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Data Science Analyst Intern Jobs in Florida (NOW HIRING)

Job Overview The Program Data Science Analyst will play a critical role in supporting program and project planning, execution, and monitoring activities across various initiatives. This role blends ...

Job Overview The Program Data Science Analyst will play a critical role in supporting program and project planning, execution, and monitoring activities across various initiatives. This role blends ...

Job Overview The Program Data Science Analyst will play a critical role in supporting program and project planning, execution, and monitoring activities across various initiatives. This role blends ...

Data Analytics Intern This is a paid internship offering $20/hour, with hands-on experience in ... Currently pursuing or recently completed a degree in Computer Science, Data Science, Information ...

GAI Consultants, Inc. is seeking a Project Analyst (Data and Research) Intern to support our Urban ... Current student pursuing a Bachelor's or Master's degree in Economics, Data Science, Urban Studies ...

GAI Consultants, Inc. is seeking a Project Analyst (Data and Research) Intern to support our Urban ... Current student pursuing a Bachelor's or Master's degree in Economics, Data Science, Urban Studies ...

As a data science intern, responsibilities may include the following: * Leverage tools to interpret ... Support exploratory data analysis to uncover trends, patterns, and insights. * Contribute to the ...

As a data science intern, responsibilities may include the following: * Leverage tools to interpret ... Support exploratory data analysis to uncover trends, patterns, and insights. * Contribute to the ...

As a data science intern, responsibilities may include the following: * Leverage tools to interpret ... Support exploratory data analysis to uncover trends, patterns, and insights. * Contribute to the ...

As a data science intern, responsibilities may include the following: * Leverage tools to interpret ... Support exploratory data analysis to uncover trends, patterns, and insights. * Contribute to the ...

As a data science intern, responsibilities may include the following: * Leverage tools to interpret ... Support exploratory data analysis to uncover trends, patterns, and insights. * Contribute to the ...

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Data Science Analyst Intern information

What does a Data Science Analyst Intern do?

A Data Science Analyst Intern assists with analyzing large datasets to uncover patterns, trends, and insights that support business decisions. They typically work alongside data scientists and analysts to clean, organize, and visualize data, as well as help build and test predictive models. Interns may also assist in preparing reports and presentations that communicate findings to stakeholders. This role provides hands-on experience with data analysis tools and techniques, and is a valuable stepping stone for a career in data science.

What are some typical projects or tasks that a Data Science Analyst Intern might work on during their internship?

As a Data Science Analyst Intern, you can expect to work on projects such as cleaning and analyzing large datasets, building and testing predictive models, and creating visualizations to communicate findings to stakeholders. Interns often collaborate closely with data scientists, engineers, and business analysts, gaining exposure to real-world data challenges and learning how to apply statistical and machine learning techniques. The role usually involves using tools like Python, R, and SQL, and you may also have opportunities to present your work to different teams, helping you develop both technical and communication skills.

What are the key skills and qualifications needed to thrive as a Data Science Analyst Intern, and why are they important?

To thrive as a Data Science Analyst Intern, you need a solid grasp of statistics, data analysis, and programming languages such as Python or R, typically supported by coursework or a degree in a quantitative field. Familiarity with data visualization tools like Tableau, SQL databases, and version control systems (e.g., Git) is often required. Problem-solving ability, attention to detail, and strong communication skills help interns effectively interpret data and share insights with team members. These skills are crucial for transforming raw data into actionable business insights and supporting data-driven decision-making.

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

AspectData Science Analyst InternData Analyst Intern
Required SkillsBasic programming, statistical analysis, data visualizationData manipulation, Excel, basic SQL
Work EnvironmentTech companies, startups, research labsBusiness, finance, marketing sectors
Typical Duration3-6 months internship3-6 months internship

The Data Science Analyst Intern role focuses on applying statistical and programming skills to analyze complex data sets, often involving machine learning and predictive modeling. In contrast, Data Analyst Interns primarily handle data cleaning, reporting, and visualization to support business decisions. Both roles are entry-level, require similar foundational skills, and are common in tech and business industries. Understanding these differences helps candidates target their applications effectively.

What cities in Florida are hiring for Data Science Analyst Intern jobs? Cities in Florida with the most Data Science Analyst Intern job openings:
Infographic showing various Data Science Analyst Intern job openings in Florida as of June 2026, with employment types broken down into 65% Full Time, 33% Part Time, 1% Temporary, and 1% Contract. Highlights an 82% Physical, 7% Hybrid, and 11% Remote job distribution.

Program Data Science Analyst

AEVEX

Tampa, FL

Other

Posted 28 days ago


Job description

Job Overview

The Program Data Science Analyst will play a critical role in supporting program and project planning, execution, and monitoring activities across various initiatives. This role blends deep data science expertise with program analysis, enabling the organization to extract insights from large-scale, heterogeneous data sources, automate analytical workflows, and support mission-critical decision-making. The ideal candidate is a hands-on technical expert who can independently develop models, pipelines, analytical tools, and dashboards that simplify understanding and aid decision making while also collaborating with and providing their own analysis and insights to cross-functional teams, senior leaders, and external partners to aid with program planning, execution, and ultimately delivery of project objectives.

