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Data Science Intern Jobs in Homestead, FL (NOW HIRING)

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Data Scientist

Miami, FL · Hybrid

$10K - $250K/mo

Work closely with data scientists and analysts to create and deploy new product features * Establish scalable, efficient, automated processes for data analyses, model development, validation and ...

Lynker Corporation

Scientific Data Manager

Miami, FL · On-site

This proposed role will support marine mammal and sea turtle science through data collection, data management, survey coordination, quality control, documentation, reporting, and dissemination of ...

Pwc

Payer Healthcare Data Scientist, Manager

Miami, FL

$99K - $232K/yr

The Opportunity As part of the Operations Consulting team, you will apply advanced data science and machine learning techniques to large-scale claims, clinical, and member data to surface actionable ...

exp

Building Performance Intern

Coral Gables, FL · On-site

$14.25 - $19.25/hr

Collect and organize field data, photos, and building information. * Assist with evaluating ... Pursuing a degree in Engineering, Building Science, Sustainability, Architecture, Construction ...

EXP

Building Performance Intern

Coral Gables, FL · On-site

$14.25 - $19.25/hr

Collect and organize field data, photos, and building information. * Assist with evaluating ... Pursuing a degree in Engineering, Building Science, Sustainability, Architecture, Construction ...

Intertek

Summer 2026 Environmental Intern

Miami, FL · On-site

$16.25 - $20.50/hr

Additional responsibilities may include supporting field data collection, ecological sampling and ... Currently pursuing a degree in Environmental Science / Biology / Other Science-Related Degrees

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How much do data science intern jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for data science intern in Homestead, FL is $20.67, according to ZipRecruiter salary data. Most workers in this role earn between $15.91 and $22.55 per hour, depending on experience, location, and employer.

What types of projects can I expect to work on as a data science intern, and how will I collaborate with other team members?

As a Data Science Intern, you can expect to work on a variety of projects such as data cleaning, exploratory data analysis, building predictive models, or assisting with data visualization tasks. You'll often collaborate closely with data scientists, engineers, and sometimes business analysts, participating in team meetings and brainstorming sessions. Interns are usually given clearly defined tasks that contribute to larger projects, allowing you to learn from experienced professionals while making a meaningful impact. Regular check-ins and mentorship are typical, providing you with feedback and professional growth opportunities throughout your internship.

What does a data science intern do?

A Data Science Intern typically assists with collecting, cleaning, and analyzing data to support business decisions or research. They work under the supervision of experienced data scientists, helping to build and test predictive models, create data visualizations, and present findings. Interns often use programming languages such as Python or R, and tools like SQL, to manipulate data. The role is designed to provide hands-on experience with real-world data science projects and help interns develop technical and analytical skills.

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

To thrive as a Data Science Intern, you need a solid grasp of statistics, data analysis, and programming (often in Python or R), typically supported by coursework in computer science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau), machine learning libraries (such as scikit-learn or TensorFlow), and version control systems (like Git) is commonly expected. Strong problem-solving abilities, communication skills, and a willingness to learn help interns collaborate effectively and translate data insights for diverse audiences. These skills and qualities ensure that interns can contribute meaningfully to projects, adapt quickly, and bridge the gap between raw data and actionable business solutions.
What are the most commonly searched types of Data Science jobs in Homestead, FL? The most popular types of Data Science jobs in Homestead, FL are:
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Data Science Intern jobs near you
Infographic showing various Data Science Intern job openings in Homestead, FL as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $43,003 per year, or $20.7 per hour.

