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Availity, LLC

Data Science Intern (Remote)

Posted Yesterday
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Remote
Hiring Remotely in United States
Internship
Remote
Hiring Remotely in United States
Internship
Work with large, diverse healthcare datasets to support development, validation, and deployment of AI-driven product features. Clean, integrate, and analyze data; perform feature engineering; build and test machine learning and statistical models; collaborate with Data Engineering, Product, and Business teams; and present insights using data visualization tools.
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Availity delivers revenue cycle and related business solutions for health care professionals who want to build healthy, thriving organizations. Availity has the powerful tools, actionable insights and expansive network reach that medical businesses need to get an edge in an industry constantly redefined by change.

Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for client services and product enhancement. Interacts with product and service teams to identify questions and issues for data analysis and experiments. Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers.

As a Data Science Intern, you’ll work with one of the nation’s largest and most diverse healthcare datasets to help develop AI-driven products. You will join one of Availity’s embedded Data Science team, assisting in the validation, development, and deployment of a product feature.

Key Responsibilities

  • Contribute as part of the Data Science team during exploration, scoping, and requirements discussions.

  • Directly engage with Availity’s underlying data; including taking part in the initial data exploration, the data cleaning, and any data transformation and feature engineering processes.

  • Collaborate with cross-functional teams (Data Engineering, Product, and Business Analytics) to understand project goals and deliver data solutions.

  •  Support the development and testing of machine learning and statistical models.

  • Participate in the full development process to integrate these AI capabilities into our product as fully functioning features.

  • Use data visualization tools to communicate insights to business and technical stakeholders.

Required Qualifications

  • Currently pursuing a Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.

  • Strong foundation in Python and libraries such as pandas, NumPy, scikit-learn, or TensorFlow/PyTorch.

  • Familiarity with SQL and data querying techniques.

  • Understanding of statistical analysis, data wrangling, and machine learning fundamentals.

  • Excellent problem-solving and communication skills.

Preferred Qualifications

  • Exposure to cloud platforms such as AWS, GCP, or Azure.

  • Interest in healthcare data and related regulatory concepts (HIPAA, PHI, etc.).

  • Previous internship or project experience in data analytics or machine learning.

What You’ll Gain

  • Real-world experience applying data science to healthcare challenges.

  • Mentorship from senior data scientists and engineers.

  • Opportunities to present your findings to Availity leadership.

  • A collaborative, mission-driven culture focused on innovation and impact.

Video Camera Usage:

Availity fosters a collaborative and open culture where communication and engagement are central to our success.  As a remote first company, we are also camera-first and provide all associates with camera/video capability to simulate the office environment. If you are not able to use your camera for all virtual meetings, you should not apply for this role.

Having cameras on helps create a more connected, interactive, and productive environment, allowing teams to communicate more effectively and build stronger working relationships.  The usage of cameras also enhances security and protects sensitive company information. Video participation is required to ensure that only authorized personnel are present in meetings and to prevent unauthorized access, data breaches, preventing social engineering, or the sharing of confidential information with non-participants.

Disclaimers:

Availity is an equal opportunity employer and makes decisions in employment matters without regard to race, religious creed, color, age, sex, sexual orientation, gender identity, gender expression, genetic information, national origin, religion, marital status, medical condition, disability, military service, pregnancy, childbirth and related medical conditions, or any other classification protected by federal, state, and local laws and ordinances.

 

Availity is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.

 

NOTICE: Federal law requires all employers to verify the identity and employment eligibility of all persons hired to work in the United States. When required by state law or federal regulation, Availity uses I-9, Employment Eligibility Verification in conjunction with E-Verify to determine employment eligibility. Learn more about E-Verify at http://www.dhs.gov/e-verify.

Click the links below to view Federal Employment Notices.

Family & Medical Leave Act  Equal Employment Law Poster  Pay Transparency  Employee Polygraph Protection Act  IER Right to Work Poster  Important Notice about Employee Rights to Organize and Bargain Collectively with Their Employers

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