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Data Science Co Op Jobs in Florida (NOW HIRING)

Materials Engineering Co-Op Fall 2027

Jacksonville, FL · On-site

$15.50 - $20.25/hr

The CO-OP reviews the progress and evaluates the data and presents the results of multiple projects ... Current student of Chemical Engineering/Material Science and Engineering /Bioengineering /Polymer ...

Materials Engineering Co-Op Spring 2027

Jacksonville, FL · On-site

$15.50 - $20.25/hr

The CO-OP reviews the progress and evaluates the data and presents the results of multiple projects ... Current student of Chemical Engineering/Material Science and Engineering /Bioengineering /Polymer ...

Data Architect - REMOTE

Tallahassee, FL · Remote

$110K - $143K/yr

Bachelor's Degree in CIS, Data Science, Data Analytics or related field preferred or equivalent ... Co-op Solutions offers a competitive Total Rewards package: 401(k) with generous company match ...

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Showing results 1-20

Data Science Co Op information

See Florida salary details

$28K

$91.7K

$146.8K

How much do data science co op jobs pay per year?

As of Aug 30, 2026, the average yearly pay for data science co op in Florida is $91,721.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,600.00 and $101,600.00 per year, depending on experience, location, and employer.

What is a data science co op?

A Data Science Co-Op is a temporary, structured work experience program for students or early-career professionals to apply data science skills in a real-world setting. Co-Ops typically last several months and involve tasks such as data analysis, machine learning model development, and visualization. Participants work closely with data teams, gaining hands-on experience with tools like Python, SQL, and cloud platforms. Unlike internships, Co-Op positions may be full-time for a semester and often offer deeper engagement with projects. This experience helps build technical skills, industry knowledge, and professional connections for future career opportunities.

What kinds of projects or tasks can I expect to work on as a data science co op?

As a Data Science Co Op, you may be involved in a variety of projects such as data cleaning, exploratory data analysis, building predictive models, or generating data visualizations to support business decisions. You’ll often work alongside more experienced data scientists, analysts, and cross-functional teams to collaboratively solve real-world problems using data. This role typically emphasizes hands-on learning and practical application of analytical techniques, offering a great opportunity to develop your technical and communication skills. In addition, you may participate in regular meetings, present findings, and contribute to ongoing research or product development initiatives.

What are the key skills and qualifications needed to thrive in the data science co op position, and why are they important?

To succeed as a Data Science Co Op, you should have a solid understanding of statistics, data analysis, and programming, typically gained through coursework or relevant experience in computer science, mathematics, or related fields. Familiarity with tools such as Python or R, SQL databases, and data visualization libraries is highly valuable, and experience with machine learning platforms or certifications can be advantageous. Effective communication, problem-solving, and a collaborative mindset help you excel in team-oriented, fast-paced environments. These competencies are crucial for analyzing complex datasets, delivering actionable insights, and supporting business decision-making.

What are the most commonly searched types of Data Science jobs in Florida?

The most popular types of Data Science jobs in Florida are:

What are popular job titles related to Data Science Co Op jobs in Florida?

For Data Science Co Op jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Data Science Co Op jobs in Florida look for?

The top searched job categories for Data Science Co Op jobs in Florida are:

What cities in Florida are hiring for Data Science Co Op jobs?

Cities in Florida with the most Data Science Co Op job openings:

Infographic showing various Data Science Co Op job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $91,721 per year, or $44.1 per hour.

Artificial Intelligence Co-Op/Intern - Spring 2027

Canpotex

Tampa, FL • On-site

$14.25 - $19/hr

Full-time

Posted 9 days ago


Job description

The Mosaic Company (NYSE: MOS) is the world's leading integrated producer of concentrated phosphate and potash-two of the three most important nutrients in agriculture. We employ more than 13,000 people in six countries to serve farmers all over the world. Our Headquarters is in Lithia, Florida with operations throughout North America (U.S./Canada) and South America.

