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Data Science Fall Internship Jobs in Orlando, FL

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 ...

Data Scientist

Orlando, FL ยท On-site

$107K/yr

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

Data Scientist- Associate

Orlando, FL ยท On-site

$55K - $55K/yr

Required : โ€ข Minimum one year of experience or strong internship/academic projects in data science, machine learning, or software engineering โ€ข Minimum of a Bachelor's degree is required โ€ข ...

Be Seen First

Bachelor's degree in Computer Science, Statistics, Mathematics, or a related quantitative field. * 5+ years of industry experience (in addition to internships) in data science and machine learning ...

Be Seen First

Bachelor's degree in Computer Science, Statistics, Mathematics, or a related quantitative field. * 5+ years of industry experience (in addition to internships) in data science and machine learning ...

Sr. Data Analyst

Orlando, FL

$80K - $101K/yr

... Science, or a related field * 1+ years of experience in data analytics, business intelligence, data ... Prior internship or work experience is preferred * Strong intellectual curiosity paired with ...

Internship Opportunities

Orlando, FL ยท On-site +1

$14 - $18.75/hr

Interns: Build Your Future with Us Are you ready to make an impact? Even if you don't see the ... Data Scientists amp; Analysts: Those who turn data into actionable insights. * Software Developers:

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Data Science Fall Internship information

See Orlando, FL salary details

$11

$21

$39

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

As of Aug 27, 2026, the average hourly pay for data science fall internship in Orlando, FL is $21.01, according to ZipRecruiter salary data. Most workers in this role earn between $16.15 and $22.88 per hour, depending on experience, location, and employer.

What is a data science fall internship?

A Data Science Fall Internship is a temporary, structured work experience offered by organizations during the fall semester, designed for students or recent graduates interested in data science. Interns typically work on real-world projects involving data collection, analysis, machine learning, and visualization under the guidance of experienced data scientists. This internship provides hands-on experience, exposure to industry tools and techniques, and helps participants build valuable skills for future careers in data science. It also offers networking opportunities and a chance to explore potential career paths within the field.

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

As a Data Science Fall Intern, you can expect to work on projects involving data cleaning, exploratory data analysis, and the development of predictive models using real-world datasets. Interns often collaborate with full-time data scientists and cross-functional teams to solve business problems, such as improving user engagement, optimizing processes, or generating actionable insights from large data sets. You may also participate in regular team meetings, present findings, and contribute to ongoing research or tool development. This hands-on experience helps you build both technical and communication skills within a dynamic and supportive environment.

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

To thrive as a Data Science Fall Intern, you generally need a solid foundation in statistics, programming (often Python or R), and data analysis, typically supported by coursework or experience in computer science, mathematics, or related fields. Familiarity with tools like pandas, scikit-learn, SQL, and data visualization libraries, as well as version control systems like Git, is highly valued. Strong problem-solving abilities, attention to detail, and effective communication skills help interns interpret data insights and collaborate with team members. These competencies are essential for producing actionable analyses and contributing meaningfully to data-driven projects in a short-term, fast-paced internship environment.

What is the difference between Data Science Fall Internship vs Data Analyst Intern?

AspectData Science Fall InternshipData Analyst Intern
Required CredentialsEnrolled in or recent graduate of a related field (e.g., Data Science, Computer Science, Statistics)Enrolled in or recent graduate of a related field (e.g., Data Analysis, Business, Statistics)
Work EnvironmentTech companies, startups, research labs, often collaborative and project-basedBusiness firms, consulting agencies, often focused on reporting and data visualization
Employer & Industry UsageUsed by tech firms, finance, healthcare, and academia for entry-level talentCommon in corporate, marketing, and consulting sectors for supporting decision-making

The Data Science Fall Internship and Data Analyst Intern roles share similarities in required education and work environment but differ in focus. Data Science internships emphasize machine learning, programming, and statistical modeling, while Data Analyst internships focus more on data visualization, reporting, and business insights. Both are valuable entry points into data careers, often overlapping in skills but serving different industry needs.

What job categories do people searching Data Science Fall Internship jobs in Orlando, FL look for?

The top searched job categories for Data Science Fall Internship jobs in Orlando, FL are:

Infographic showing various Data Science Fall Internship job openings in Orlando, FL as of August 2026, with employment types broken down into 50% Internship, and 50% Part Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $43,697 per year, or $21 per hour.

Data Science Internship (Governance)

Lake Mary, FL โ€ข On-site

Internship

Re-posted 22 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.