Questanalytics14h ago

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Quest Analytics Internship Program - Summer 2027 in Kansas City

United States·Overland ParkInternentry

OtherInternship Program

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Quick Summary

Key Responsibilities

•An entrepreneurial culture that won’t limit you to a job description •Being listened to, valued,

Technical Tools

OtherInternship Program

Your Quest: Build the tools that improve healthcare access

At Quest Analytics, headquartered in Overland Park, KS, our mission is to make healthcare more accessible for all Americans. We are a healthcare technology company focused on improving provider network management and helping healthcare organizations ensure their members have access to the care they need. Our technology, data, and expertise help health plans and healthcare organizations solve complex challenges involving provider data, network accuracy, adequacy, accessibility, and regulatory compliance.

Our Summer Internship Program gives students the opportunity to work alongside experienced professionals on meaningful projects that contribute to real products, data solutions, and business outcomes. Interns aren't here just to observe, you'll have the opportunity to build, analyze, problem-solve, collaborate, and make an impact.

We have an exciting opportunity for highly talented and motivated individuals to join us as part of our 2027 Internship Program. If you live in the Kansas City area and are ready to gain real-world experience, we’d love to meet you.

Apply with us and let’s connect!

We're looking for talented and curious students to join our Summer 2027 Technology Internship Program across three areas:

Software Engineering – Contribute to the full software development lifecycle by helping plan, design, develop, test, and deploy features and applications that support our healthcare technology solutions. Work alongside experienced engineers to write quality code, troubleshoot issues, and improve existing products and functionality. Gain hands-on experience using modern AI-assisted development tools, including Claude Code, to support coding, debugging, testing, documentation, and development workflows.

Data Engineering – Help build, maintain, and improve the data infrastructure that powers our products and analytics solutions. Work with large, complex datasets to support daily data operations, develop and optimize data ingestion pipelines, automate data processes, and monitor and troubleshoot data workflows to ensure reliable, high-quality data. Explore opportunities to use AI-assisted tools, including Claude Code, to accelerate development, automate workflows, and improve engineering efficiency.

Data Science – Apply statistics, machine learning, and AI to explore complex healthcare data and solve real-world business problems. Support data exploration, model development and evaluation, experimentation, and the communication of analytical findings. Work with emerging technologies, including generative AI, Large Language Models (LLMs), and AI-assisted development tools such as Claude Code, to explore new approaches to analytics and problem solving.

Interns will be aligned to a team and project based on their skills, interests, academic background, and business needs.

We're looking for students who are already experimenting with AI, not just learning about it in the classroom. Strong candidates will have hands-on experience using generative AI and AI-assisted development tools through coursework, personal projects, research, internships, hackathons, or other practical applications.

Experience may include tools and technologies such as Claude, Claude Code, LLMs, prompt engineering, AI-assisted coding, RAG, embeddings, vector search, AI agents, or other applied AI/ML technologies.

We're especially interested in students who can demonstrate how they've used AI to build something, solve a problem, automate a process, analyze data, or improve the way they work—and who are curious about continuing to experiment with emerging technology.

Must live in the Kansas City metro area

Able to work without visa sponsorship now and in the future

Pursuing a Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, Data Analytics, Data Engineering, or related field

Juniors and above preferred (2+ years of degree experience)

Prior internship experience in data engineering, analytics, or data science is a plus

Programming: Python and SQL

Additional languages: C#/.NET preferred; Java or C++ also relevant

Databases: SQL Server and relational databases; exposure to NoSQL or MongoDB is a plus

Data & Development Tools: Databricks, Spark, Git

Analytics & Visualization: Excel, Power BI, PowerPoint

Frontend Development: HTML, CSS/Sass, React, and TypeScript are a plus for Software Engineering candidates

Understanding of object-oriented programming concepts; C#/.NET experience is preferred
Ability to troubleshoot and debug applications
Ability to write performant SQL queries against complex data models
Understanding of relational databases, data structures, and software development fundamentals
Exposure to data pipelines, ETL/ELT processes, distributed data processing, APIs, or cloud-based technologies is a plus
Familiarity with source control and collaborative development using Git

For candidates interested in the Data Science track, we're also looking for exposure to or interest in:

Statistics, probability, and exploratory data analysis

Machine learning fundamentals, including supervised and unsupervised learning

Classification and regression techniques

Model development, validation, and evaluation

Feature engineering and data preprocessing

Natural language processing (NLP)

Python data science libraries such as pandas, NumPy, scikit-learn, or similar tools

Data visualization and communicating analytical findings

Experimentation, hypothesis testing, and quantitative problem solving

Generative AI and Large Language Models (LLMs) are a plus

Exposure to prompt engineering, embeddings, vector search, retrieval-augmented generation (RAG), or other applied AI techniques is a plus

Strong communication and collaboration skills

Ability to communicate data topics and results clearly

Self-motivated, proactive, and effective in a remote environment

Strong problem-solving mindset and team player attitude

What you’ll appreciate:

•An entrepreneurial culture that won’t limit you to a job description

•Being listened to, valued, appreciated -- and having your contributions rewarded

•Enjoying your work each day with a great group of people

Apply TODAY!

careers.questanalytics.com

About Quest Analytics

For more than 30 years, we’ve been improving provider network management one groundbreaking innovation at a time. 95% of America’s health plans use our tools, including the eight largest in the nation. Achieve your personal quest to build a great career here.

Visa sponsorship is not available at this time.

Quest Analytics provides equal employment opportunities to all people without regard to race, color, religion, sex, national origin, ancestry, marital status, veteran status, age, disability, sexual orientation or gender identity or expression or any other legally protected category. We are committed to creating and maintaining a workforce environment that is free from any form of discriminations or harassment.

Applicants must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.

Persons with disabilities who anticipate needing accommodations for any part of the application process may contact, in confidence hr@questanalytics.com

NOTE: Staffing agencies, headhunters, recruiters, and/or placement agencies, please do not contact our hiring managers directly. We are not currently working with additional outside agencies at this time.