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Machine Learning Summer Internship Jobs in Florida

Fortegra

2027 Summer Internship

Jacksonville, FL · On-site

The 8-week Summer Internship Program offers students the chance to gain real-world experience in a ... A highly motivated and proactive approach to learning and professional development. * Strong ...

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Machine Learning Summer Internship information

What are the key skills and qualifications needed to thrive as a Machine Learning Summer Intern, and why are they important?

To thrive as a Machine Learning Summer Intern, you need a solid background in mathematics, statistics, and programming (especially Python), often supported by ongoing coursework in computer science or related fields. Familiarity with machine learning frameworks like TensorFlow or PyTorch, version control systems such as Git, and data analysis tools is typically required. Strong problem-solving skills, curiosity, and teamwork are important soft skills that help interns contribute effectively and learn quickly. These skills and qualities are crucial for applying theoretical knowledge, collaborating on real projects, and adapting to the fast-evolving field of machine learning.

What types of projects can I expect to work on during a Machine Learning Summer Internship?

As a Machine Learning Summer Intern, you can expect to contribute to projects such as data preprocessing, building and evaluating machine learning models, and assisting with the deployment of algorithms into production environments. Interns often work alongside data scientists and engineers on real-world datasets to solve business problems, develop prototypes, or improve existing models. This hands-on experience will help you gain practical skills in using popular ML frameworks and understanding the end-to-end machine learning workflow.

What is the difference between Machine Learning Summer Internship vs Data Science Summer Internship?

AspectMachine Learning Summer InternshipData Science Summer Internship
Required CredentialsBasic programming, math, and machine learning knowledgeProgramming, statistics, and data analysis skills
Work EnvironmentDeveloping ML models, algorithms, and prototypesData analysis, visualization, and reporting
Industry UsageTech companies, AI startups, research labsBusiness, finance, healthcare, tech firms

Both internships involve working with data and require programming skills, but Machine Learning Summer Internships focus on developing algorithms and models, while Data Science Summer Internships emphasize data analysis and insights. The choice depends on your interest in building models versus analyzing data.

What is a Machine Learning Summer Internship?

A Machine Learning Summer Internship is a temporary, typically 8-12 week program for students or recent graduates to gain practical experience in machine learning. Interns work under the supervision of experienced professionals, contributing to real-world projects involving data analysis, model development, and algorithm implementation. These internships often provide mentorship, networking opportunities, and exposure to the latest tools and technologies in the field. They are valuable for building technical skills and improving career prospects in artificial intelligence and data science.
What are popular job titles related to Machine Learning Summer Internship jobs in Florida? For Machine Learning Summer Internship jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Machine Learning Summer Internship jobs in Florida look for? The top searched job categories for Machine Learning Summer Internship jobs in Florida are:
What cities in Florida are hiring for Machine Learning Summer Internship jobs? Cities in Florida with the most Machine Learning Summer Internship job openings:
Machine Learning Summer Internship jobs near you
Infographic showing various Machine Learning Summer Internship job openings in Florida as of July 2026, with employment types broken down into 7% Internship, 1% As Needed, 69% Full Time, 20% Part Time, 2% Temporary, and 1% Contract. Highlights an 87% Physical, 1% Hybrid, and 12% Remote job distribution.
2027 Summer Internship

2027 Summer Internship

Fortegra

Jacksonville, FL • On-site

Full-time

Posted 14 days ago

Job description

The 8-week Summer Internship Program offers students the chance to gain real-world experience in a professional environment, working alongside industry experts. Interns will be placed in one of several departments based on skills, interests, and business needs, including:
  • Internal Audit
  • Data Analytics
  • Underwriting
  • Cybersecurity
  • Business Analysis

What Intern will gain:
  • Hands-on experience in your chosen discipline.
  • Exposure to company operations and industry best practices.
  • Mentorship from experienced professionals.
  • Opportunities to network with peers and leaders across the organization.
  • Professional development workshops and end-of-program presentation experience.

During the summer internship, the intern will report to the designated manager and will be responsible for assigned tasks and duties relevant to that department.
Minimum Qualifications:
Currently enrolled in a Bachelor's or Master's degree program in a related field (e.g., Business, Finance, Accounting, Computer Science, Risk Management, etc.).
  • Demonstrated strong academic performance.
  • A highly motivated and proactive approach to learning and professional development.
  • Strong analytical, problem-solving, and communication skills.
  • Proficiency in Microsoft Office Suite; additional technical skills may be preferred for certain roles (e.g., SQL, Python, Tableau for Data Analytics; knowledge of IT security tools for Cybersecurity).
  • Ability to work both independently and in a team environment.
  • Eagerness to learn and contribute in a professional setting.
  • Rising seniors preferred
  • Insurance and/or financial industry experience not required
  • Relevant work or internship experience and/or schoolwork with a focus in information systems, statistics, risk management, actuarial sciences, data analysis, finance, accounting or other business school curriculum.

Primary Job Functions:
  • Report to your designated department leader/ manager and perform assigned tasks in relevant department
  • Responsibilities might include but are not limited to:

Support Department Operations
  • Assist with day-to-day tasks and ongoing projects within the assigned department.
  • Maintain organized records, documentation, and reports.

Conduct Research & Analysis
  • Gather and analyze data to support decision-making.
  • Research industry trends, regulations, and best practices relevant to the department.

Collaborate with Teams
  • Participate in meetings, brainstorming sessions, and project reviews.
  • Work with cross-functional teams to complete assignments.

Assist in Process Improvement
  • Identify potential areas for efficiency and recommend solutions.
  • Document workflows, policies, or technical processes.

Prepare Reports & Presentations
  • Create summaries, dashboards, or slide decks to present findings.
  • Contribute to end-of-internship project presentations to leadership.

Engage in Professional Development
  • Attend training sessions and networking events organized by the company.
  • Seek feedback and apply learning to assigned tasks

The above cited duties and responsibilities describe the general nature and level of work performed by people assigned to the job. They are not intended to be an exhaustive list of all the duties and responsibilities that an incumbent may be expected or asked to perform.
Skills & Competencies Required:
  • Analytical Thinking - Ability to collect, interpret, and analyze data effectively.
  • Attention to Detail - Produces accurate, high-quality work with minimal errors.
  • Communication Skills - Strong verbal and written communication skills for collaboration and presentation.
  • Technical Proficiency - Comfortable with Microsoft Office Suite (Excel, PowerPoint, Word); department-specific tools may be required (e.g., SQL, Tableau, Python, cybersecurity platforms).
  • Problem-Solving - Approaches challenges with creativity, logic, and persistence.
  • Adaptability - Able to adjust quickly to changing priorities, assignments, and tools.
  • Teamwork - Works effectively with colleagues across different departments and levels.
  • Professionalism - Maintains confidentiality, punctuality, and a positive attitude.
  • Time Management - Prioritizes tasks to meet deadlines in a fast-paced environment.
  • Initiative - Proactively seeks opportunities to contribute and learn

#LI-Onsite
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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