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Data Science Summer Internship Jobs in Florida (NOW HIRING)

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 ... sciences, data analysis, finance, accounting or other business school curriculum. Primary Job ...

MHI

Data Science Internship (Governance)

Lake Mary, FL · On-site

Data Science Associate (Governance) Company Overview At Mitsubishi Power, we're not just building better clean energy technologies; we're architecting a better future. Our team is boldly redefining ...

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How much do data science summer internship jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for data science summer internship in Florida is $16.82, according to ZipRecruiter salary data. Most workers in this role earn between $12.93 and $18.32 per hour, depending on experience, location, and employer.

What is a data science summer internship?

A Data Science Summer Internship is a temporary, typically 8-12 week position offered during the summer to students or recent graduates interested in gaining hands-on experience in data science. Interns work on real-world projects involving data collection, cleaning, analysis, and visualization, often using tools like Python, R, and SQL. These internships provide valuable exposure to industry practices, mentorship from experienced data scientists, and networking opportunities that can help launch a career in data science.

What is the difference between Data Science Summer Internship vs Data Analyst Summer Internship?

AspectData Science Summer InternshipData Analyst Summer Internship
Required CredentialsTypically pursuing or recent graduate in Data Science, Computer Science, or related fieldsOften pursuing or recent graduate in Statistics, Business, or related fields
Work EnvironmentHands-on projects involving machine learning, programming, and data modelingData cleaning, reporting, and visualization tasks
Employer & Industry UsageTech companies, startups, finance, healthcareBusiness, marketing, finance, consulting

While both internships involve working with data, Data Science Summer Internships focus on building predictive models and advanced analytics, whereas Data Analyst Summer Internships emphasize data interpretation, reporting, and visualization. Candidates should choose based on their skills and career goals in data-related roles.

What are the key skills and qualifications needed to thrive as a data science summer intern, and why are they important?

To thrive as a Data Science Summer Intern, you need a solid grounding in statistics, programming (often Python or R), and data analysis, typically supported by coursework in computer science, mathematics, or a related field. Familiarity with tools like SQL, Jupyter Notebooks, and data visualization libraries, as well as exposure to machine learning frameworks, is highly valuable. Strong problem-solving abilities, curiosity, and effective communication skills set outstanding interns apart. These skills are crucial for translating complex data into actionable insights and collaborating successfully within multidisciplinary teams.

What types of projects and collaboration can I expect during a data science summer internship?

As a Data Science Summer Intern, you'll typically work on real-world projects involving data cleaning, exploratory data analysis, and building predictive models under the guidance of experienced data scientists. Interns often collaborate with cross-functional teams such as engineering, product management, and business analytics to understand project requirements and deliver actionable insights. You'll likely participate in team meetings, present your findings, and receive constructive feedback, offering a valuable opportunity to learn industry best practices and improve your technical and communication skills.
What are the most commonly searched types of Data Science Summer jobs in Florida? The most popular types of Data Science Summer jobs in Florida are:
What are popular job titles related to Data Science Summer Internship jobs in Florida? For Data Science Summer Internship jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Data Science Summer Internship jobs in Florida look for? The top searched job categories for Data Science Summer Internship jobs in Florida are:
What cities in Florida are hiring for Data Science Summer Internship jobs? Cities in Florida with the most Data Science Summer Internship job openings:
Data Science Summer Internship jobs near you
Infographic showing various Data Science Summer Internship job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $34,980 per year, or $16.8 per hour.

2027 Summer Internship

Fortegra

Jacksonville, FL • On-site

Full-time

Posted 29 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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