Data Scientist, Revenue Management Systems

Norwegian Cruise Line Holdings Ltd

Miami, FL • On-site

Full-time

Re-posted 2 days ago

Job description

GROW YOUR CAREER WITH US
At Norwegian Cruise Line Holdings (NCLH), we know our future success depends on our ability to attract and retain the very best talent. Our brands deliver vacations of a lifetime with innovative product offerings, a high level of service and unique guest experiences aboard each vessel and we're continually seeking applicants who are passionate about hospitality and committed to being their personal best. As you learn more about our company, we think you will agree that there is no better time than now to become a member of the NCLH family!
APPLY ONLINE
If you're interested to be considered for this position, please click the blue APPLY button at the top of the page to get started. All candidates must complete an on-line application to be considered.
JOB SUMMARY
The Data Scientist within Revenue Management Systems will be responsible for building, scaling, and validating the predictive models, forecasting logic, and advanced analytics frameworks that power Norwegian Cruise Line's dynamic pricing and inventory management decisions. This individual contributor role bridges statistical engineering with commercial operations-translating massive datasets, historical transaction curves, and high-intent guest behavioral data into clear, high-yield revenue recommendations.
Working closely with senior leadership, data engineers, and revenue managers, the Data Scientist will write production-grade SQL and Python code to design scalable forecasting algorithms and price elasticity frameworks. The ideal candidate thrives on extracting value from complex database environments (e.g., Snowflake) and converting technical model performance into clear business insights.
POSITION RESPONSIBILITIES
  • Predictive Model Construction: Design, write, and maintain scalable algorithms and machine learning models for booking curves, price elasticity, cancellation rates, and passenger cabin upgrades (e.g., Plusgrade).
  • Data Pipeline & ETL Engineering: Query, clean, aggregate, and manipulate large-scale datasets from disparate corporate ecosystems using Snowflake, SQL, and Python to ensure reliable inputs for quantitative modeling.
  • RMS Calibration & Evaluation: Monitor, fine-tune, and analyze baseline calibration thresholds within enterprise Revenue Management Systems (RMS) to reduce forecast variances and automate routine algorithmic workflows.
  • A/B Testing & Attribution: Formulate rigorous tracking and measurement frameworks, using statistical methodologies and panel data techniques to validate the exact revenue impacts of tactical promotions and digital pricing optimizations.
  • Business Intelligence Support: Architect, deploy, and maintain insightful data visualization dashboards in Power BI or Tableau to translate modeling results and performance metrics into clear stories for commercial stakeholders.
  • Cross-Functional Collaboration: Partner closely with IT and data engineering teams to operationalize prototypes into robust production systems, while communicating quantitative logic clearly to non-technical business partners.

QUALIFICATIONS
DEGREE TYPE:
Bachelor's Degree
FIELD(S) OF STUDY:
Business Administration, Hospitality Management, Finance, Marketing, or a related field
EXPERIENCE
  • Bachelor's degree in Data Science, Statistics, Mathematics, Operations Research, Economics, Computer Science, or a heavily quantitative discipline is required.
  • Master's degree (MS) in a quantitative field is a plus but not required with equivalent professional experience.
  • 3-5 years of progressive professional experience working as a data scientist, quantitative analyst, or modeler-ideally building systems that influence business pricing, sales, or financial forecasting.
  • Hands-on experience manipulating, structuring, and scrubbing large, raw datasets within enterprise cloud-based or local architectures.
  • Prior experience working in dynamic commercial fields with highly perishable inventory (e.g., cruise lines, aviation, hospitality, logistics, or consumer tech) is highly preferred.
  • Experience in a role that required presenting complex outputs in clear and concise way that influenced leadership.

COMPETENCIES & SKILLS
  • Advanced Querying & Coding: Strong mastery of programming languages required for statistical computing, data architecture, and ETL execution, specifically Python and advanced SQL.
  • Cloud Environments: Hands-on familiarity extracting and joining complex relational data within cloud data platforms like Snowflake, Databricks, or cloud equivalents.
  • Data Visualization: Demonstrated capability building, hosting, and automating reports or data visualization dashboards in Power BI or Tableau.
  • Statistical & ML Frameworks: Knowledge of regression analysis, time-series forecasting ARIMA/Prophet, optimization algorithms, and common machine learning packages (scikit-learn, XGBoost, etc.).
  • Analytical Curiosity: A natural drive to unearth trends in chaotic, complex transaction data and translate those findings into logical business mechanics.
  • Execution & Delivery: Strong time management skills with a proven capacity to take an abstract business request and run with it from exploratory data analysis to model testing and dashboard delivery.
  • Collaborative Communicator: Ability to speak comfortably with both database administrators and non-technical business leaders, ensuring complex modeling results are easily understood.

ABOUT NCLH
Norwegian Cruise Line Holdings Ltd. (NYSE: NCLH) is a leading global cruise company which operates the Norwegian Cruise Line®, Oceania Cruises® and Regent Seven Seas Cruises® brands. The combined brands currently operate 32 ships, employ over 35,000 shipboard crew from more than 110 different countries and visit approximately 700 different port destination each year.
LEARN MORE ABOUT OUR COMPANY:
At a Glance
Brand Overview
Norwegian Cruise Line
Oceania Cruises
Regent Seven Seas Cruises
New Releases
EQUAL OPPORTUNITY EMPLOYER
It is Norwegian Cruise Line Holding's policy not to discriminate against any employee or applicant for employment because of race, color, religion, sex, national origin, age, disability, and marital or veteran status.
The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All personnel may be required to perform duties outside of their normal responsibilities from time to time, as needed.

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