Data Science Intern

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.

We are seeking a motivated and analytical Data Science Intern to join our team for the Fall 2026 internship program. This internship provides an opportunity to work on a strategic initiative focused on understanding how healthcare providers and staff interact with Availity's products and services.

The selected intern will work alongside another Data Science Intern in a collaborative, pair-programming environment to help build a more comprehensive understanding of user behavior across Availity platforms. Together, the interns will analyze user activity from multiple systems and contribute to the development of a unified user profile framework that helps answer a critical business question:

How are users interacting with Availity, and how can we better serve them?

This role offers exposure to healthcare technology, analytics engineering, user behavior analysis, machine learning, and conversational AI while working on projects with direct business impact.

Internship Project

One of Availity's strategic goals is to develop a more robust understanding of our users by integrating data from multiple sources into a consolidated view of user activity and engagement.

Interns will work together to help establish the foundation for a comprehensive user fact table that combines data from platforms such as:

• Ask Avary conversational AI
• Salesforce
• Portal activity data
• Product usage metrics
• Dimensional reference tables
• Additional internal data sources

The objective is to create meaningful user profiles that help identify how different types of users engage with Availity products and services.

Ask Avary Focus Area

The Ask Avary intern will:

• Analyze chatbot conversation and usage data.
• Identify common user questions, workflows, and usage patterns.
• Develop user segments based on conversational behavior.
• Evaluate how different user groups leverage AI-powered assistance.
• Generate insights that can improve documentation, user experience, and product strategy.
• Build analytical datasets that connect user activity across products.
• Explore similarities and differences among user populations.
• Develop user personas and behavioral segments.
• Present recommendations that advance Availity's understanding of user engagement across the platform.
• Deliver a foundational framework that future teams can build upon to better understand customer behavior.

To Be Qualified for the Role

• Currently pursuing a Bachelor's in Data Science, Statistics, Computer Science, Mathematics, Machine Learning, Analytics, or a related quantitative field.
• Strong analytical and problem-solving skills.
• Experience with Python and common analytics libraries such as Pandas, NumPy, Matplotlib, or Scikit-learn.
• Familiarity with SQL and working with structured datasets.
• Understanding of statistics and data analysis fundamentals.
• Ability to communicate technical concepts and findings clearly.
• Demonstrated curiosity, initiative, and willingness to learn.
• Strong critical-thinking skills and the ability to solve ambiguous business problems.

What You Will Be Doing

• Analyze large-scale user interaction datasets.
• Build and maintain analytical workflows using Python and SQL.
• Work with multiple internal data sources to develop unified user profiles.
• Create reports, dashboards, and visualizations for business stakeholders.
• Partner with Data Science, Product, Engineering, and Business teams.
• Apply statistical techniques to uncover trends and actionable insights.
• Participate in code reviews, sprint planning, and collaborative problem-solving sessions.
• Present findings to leadership and stakeholders throughout the internship.
• Contribute code, documentation, and reusable analytical assets that support future work.

What Will Set You Apart

• Experience with analytics, machine learning, or data engineering projects.
• Familiarity with AWS, Databricks, Athena, Redshift, or cloud analytics platforms.
• Experience with customer analytics, behavioral analysis, or user segmentation.
• Exposure to conversational AI, natural language processing, or generative AI technologies.
• Knowledge of experimentation methodologies, A/B testing, or statistical inference.
• Interest in healthcare technology and digital transformation.

Success in This Role

Successful candidates will demonstrate:

• Intellectual curiosity and a passion for understanding user behavior.
• Strong analytical reasoning and critical-thinking skills.
• Comfort working with incomplete information and ambiguous problems.
• Effective collaboration and pair-programming skills.
• The ability to transform complex datasets into actionable business insights.
• A desire to make measurable contributions to products used throughout the healthcare ecosystem.

By the end of the internship, participants will have contributed to a foundational understanding of user behavior across Availity products and helped establish a framework for future customer analytics initiatives.

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.

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