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Environmental Data Science Intern Jobs in Miami, FL

SOSi

Data Science Lead

Doral, FL · On-site

SOSi is seeking a Data Science Lead to support mission requirements for a structured approach to ... accelerated environments, high-performance object storage, and parallel data processing ...

SOSi

Data Science Lead

Doral, FL

SOSi is seeking a Data Science Lead to support mission requirements for a structured approach to ... accelerated environments, high-performance object storage, and parallel data processing ...

SOSi

Data Science Lead

Doral, FL · On-site

SOSi is seeking a Data Science Lead to support mission requirements for a structured approach to ... accelerated environments, high-performance object storage, and parallel data processing ...

Prescient Edge

Data Science Lead

Doral, FL · On-site

Job Title Data Science Lead Location Doral, FL 33122 US (Primary) Category Intelligence Job Type ... A positive work environment where employees are respected, supported, and engaged. Description:

Liberty Mutual

Director, Data Science

Miami, FL · On-site +1

Manage and develop a team of data science and advanced analytics staff, driving accurate risk ... We build an environment that welcomes a wide range of perspectives and experiences, with inclusion ...

University of Miami

Manager, Data Science

Miami, FL

CORE JOB SUMMARY The Manager, Data Science assists the director in managing the development and ... Ability to create and maintain a cohesive and productive team environment, build positive working ...

University of Miami

Manager, Data Science

Miami, FL · On-site

$110 - $140/hr

The Manager, Data Science assists the director in managing the development and deployment of ... Ability to create and maintain a cohesive and productive team environment, build positive working ...

The University of Miami

Manager, Data Science

Miami, FL · On-site

CORE JOB SUMMARY The Manager, Data Science assists the director in managing the development and ... Ability to create and maintain a cohesive and productive team environment, build positive working ...

Crowe LLP

Machine Learning Intern

Fort Lauderdale, FL · On-site

$27 - $42/hr

Role Summary The data science (DS) internship at Crowe follows the firmwide calendar, approximately ... To that end, there are three major components with which an intern should expect to engage.

Crowe LLP

Machine Learning Intern

Miami, FL · On-site

$27 - $42/hr

Role Summary The data science (DS) internship at Crowe follows the firmwide calendar, approximately ... To that end, there are three major components with which an intern should expect to engage.

Crowe LLP

Machine Learning Intern

Miami, FL · On-site

$27 - $42/hr

Role Summary The data science (DS) internship at Crowe follows the firmwide calendar, approximately ... To that end, there are three major components with which an intern should expect to engage.

Dlapiper

Data Scientist

Miami, FL · On-site +1

Prioritizes, scopes and manages data science projects for internal stakeholders and clients ... Work Environment The firm's work location requirements may be modified at the firm's discretion.

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Environmental Data Science Intern information

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How much do environmental data science intern jobs pay per hour?

As of Aug 26, 2026, the average hourly pay for environmental data science intern in Miami, FL is $21.52, according to ZipRecruiter salary data. Most workers in this role earn between $16.54 and $23.46 per hour, depending on experience, location, and employer.

What is an environmental data science intern?

An Environmental Data Science Intern is a student or recent graduate who assists in analyzing environmental data to address issues such as climate change, pollution, or resource management. They use statistical methods, programming, and data visualization tools to process and interpret large datasets from sources like sensors, satellites, or field surveys. The role often involves working with environmental scientists to support research and inform decision-making. Interns gain hands-on experience in applying data science techniques to real-world environmental challenges, which can help prepare them for future careers in environmental science and analytics.

What types of projects does an environmental data science intern typically work on, and how do they contribute to the overall team goals?

Environmental Data Science Interns often work on projects involving the collection, analysis, and visualization of environmental data, such as air or water quality, climate trends, or biodiversity metrics. Interns may assist in developing models to forecast environmental changes or create dashboards that help communicate findings to stakeholders. These tasks support the team's efforts in research, policy-making, or environmental management by providing actionable insights and ensuring data-driven decision-making. Collaboration with scientists, data engineers, and policy analysts is common, offering interns exposure to interdisciplinary teamwork.

