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Internship Data Science Economics Jobs in Florida

Degree in Statistics, Computer Science, Economics, Analytics, Data Science (e.g., Informatics, Data Science, Health Data Science), AI, or related field preferred. * Masters in a Data Science ...

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 · 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 ...

Match is a B2B2C technology company on a mission to revolutionize the apparel industry through data science to deliver increased relevance and satisfaction for shoppers, improve retail economics, and ...

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Internship Data Science Economics information

What is an internship in data science economics?

An Internship in Data Science Economics is a temporary position that allows students or recent graduates to gain practical experience applying data science techniques to economic problems. Interns typically work on projects involving data analysis, statistical modeling, and economic research, often using programming languages like Python or R. The role helps bridge the gap between academic knowledge and real-world applications, providing valuable skills for a future career in data science or economics.

What types of projects do interns typically work on in a data science economics internship?

Interns in Data Science Economics roles often work on projects involving data analysis, economic modeling, and statistical research to support business decision-making. These projects may include analyzing large datasets to identify economic trends, building predictive models, and creating visualizations to communicate insights. Interns usually collaborate closely with both data scientists and economists, gaining exposure to real-world applications of economic theories and data-driven problem-solving. This hands-on experience helps interns develop technical and analytical skills while contributing meaningful work to the team.

What are the key skills and qualifications needed to thrive as an internship data science economics, and why are they important?

To thrive as an Internship Data Science Economics, you need a solid background in statistics, econometrics, and programming languages like Python or R, typically supported by progress toward a degree in economics, data science, or a related field. Familiarity with data analysis tools such as SQL, statistical software, and visualization platforms like Tableau is often required. Strong analytical thinking, effective communication, and the ability to collaborate in team environments help interns excel in this role. These skills are crucial for interpreting economic data, delivering actionable insights, and supporting informed decision-making within organizations.

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

AspectInternship Data Science EconomicsData Analyst Intern
Required SkillsStatistics, economics, programming (Python/R), data analysisData analysis, Excel, SQL, visualization tools
Work EnvironmentResearch-focused, economic modeling, data interpretationBusiness insights, reporting, dashboard creation
Industry UsageFinance, consulting, government, research institutionsMarketing, finance, tech companies

Internship Data Science Economics typically involves economic modeling, statistical analysis, and programming skills, often in research or policy environments. Data Analyst Internships focus on interpreting data to generate business insights, using tools like Excel and SQL. Both roles require analytical skills but differ in focus and industry applications.

What are popular job titles related to Internship Data Science Economics jobs in Florida?

For Internship Data Science Economics jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Internship Data Science Economics jobs in Florida look for?

The top searched job categories for Internship Data Science Economics jobs in Florida are:

What cities in Florida are hiring for Internship Data Science Economics jobs?

Cities in Florida with the most Internship Data Science Economics job openings:

Infographic showing various Internship Data Science Economics job openings in Florida as of June 2026, with employment types broken down into 1% As Needed, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution.

