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Sports Data Science Internship Jobs in Florida (NOW HIRING)

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 ...

Job Summary: The Performance Coach Sports Science Internship is a hybrid, immersive program ... Passionate about athlete development and data-driven performance. Internship Logistics: If selected ...

Sports Science Intern - Fall 2026

Gulf Breeze, FL · On-site

$13.75 - $18.25/hr

Job Summary: The Performance Coach Sports Science Internship is a hybrid, immersive program ... Passionate about athlete development and data-driven performance. Internship Logistics: If selected ...

... data science, machine learning, or quantitative analytics experience. Relevant internship, co‑op, or graduate research may count toward experience. * Hands‑on experience with SQL on a modern ...

New

Data Scientist

Orlando, FL · On-site

$107K/yr

In this role, you will bridge the gap between theoretical data science and real-world operational ... Technical Leadership & Mentorship (10%) • Lead and manage a pipeline of talent, including interns ...

Sports Marketing Internship

Margate, FL · On-site

$13.50 - $18.25/hr

Training & development Sports Marketing Internship - Community Engagement & Digital Media (College ... science. What began as training solely for the aspiring youth athlete, matured into fitness ...

Sr. Data Analyst

Orlando, FL

$80K - $101K/yr

... sports division USA Sports, along with complementary digital assets including Fandango, Rotten ... Prior internship or work experience is preferred * Strong intellectual curiosity paired with ...

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Sports Data Science Internship information

What is a sports data science internship?

A Sports Data Science Internship is a temporary position that allows students or recent graduates to gain hands-on experience applying data science techniques to sports-related problems. Interns typically work with data from games, athletes, or teams to analyze performance, develop predictive models, and support decision-making in sports organizations. This role often involves using programming languages like Python or R, working with large datasets, and collaborating with coaches or analysts. Interns may also assist in visualizing data and presenting insights to help improve team strategies or player development.

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

To thrive as a Sports Data Science Intern, strong quantitative skills, a background in statistics or data science, and experience with sports analytics are generally required. Familiarity with programming languages such as Python or R, data visualization tools, and knowledge of sports data platforms or databases is typical. Strong problem-solving abilities, attention to detail, and effective communication help interns stand out in team settings. These skills are crucial for analyzing complex sports data, generating actionable insights, and effectively conveying findings to coaches and decision-makers.

What types of projects or tasks can I expect to work on during a sports data science internship?

As a Sports Data Science Intern, you can expect to work on projects such as analyzing player performance data, building predictive models for game outcomes, and cleaning large datasets for use in analytics. Interns often collaborate with data scientists, coaches, and performance analysts to translate raw data into actionable insights. You'll likely use programming languages like Python or R and get exposure to sports-specific analytics software, providing valuable hands-on experience that can help launch your career in sports analytics.

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

AspectSports Data Science InternshipSports Data Analyst
Required CredentialsRelevant coursework, basic programming skillsDegree in statistics, data science, or related field
Work EnvironmentInternship programs, sports teams, analytics companiesFull-time roles in sports organizations, analytics firms
Employer & Industry UsageEntry-level, training-focused positions in sports analyticsProfessional, ongoing data analysis roles in sports

The Sports Data Science Internship is an entry-level, training-focused position designed for students or recent graduates gaining experience in sports analytics. In contrast, a Sports Data Analyst is a full-time professional role requiring more experience and specialized skills. Internships provide foundational exposure, while analysts handle ongoing data projects in sports organizations.

What cities in Florida are hiring for Sports Data Science Internship jobs? Cities in Florida with the most Sports Data Science Internship job openings:
Infographic showing various Sports Data Science Internship job openings in Florida as of August 2026, with employment types broken down into 14% Internship, 70% Full Time, and 16% Part Time. Highlights an 86% In-person, and 14% Remote job distribution.

Data Science Internship (Governance)

Mitsubishi Heavy Industries Group

Lake Mary, FL • On-site

Internship

Re-posted 6 days ago


Job description

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 power generation to accelerate the world's energy transition. We operate as one team, pushing toward our vision of the future. We value problem solvers, prioritize collaboration, and support each other in an inclusive culture built on accountability and authenticity by demonstrating our values: Safety, Family, Innovative, Inclusive, Accountable & Courageous. Together, we're building the future we all aspire to - making net zero a reality.

Role Overview

We are seeking a motivated and analytical Data Science Associate to support Compliance, Legal, Assurance, and Governance functions by embedding data analytics into compliance, risk, and controls activities across the organization. This earlycareer role is designed for candidates interested in applying data science, automation, and emerging technologies to improve assurance effectiveness, enhance control monitoring, and advance the use of continuous, riskfocused oversight.

Key Responsibilities

  • Design, develop, and execute data analytics to support compliance reviews, audits, governance and testing
  • Support planning, risk assessments, fieldwork, reporting, and continuous monitoring through analytics
  • Build repeatable and scalable analytics routines to increase testing coverage, and dashboarding visualization; organize Intranet, policies and procedures and enhance efficiency of such processes
  • Apply automation and analytics tools including Python, Power BI, Microsoft tools, and GenAI-enabled applications
  • Support Compliance, JSOX and controls assurance activities through data extraction, testing, evidence analysis, and remediation validation
  • Evaluate control design and operating effectiveness using data-driven techniques
  • Ensure analytics are traceable, defensible, and aligned with assurance standards
  • Collaborate with Compliance, Legal, Internal Audit, Finance, IT and Operations, stakeholders

Other Duties & Responsibilities

  • Comply with all security, ethics, confidentiality, and data governance requirements
  • Support development of reusable analytics, templates, and documentation to scale analytics capabilities
  • Contribute to continuous improvement initiatives within Compliance, Legal, Assurance and Governance related functions
  • Communicate findings clearly and effectively with peers, management, and stakeholders
  • Maintain the highest level of integrity, professionalism, and accountability
  • Perform other related duties as required

Learning Outcomes

  • Exposure to Compliance, Legal, Internal Audit, risk management, and controls assurance processes
  • Hands-on experience applying data science to real-world business, governance and compliance challenges
  • Development of analytics, automation, and continuous monitoring solutions
  • Experience working cross-functionally with different teams
  • Mentorship and professional development within assurance and analytics disciplines

Requirements

  • Currently enrolled in a Bachelor's or Master's program in Data Science, Computer Science, Statistics, Data Analytics, Software Engineering, or a related field
  • Strong analytical and problem-solving skills with attention to detail
  • Experience with at least one modern programming language; Python preferred
  • Working knowledge of data analysis tools, databases, and Microsoft Office applications
  • Ability to interpret technical and business documentation and communicate findings effectively
  • Adaptable, curious, and proactive mindset with interest in a 1-2 year development experience
  • Ability to meet physical requirements including standing, walking, bending, and lifting up to 25-50 pounds in varying environments

Mitsubishi is an Equal Employment Opportunity (EEO) employer actively seeking to diversify the workforce and is committed to a policy of equal employment opportunity. Therefore, all qualified applicants regardless of race, color, religion, gender, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally recognized protected basis under applicable law, are strongly encouraged to apply.