Quest Analytics Internship Program - Summer 2027 in Kansas City
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Before you apply
LocationOverland Park, KS
Work modehybrid
Typeinternship
SeniorityEntry
DepartmentInternships, Internships
Company size51–200 people
PostedSep 15, 2026 · 1mo ago
Verified live10h ago
At a glanceSummarised by Seekless from the posting.
Pursuing a Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, Data Analytics, Data Engineering, or related field
Python and SQL
SQL Server and relational databases; exposure to NoSQL or MongoDB is a plus
Databricks, Spark, Git
Excel, Power BI, PowerPoint
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
Familiarity with source control and collaborative development using Git
Hands-on experience using generative AI and AI-assisted development tools through coursework, personal projects, research, internships, hackathons, or other practical applications
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
Juniors and above preferred (2+ years of degree experience)
Prior internship experience in data engineering, analytics, or data science is a plus
C#/.NET preferred; Java or C++ also relevant
HTML, CSS/Sass, React, and TypeScript are a plus for Software Engineering candidates
Understanding of object-oriented programming concepts; C#/.NET experience is preferred
Exposure to data pipelines, ETL/ELT processes, distributed data processing, APIs, or cloud-based technologies is a plus
Exposure to Statistics, probability, and exploratory data analysis (for Data Science track)
Machine learning fundamentals, including supervised and unsupervised learning (for Data Science track)
Classification and regression techniques (for Data Science track)
Model development, validation, and evaluation (for Data Science track)
Feature engineering and data preprocessing (for Data Science track)
Natural language processing (NLP) (for Data Science track)
Python data science libraries such as pandas, NumPy, scikit-learn, or similar tools (for Data Science track)
Data visualization and communicating analytical findings (for Data Science track)
Experimentation, hypothesis testing, and quantitative problem solving (for Data Science track)
Generative AI and Large Language Models (LLMs) (for Data Science track)
Exposure to prompt engineering, embeddings, vector search, retrieval-augmented generation (RAG), or other applied AI techniques (for Data Science track)
Must live in the Kansas City metro area or in the Rolla, MO area
Able to work without visa sponsorship now and in the future
Skills
Python
SQL
C#
.NET
Java
C++
SQL Server
NoSQL
MongoDB
Databricks
Spark
Git
Excel
Power BI
PowerPoint
HTML
CSS
Sass
React
TypeScript
Claude Code
Claude
LLMs
generative AI
prompt engineering
RAG
embeddings
vector search
AI agents
pandas
NumPy
scikit-learn
NLP
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.
About the role
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 or in the Rolla, MO 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.
Nice to have
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 or in the Rolla, MO 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