Essential Functions

  • Develop scalable algorithms for large-scale data, applying data mining, clustering, statistical modeling, graph analytics, and visualization techniques to solve analytical problems with incomplete data sets.
  • Conduct exploratory data analysis, identify patterns, and generate actionable insights from structured, semi-structured, and unstructured data.
  • Develop visualizations and dashboards to communicate findings to technical and non-technical stakeholders.
  • Build tools and automation to streamline data ingestion, transformation, and analysis.
  • Design and optimize analytic pipelines, graph traversal queries, and data processing workflows to ensure reliable performance across all environments.
  • Develop scripts and pipelines to process large data streams and support real-time or near-real-time analytics.
  • Design, develop, test, and document data science microservices and analytical applications
  • Conduct data analysis to support project performance tracking and decision-making processes using key metrics and reporting tools
  • Collaborate with program managers to gather, validate and analyze data to ensure data accuracy and usability.
  • Prepare and maintain project documentation, including charters, plans, timelines, status reports, reporting dashboards, and deliverables.
  • Collaborate with program managers and team members to identify challenges and risks, provide analysis and management recommendations.
  • Develop and analyze key performance indicators (KPIs) to monitor project health and success.
  • Assist in budget tracking, cost analysis, and resource allocation planning to help ensure projects remain within financial parameters.
  • Maintain and update project management tools and systems
  • Generate detailed project reports, dashboards, and presentations for stakeholders.
  • Research best practices, recommend process improvements, and support the development of processes and tools to enhance project efficiency.
  • Facilitate and participate in post-project evaluations and recommend improvements for future initiatives.
  • Ensure that all project documentation is stored and organized according to PMO standards
  • Perform additional duties as required to support the success of project initiatives.

Standard Essential Functions

  • Regular and reliable attendance on a full time basis [or in accordance with posted schedule].
  • Responsible for exhibiting professional behavior with both internal and external business associates that reflects positively on the company and is consistent with the company's policies and practices.
  • Embodies AEVEX's cultural values and aligns daily actions with department goals and company culture.

Qualifications and Competencies

  • Proficient in Microsoft Excel (e.g., dynamic arrays, Power Query, PowerPivot) and project management tools (e.g., MS Project, Jira), as well as the Microsoft Office Suite (Word, Excel, PowerPoint)
  • Strong analytical and problem-solving skills with a focus on interpreting data and providing actionable insights.
  • Proficiency in Python; experience with C++, Java, or R is beneficial
  • Familiarity with AI/ML tools supporting logistics or operational use cases.
  • Ability to quickly learn new tools and technologies.
  • Effective verbal and written communication, alongside strong interpersonal and collaboration skills.
  • Detail-oriented with a commitment to accuracy, data integrity, and confidentiality
  • Ability to manage multiple tasks and priorities effectively in a fast-paced environment.
  • Self-starter with strong problem-solving skills; able to work independently with minimal oversight.
  • Collaborative team player with strong interpersonal skills.
  • Excellent organizational and time management skills in fast-paced environments.

Education / Certifications

  • Bachelor's degree in business administration, data analytics, or a related field.
  • Master's degree in quantitative discipline (Statistics, Data Science, Data Analytics, Computer Science, Engineering, etc.) preferred.
    • Additional applicable experience may be substituted for formal education.
  • Certifications in project management (e.g., PMP, CAPM) or data analysis (e.g., Tableau, Power BI) are a plus.

Experience

  • 5+ years of experience using data science, machine learning, or advanced analytics
  • 2+ or more years of experience in project analysis, data analysis, or project management (preferred).
  • Experience in data management, reporting, or process improvement roles is preferred. Experience with BI tools (Tableau, PowerBI, Qlik).
  • Experience with Continuous Integration/deployment (CI/CD) tools (Git, Jenkins, Docker).
  • Experience with graph analytics and graph traversal languages (Gremlin, Cypher, GraphML).
  • Experience communicating analytical findings through visualizations and presentations.
  • Experience with data orchestration tools (Airflow) and data engineering platforms (Databricks, ElasticSearch, Apache NiFi, StreamSets).
  • Experience working with structured, unstructured, or semi-structured data and conducting analysis
  • Strong experience with SQL and relational databases.

Physical Requirements

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

  • Frequently required to sit, and to reach to use computers and other office equipment

For the purpose of this summary, occasionally is used to represent up to 1/3 of the time given to the work day, frequently represents 1/3 to 2/3 of the time and constantly represents 2/3 or more of the time.

Security Clearance

  • Ability to obtain/maintain Secret DoD clearance minimum, U.S Citizenship required.
  • Eligibly to obtain/maintain Top Secret/SCI preferred.

Disclaimer:

AEVEX Aerospace is an Equal Opportunity employer. We are committed to providing equal employment opportunities to all employees and applicants without regard to race, religious creed, color, sex (including pregnancy, breast feeding and related medical conditions), gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship status, military and veteran status, marital status, age, protected medical condition, genetic information, physical disability, mental disability, or any other protected status in accordance with all applicable federal, state and local laws.