Healthcare Data Science Intern

Are you a current student seeking a valuable internship opportunity in the realm of Data Science?
 

If so, this role is tailor-made for you.
 

About the Business
 

LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Healthcare vertical, our solutions focus on transforming operations and improving health outcomes across the healthcare industry. While our solutions are centered around robust data assets, we also leverage sophisticated technology, applied analytics and deep healthcare expertise – while ensuring the highest standards of privacy and security – to help healthcare organizations make confident decisions and solve complex challenges. You can learn more about LexisNexis Risk at the link below. https://risk.lexisnexis.com/healthcare
 

About our Team
 

LexisNexis Risk Solutions provides advanced technology and analytics for decision-making using public and industry content. The company helps its customers evaluate and predict risk and enhance operational efficiency. They use data and advanced analytics to assist their customers in making better decisions.
 

About the Role
 

The LexisNexis Risk Solutions internship is perfect. As a data science intern with the LexisNexis Healthcare group, you’ll gain real-world industry experience. You will have the opportunity to network with peers and leadership. It offers the chance to improve analytical abilities, acquire industry knowledge, and effectively collaborate with diverse colleagues and professionals.

The program runs from May 19, 2025, to July 25, 2025, and is open to junior students graduating in May 2026. This internship is based in Alpharetta, GA, with no relocation assistance provided.
 

Responsibilities

• Collaborating effectively within diverse development environments to ensure seamless cooperation with key stakeholders.

• Working under the guidance of senior data scientists or statistical modelers.

• Embracing data collection, manipulation, and model development.

• Addressing fundamental technical obstacles directly and exhibiting your proficiency in problem-solving.

• Improving Data Quality or SDOH depending on the internship’s business needs is the specific project.

• Developing analytical skills.

Requirements

• Be a currently enrolled student working on a bachelor’s in Data Science, Statistics, Mathematics, Computer Science, or a related field of study. Must be graduating in May 2026.

• Possess foundational knowledge of statistics and machine learning with a demonstrated interest in healthcare data analytics.

• Have expertise in Python, SQL, R, H2O, Excel, and statistical/machine learning models.

• Display familiarity with data query/manipulation languages and showcase a basic grasp of data modeling principles.

• Have a passion for technology and a desire to learn and progress quickly.

• Be a natural problem solver, collaborate with a team to resolve issues, and have excellent verbal and written communication skills.

Learn more about the LexisNexis Risk team and how we work here

#earlycareer
 

At LexisNexis Risk Solutions, having diverse employees with different perspectives is key to creating innovative new products for our global customers. We have 30 diversity employee networks globally and prioritize inclusive leadership and equitable processes as part of our culture. Our aim is for every employee to be the best version of themselves. We would actively welcome applications from candidates of diverse backgrounds and underrepresented groups. 

We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form: https://forms.office.com/r/eVgFxjLmAK , or please contact 1-855-833-5120.

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