations Consulting team, you will apply advanced data science and ... care and improve population health outcomes for our payer clients. As a Manager, you will lead ...

Data Scientist IV

Gainesville, FL · On-site

$98K - $110K/yr

Strong communication skills and a proven track record in data science are essential. Research Development: Leverage expertise in healthcare administrative and clinical data to support the design and ...

Data Scientist

Manhattan, NY · On-site

$190 - $220/hr

In this role, you will be responsible for advancing our applied ML and data science capabilities for healthcare. Responsibilities * Develop, validate, and measure the impact of large language model ...

Experience: 10+ years of experience in data science, machine learning, healthcare analytics, clinical AI, or applied AI solution delivery, ideally within consulting or enterprise client environments ...

Data Scientist

Scottsdale, AZ · On-site

$80K - $120K/yr

In this role, you will work with diverse and complex healthcare datasets--EHR, scheduling, billing ... Master's degree in Data Science, CS, Statistics, Biomedical Informatics, or related field preferred ...

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Internship Healthcare Data Science information

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How much do internship healthcare data science jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for internship healthcare data science in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

What is an internship in healthcare data science?

An internship in healthcare data science is a temporary position, often for students or recent graduates, that provides hands-on experience in analyzing and interpreting healthcare data. Interns typically work with professionals on projects involving data cleaning, statistical analysis, machine learning, and data visualization to support healthcare decision-making and improve patient outcomes. These internships help participants develop technical skills, gain industry knowledge, and build professional networks in the rapidly growing field of healthcare data science.

What are the key skills and qualifications needed to thrive as an internship in healthcare data science?

To thrive as an intern in healthcare data science, you need a solid grasp of statistics, data analysis, and programming languages such as Python or R, typically supported by coursework or a degree in data science, computer science, or a related field. Familiarity with data visualization tools (e.g., Tableau), healthcare databases (e.g., EHR systems), and knowledge of HIPAA regulations are often expected. Strong problem-solving skills, attention to detail, and effective communication make candidates stand out in this role. These capabilities are essential for transforming complex healthcare data into actionable insights that improve patient outcomes and support data-driven decision-making.

What types of projects do interns in healthcare data science typically work on, and how do these projects contribute to real-world healthcare improvements?

Interns in Healthcare Data Science often work on projects such as analyzing patient data to identify trends, developing predictive models for disease progression, or optimizing hospital resource allocation. These projects are usually part of larger, cross-functional teams including clinicians, IT specialists, and senior data scientists. The outcomes of your work can directly impact patient care processes, inform decision-making, and improve operational efficiency in healthcare settings. Expect regular mentorship and feedback, as well as opportunities to present your findings to technical and non-technical stakeholders.

What is the difference between Internship Healthcare Data Science vs Healthcare Data Analyst?

AspectInternship Healthcare Data ScienceHealthcare Data Analyst
Required CredentialsTypically pursuing or recent graduate in data science, statistics, or related fieldOften requires degree in health informatics, statistics, or related field
Work EnvironmentInternship setting, often in hospitals, healthcare tech companies, or research institutionsFull-time or part-time roles in healthcare organizations, clinics, or health IT firms
Employer & Industry UsageUsed by healthcare providers, research institutions, and tech companies for training and entry-level rolesCommon in hospitals, insurance companies, and healthcare consulting firms for data analysis tasks

Internship Healthcare Data Science positions are entry-level, focused on training and gaining experience in data science techniques applied to healthcare. Healthcare Data Analysts are more established roles, responsible for analyzing healthcare data to support decision-making. Both roles require similar educational backgrounds but differ in experience level and job responsibilities.

Can data science be used in healthcare?

Healthcare Data Science is a field that applies data analysis, machine learning, and statistical methods to improve patient outcomes, optimize operations, and support clinical decision-making. Data scientists in healthcare often work with electronic health records, medical imaging, and health-related datasets using tools like Python, R, and SQL. This role requires understanding healthcare regulations and data privacy standards such as HIPAA.