Data Scientist

West Palm Beach, FL • On-site


Storage Rentals of America
Real Estate • 201 - 500 employees

6.8

Company rating: 6.8 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

7th of 29 rated removal and storage companies

People enjoy working here

Respectful managers


Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago


Job description

Become the newest member of our exciting team at SROA Capital as we redefine self-storage!
At SROA, we offer a career and opportunity to grow. We strongly believe in growing our talent and promoting within. We are proud to be honored as one of the TOP WORKPLACES of South Florida by the Sun Sentinel three years in a row.
SROA Capital is a vertically integrated private equity real estate investment firm that has evolved into a global asset manager with a successful track record of providing risk adjusted returns to its partners through its focused strategy of investing in self-storage. SROA is headquartered in West Palm Beach, FL and has invested, redeveloped, and developed self storage across the risk spectrum in major and secondary markets across the United States under the brand Storage Rentals of America and the UK under the brand Kangaroo Self Storage with approximately 900 employees globally
The Data Scientist will apply statistical analysis, predictive modeling, machine learning, and AI-enabled analytics to trusted company data. This role will help transform data into insights, predictions, recommendations, and reusable analytics products while developing a strong understanding of SROA business operations and data assets.
This role will support use cases across revenue management, customer behavior, operations, marketing, investment analysis, and customer experience and will work with Data Intelligence leadership, analytics engineering, business intelligence, data engineering and business stakeholders. The position is designed for an early-career professional who has a strong foundation in statistics, programming, and analytical problem-solving and is eager to grow through hands-on work with real business problems.
Duties and Responsibilities
  • Assist in developing, testing, and maintaining predictive models, statistical analyses, and machine learning solutions for business use cases
  • Explore and analyze structured data to identify trends, relationships, anomalies, and opportunities that can improve business performance
  • Partner with business stakeholders and Data Intelligence team members to understand business questions, define analytical approaches, and translate findings into actionable insights
  • Prepare, clean, validate, and transform data for analysis in collaboration with analytics engineering and data engineering resources
  • Build reproducible analytical workflows using SQL, Python, or similar tools and document assumptions, methods, model inputs, and results
  • Evaluate model performance using appropriate statistical and machine learning techniques and communicate limitations, risks, and expected business impact
  • Support experimentation, forecasting, segmentation, optimization, and other advanced analytics initiatives as assigned
  • Create clear visualizations, summaries, and presentations that explain analytical findings to technical and non-technical audiences
  • Contribute analytical outputs and model results to dashboards, reports, and other data products in partnership with business intelligence resources
  • Follow Data Intelligence standards for metric consistency, data quality, governance, documentation, version control, and analytical reproducibility
  • Research emerging data science, machine learning, and AI techniques and help evaluate practical applications within SROA
  • Contribute to a collaborative Data Intelligence operating model focused on trusted data, reusable assets, consistent analytics, and measurable business value
  • Other projects as assigned

Required:
  • Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Engineering, or a related quantitative field, or equivalent practical experience
  • 0-2 years of professional, internship, academic, or project experience applying data science, statistical analysis, machine learning, or advanced analytics techniques
  • Working knowledge of Python and common data analysis libraries such as pandas, NumPy, scikit-learn, or similar tools
  • Working knowledge of SQL and the ability to query, join, aggregate, and validate data from relational data sources
  • Foundational understanding of statistics, probability, regression, classification, model evaluation, and experimental or analytical design
  • Ability to clean, explore, analyze, and visualize data and explain findings in a clear, business-oriented manner
  • Strong analytical reasoning, problem-solving, attention to detail, and intellectual curiosity
  • Ability to learn business processes and translate business questions into structured analytical problems
  • Strong written and verbal communication skills and the ability to work effectively with both technical and non-technical team members
  • Ability to manage multiple assignments, document work clearly, and operate effectively in a fast-paced and evolving environment

Preferred:
  • Internship, academic, or project experience with predictive modeling, forecasting, customer analytics, optimization, segmentation, or recommendation techniques
  • Exposure to cloud data platforms, modern data warehouses, notebooks, Git, or other collaborative analytics development tools
  • Exposure to Microsoft Power BI or other business intelligence and data visualization platforms
  • Familiarity with generative AI, large language models, or AI-enabled analytical workflows
  • Experience working with real estate, self-storage, retail, revenue management, marketing, operations, or other multi-site business data

SROA Offers:
  • Competitive pay with bonus potential
  • UKG Wallet - on-demand pay option
  • 100% paid medical coverage options for employee-only
  • Dental and vision plans for optimal care
  • Eight (8) paid holidays
  • Generous Paid Time Off (PTO), increasing with years of service
  • Paid Maternity and Parental Leave for growing families
  • 401(k) with substantial employer match and 100% immediate vesting
  • Flexible Spending Accounts (FSA), Health Savings Accounts (HSA), and Dependent Care Flexible Spending Accounts (DCFSA) for tax-advantaged savings
  • GAP Insurance for added financial protection
  • Employer-paid Life Insurance and Short-Term Disability coverage
  • Long-Term Disability (LTD) coverage for added peace of mind
  • Pet insurance - because your pets are family too
  • Storage Discounts to help you declutter and organize
  • Access to Voluntary Benefits for personalized coverage
  • Learning and development opportunities to maximize your potential and excel in your career
  • A great culture that values collaboration, innovation, and inclusivity

SROA is an Equal Opportunity employer and uses the federal government E-Verify system to verify employment eligibility.
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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