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GuideWell Mutual

Nonprofit mutual health insurance group in Florida

IT Graduate Internship - Multiple Teams

Applied Machine LearningConfirmed live in the last 24 hours
Internship · Summer 2027Jacksonville, FL, USARemote

About the Job

Requirements

  • Currently enrolled in a master's degree program in computer science, information technology, mathematics, psychology, or a related field at an accredited college or university.
  • Have a cumulative GPA of at least 3.0.
  • Be able to work at least 30 hours per week.
  • Have basic personal computer skills, including working knowledge of Microsoft Office Word, Excel, PowerPoint, and Outlook.
  • Have basic programming knowledge, such as JavaScript, HTML, CSS, or other object-oriented programming experience.
  • Work under minimal supervision and adapt to a dynamic, changing environment.
  • For the Data Science track, be currently pursuing a bachelor's or master's degree in Computer Science, Data Science, Statistics, Mathematics, Mechanical Engineering, Electrical Engineering, Physics, or Computational Biology.
  • For the Data Science track, have knowledge of machine learning algorithms, deep learning techniques, data analysis, and visualization; be skilled in Python, R, or SQL; and be able to work with large datasets.
  • For the Data Science track, be taking advanced computer science and mathematics courses, including Data Structures and Algorithms, Calculus I, Probability and Statistics, Linear Algebra, and Calculus II.
  • For the Generative AI track, have a strong foundation in large language models, prompting techniques, retrieval-augmented generation, and agentic or tool-use patterns.
  • For the Generative AI track, have experience with large language model application programming interfaces and application frameworks, such as LangChain or similar orchestration tools.
  • For the Generative AI track, be proficient in Python and have data manipulation and statistical analysis skills.
  • For the Infrastructure track, have experience monitoring and maintaining complex systems, and be able to design, implement, and troubleshoot technology and develop and implement policies that protect technology assets.
  • For the Infrastructure track, know Linux commands and understand how to work with Linux systems; have a basic understanding of OpenShift and Kubernetes.
  • For the Cloud Engineering track, have experience with Amazon Web Services or Microsoft Azure.
  • For the Cybersecurity track, have a strong foundation in information security principles and practices.
  • For the Data Analytics track, have basic skills in SQL, R, and/or Python.
  • For the Application Development track, have strong programming skills in Java, JavaScript, HTML, CSS, Python, or Swift; knowledge of database management systems such as MySQL, MongoDB, or PostgreSQL; experience with Git; experience with front-end frameworks such as React or Angular; and familiarity with Node.js.
  • For the Business Analyst track, understand business operations and processes; have experience with business analysis tools and techniques such as use cases, user stories, and process mapping; be familiar with Agile and Waterfall software development methodologies; and have experience collaborating across teams.

Responsibilities

  • Work on real projects and receive on-the-job training with a mentor from the track-specific team.
  • Meet with leaders from all domains within the technology organization and engage with executive technology leadership throughout the program.
  • Present to the Chief Information Officer and technology vice presidents at the conclusion of the program.
  • For the Generative AI track, design, build, and deploy solutions using enterprise AI platforms, working with business and IT stakeholders to apply prompt engineering, agentic workflows, tool integrations, and responsible AI practices to business problems.
  • For the Infrastructure track, help develop and implement policies and procedures to safeguard company data, databases, and information systems, and help keep technology secure, efficient, and running effectively.
  • For the Cybersecurity track, collaborate with red-team and blue-team members, work on security challenges, explore security frameworks, and develop an understanding of information security concepts, principles, and solutions.
  • For the Data Analytics track, work on business problems and publicly available datasets using data wrangling, model development, and visualization; support data analytics, business intelligence, and data quality assessment.
  • For the Data Science track, design, develop, and deploy data analytics models and algorithms to solve business problems, and analyze large datasets to identify trends, patterns, and insights.
  • For the Application Development track, develop new applications using web development, design, and programming; collaborate with teams, gather requirements, and design solutions that meet business needs.
  • For the Business Analyst track, define and document business requirements; collaborate with software developers, product owners, and testers; assist with end-to-end capabilities and guide projects from concept to production deployment; and troubleshoot application defects to address business and end-user needs.

Desired Qualifications

  • For the Generative AI track, experience with open-source or commercial models and familiarity with machine learning or deep learning frameworks such as TensorFlow or PyTorch are preferred but not required.
  • For the Infrastructure track, knowledge or experience with AI platforms, large language models, or supporting AI infrastructure or integrations is a plus.
  • For the Cloud Engineering track, experience with Amazon Web Services or Microsoft Azure is preferred.
  • For the Cybersecurity track, completed or in-progress Security+, Network+, A+, and/or Linux+ certifications are preferred.
  • For the Cybersecurity track, interest in AI-assisted tools for threat detection and response is a plus.
  • For the Business Analyst track, experience with SQL databases is preferred.

About the Company

GuideWell Mutual

Nonprofit mutual health insurance group in Florida

GuideWell Mutual Holding Corporation is the not-for-profit, policyholder-owned parent of Florida Blue, the Blue Cross and Blue Shield health insurer for Florida. Its family of companies also includes Triple-S, which runs the Blue plans in Puerto Rico, and GuideWell Source, which processes Medicare claims for the federal government through Novitas Solutions and First Coast Service Options. Most income comes from health plan premiums paid by employers, individuals and Medicare members, plus fees for running claims for others. As a mutual, it has no shareholders, and Florida Blue policyholders control it. GuideWell was formed in 2013 and is based in Jacksonville, Florida.

Company size
10,001+
Company stage
Not listed
Total funding
Not listed
Headquarters
Jacksonville, FL
Founded
2011

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