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    Quest Analytics®

    Information Technology & Services

    Quest Analytics Internship Program - Summer 2027 in Kansas City

    Overland Park, United StatesOn-SiteInternshipPosted 2w ago
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    Job description

    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!

    Internship Opportunities:

      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.

      AI & Emerging Technology

      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.

    What You'll Need:

    • Must live in the Kansas City metro area
    • Able to work without visa sponsorship now and in the future
    • Education:

    • 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
    • Technical Skills:

    • 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
    • Software & Data Engineering Skills:

      • 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
      • Data Science Skills:

        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
      • Soft Skills:

      • 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 [email protected]
    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.

    Job details are sourced from the employer's original posting.

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    About the company

    Quest Analytics®

    For more than 30 years, our mission has been to improve provider network management and in turn, help people across America receive the information and care they deserve. Our Provider Network Management platform brings trust, transparency, and confidence in the process of measuring, managing, and monitoring your provider networks. We partner with both providers and healthcare organizations to address two of the biggest issues facing the healthcare industry today: accessible networks and accurate provider directories. Through our BetterDoctor Exchange, we make it easy for providers to verify and update their data. We deliver the accurate provider data in our enterprise solution to enable health plans, health systems, payers, and healthcare organizations to maintain adequate networks & accurate provider directories. We help you maintain compliance with the federal and state regulator requirements, streamline internal processes across your organization, and allow you to provide your members with convenient access to the care they are looking for. Our Quest Analytics Family includes over 400 of America's healthcare organizations, as well as more than 500,000 providers, nationwide. We honor and cherish every relationship we have with our business partners. As we continue to lead the industry in Provider Network Management, we welcome the opportunity to strategize with you and your team about how we can assist you with these same critical matters. Let's come together to transform the future of healthcare! Better Data. Better Networks. Better Experience.

    View all Quest Analytics® jobsLinkedIn
    Industry
    Information Technology & Services
    Founded
    2003
    Open roles
    7

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