How do I become a healthcare data scientist?

To become a healthcare data scientist, you typically need a strong background in data science, statistics, or computer science, often with a relevant bachelor's or master's degree. Skills in programming languages like Python or R, knowledge of healthcare data systems, and experience with machine learning are essential. Gaining certifications in data analysis or healthcare informatics can also enhance your qualifications.

How to get an internship in healthcare data science?

To secure a healthcare data science internship, candidates should have a strong foundation in data analysis, programming (such as Python or R), and knowledge of healthcare systems. Relevant coursework, certifications in data science or healthcare analytics, and experience with tools like SQL and machine learning can improve chances. Applying through university career services, networking with industry professionals, and demonstrating project work are also effective strategies.
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What cities are hiring for Internship Healthcare Data Science jobs?

Cities with the most Internship Healthcare Data Science job openings:

What are the most commonly searched types of Healthcare Data Science jobs?

The most popular types of Healthcare Data Science jobs are:

What states have the most Internship Healthcare Data Science jobs?

States with the most job openings for Internship Healthcare Data Science jobs include:

Infographic showing various Internship Healthcare Data Science job openings in the United States as of August 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution, with an average salary of $46,809 per year, or $22.5 per hour.

Payer Healthcare Data Scientist, Manager

Pwc

Salt Lake City, UT • On-site

$99K - $232K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 19 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

26th of 72 rated business consultants


Job description

Industry/Sector

Health Services

Specialism

Operations

Management Level

Manager

Job Description & Summary

At PwC, our people in operations consulting specialise in providing consulting services on optimising operational efficiency and effectiveness. These individuals analyse client needs, develop operational strategies, and offer guidance and support to help clients streamline processes, improve productivity, and drive business performance.
As an operations consulting generalist at PwC, you will possess a broad understanding of various aspects of operations consulting. You will provide comprehensive guidance and support to clients in optimising operational efficiency and effectiveness. Working in this area, you will analyse client needs, develop operational solutions, and offer recommendations tailored to specific business requirements.
Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member's unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
Analyse and identify the linkages and interactions between the component parts of an entire system.
Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion.
Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables.
Develop skills outside your comfort zone, and encourage others to do the same.
Effectively mentor others.
Use the review of work as an opportunity to deepen the expertise of team members.
Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate.
Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.
The Opportunity
As part of the Operations Consulting team, you will apply advanced data science and machine learning techniques to large-scale claims, clinical, and member data to surface actionable insights that reduce cost of care and improve population health outcomes for our payer clients. As a Manager, you will lead teams and manage client accounts, focusing on strategic planning and mentoring junior staff while securing project success and maintaining exemplary standards. This role offers the chance to work on innovative analytics products and collaborate with industry leaders, making a significant impact in healthcare.
Responsibilities
- Apply advanced data science and machine learning methodologies to analyze vast claims and clinical data
- Generate actionable insights aimed at reducing healthcare costs and enhancing population health
- Lead and mentor teams while managing client relationships and expectations
- Secure successful project execution while upholding quality standards
- Collaborate with industry leaders to develop innovative analytics solutions
- Present findings and strategies to senior stakeholders, including Chief Actuaries
- Play a key role in the development of new analytics products for payer strategies
- Foster a culture of continuous improvement and knowledge sharing within the team
What You Must Have
- Bachelor's Degree
- At least 6 years of experience in data science and machine learning
What Sets You Apart
- Master's Degree in Statistics, Computer Science, Applied Mathematics, Biotechnology preferred
- Prior consulting or advisory firm experience preferred
- Contributing to commercial analytics product development
- Familiarity with NCQA HEDIS specifications and CMS Star Ratings
- Knowledge of government payer programs and Medicaid
- Experience with NLP or unstructured clinical text
- Exposure to social determinants of health data integration

Travel Requirements

Up to 80%

Job Posting End Date

The salary range for this position is: $99,000 - $232,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

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