At Mosaic We Help the World Grow the Food it Needs - Apply today and join our team!

Artificial Intelligence Co-Op/Intern - Spring 2027

Where will you work: FishHawk site located at 13830 Circa Crossing Drive. Lithia, FL, 33547

An Artificial Intelligence Co-Op/Intern will support Mosaic's AI team in building and scaling AI/ML and GenAI solutions that drive business value across key functions. This role involves rapid prototyping, iterative development, and collaboration with data scientists and engineers to move ideas into production. Our student opportunities allow you to learn from professionals, offer competitive pay, an opportunity to work with a global leader on exciting projects and much more.

Term

January 11th, 2027 to April 23th, 2027

Full time Co-Op/Internship. Typically, 36-40 hoursa week.

In person, Hybrid. 9/80 schedule if applicable.

What you'll do:

  • Build & Prototype AI Solutions

Develop and evaluate ML models, LLM-powered applications, or agentic AI workflows for a scoped business problem

Document methodology, assumptions, and trade-offs while completing a scoped analysis or prototype, then clearly translate results into actionable recommendations.

  • Develop Reproducible AI/Data Workflows

Build and document reproducible datasets, training pipelines, or evaluation harnesses

Define and document cleaning, feature engineering, prompt/evaluation, and validation processes to ensure scalability and reliability, while building reproducible datasets or pipelines.

  • Package & Communicate Results

Deliver a final package (summary, visuals, code/notebook, model card, runbook)

Present key insights, limitations, risks, and recommended next steps to both technical and business stakeholders, and deliver a final package including summaries, visuals, and supporting code or documentation.

  • Collaborate across the organization - partnering with data scientists, engineers, product managers, and business stakeholders to scope problems and ship solutions.

  • Participation in department meetings and meetings specific to the project assignment.

  • Adhering to Mosaic's mission, guiding principles and priorities, and key competencies.

What you'll need:

  • Junior level or above by January 2027 pursuing a degree in Computer Science or a closely related field (Data Science, Artificial Intelligence, Machine Learning, Statistics, Mathematics, or Computer/Software Engineering) - Computer Science background strongly preferred

  • 2.75 GPA or higher

  • Proficiency in Python and familiarity with common libraries (e.g., pandas, NumPy, scikit-learn, PyTorch or TensorFlow); comfort with Git and Jupyter notebooks

  • Coursework, projects, or hands-on experience with machine learning, deep learning, NLP, or applied statistics

  • Exposure to Generative AI / LLMs (prompting, RAG, agentic workflows) and cloud platforms (Azure, AWS, or GCP) is a strong plus

  • Nimble, sharp, and intellectually curious - a fast learner who thrives in ambiguity, asks good questions, and picks up new tools and concepts quickly

  • Strong problem-solving skills and the ability to break down ambiguous business problems into structured, testable AI/data approaches

  • 1-2 years of experience volunteering, working with student/school organizations, orworkis preferred.

  • Previousinternship or co-op experience is preferred.

  • Reliable transportation and valid driver's license - You will need to be able to travel to and from sites and/or office.

  • Ability to work full timeand be a student in standing at the time of the co-op/internship

  • Selected candidates willbe requiredto successfully completepost-offer/pre-placementdrug and alcohol screening, background check, physical, functional capacity examination.

  • Experience working in a team environment is a must

  • Effective verbal and written communication skills - able to explain technical concepts clearly to non-technical audiences

The physical demands described are representative of those that must be met by an employee to successfully perform the functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

  • Must be able to safely perform the essential functions of the job without posing a direct threat to the safety of his or her own self, or the safety of others

  • Able to lift approximately 0-25 lbs. occasionally

  • Able to climb stairs and work at various heights

  • Able to distinguish varying or specific colors, patterns or materials

  • Able to hear, with or without correction

  • Able to read, write and understand basic English

  • Able to see, with or without correction

  • Able to use fine hand motor skills

  • Must be authorized to work in the United States