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

To thrive as an Environmental Data Science Intern, you need a strong background in environmental science, statistics, and data analysis, typically supported by coursework or a degree in a related field. Familiarity with programming languages like Python or R, data visualization tools, and GIS software is often required. Attention to detail, problem-solving abilities, and effective communication skills help interns translate data into actionable insights and collaborate with multidisciplinary teams. These skills ensure that data-driven decisions can be made to address complex environmental challenges.

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

AspectEnvironmental Data Science InternEnvironmental Data Analyst
Required CredentialsTypically pursuing or recent graduate in environmental science, data science, or related fieldsBachelor's or master's in environmental science, data analysis, or related fields; some roles prefer certifications in data analysis
Work EnvironmentInternship setting, often in research labs, environmental agencies, or consulting firmsFull-time role in environmental agencies, consulting firms, or corporate sustainability teams
Employer & Industry UsageUsed by organizations offering internships to train future professionalsUsed by organizations analyzing environmental data for decision-making and reporting

The main difference is that an Environmental Data Science Intern is an entry-level position aimed at gaining experience, while an Environmental Data Analyst is a more experienced role focused on analyzing and interpreting environmental data to support organizational goals.

What are popular job titles related to Environmental Data Science Intern jobs in Miami, FL?

For Environmental Data Science Intern jobs in Miami, FL, the most frequently searched job titles are:

What job categories do people searching Environmental Data Science Intern jobs in Miami, FL look for?

The top searched job categories for Environmental Data Science Intern jobs in Miami, FL are:

What cities near Miami, FL are hiring for Environmental Data Science Intern jobs?

Cities near Miami, FL with the most Environmental Data Science Intern job openings:

Environmental Data Science Intern jobs near you
Infographic showing various Environmental Data Science Intern job openings in Miami, FL as of August 2026, with employment types broken down into 66% Full Time, 17% Part Time, and 17% Contract. Highlights an 100% In-person job distribution, with an average salary of $44,770 per year, or $21.5 per hour.

Data Science Lead

Doral, FL • On-site

SOSi
See more jobs at SOSiexternal

Full-time

Re-posted 10 days ago

Job description

Company Description
Founded in 1989, SOSi is among the largest private, founder-owned technology and services integrators in the defense and government services industry. We deliver tailored solutions, tested leadership, and trusted results to enable national security missions worldwide.
Job Description
SOSi is seeking a Data Science Lead to support mission requirements for a structured approach to further develop, integrate, and sustain a scalable, federated data ecosystem that enhances interoperability, governance, and mission-driven analytics for a DoD customer. The primary objective of the program is to bridge the operational gaps between DoD, IC, interagency, and non-traditional international partners to enable real-time information sharing, dynamic data integration, and mission-tailored analytical capabilities.
Essential Job Duties:
  • The contractor shall oversee the development, deployment, and evaluation of predictive and prescriptive analytics to ensure alignment with mission objectives and operational needs.
  • The contractor shall establish a structured framework to distinguish data science and data engineering tasks, ensuring the effective allocation of resources and seamless collaboration between teams.
  • The contractor shall submit the Predictive Analytics Strategy & Implementation Report, detailing model development progress, algorithm validation, and mission integration.
  • The contractor shall coordinate to access compute and storage resources required to support large-scale model training and analytics workloads, including GPU-accelerated environments, high-performance object storage, and parallel data processing capabilities.
  • The contractor shall fund usage-based compute and storage costs through inter-task chargeback arrangements, as approved by the Government PM.

Qualifications
  • Active TS/SCI Clearance.
  • Master's degree in Data Science, Artificial Intelligence, Computer Science, or a related field, or;
    • Eleven (11) years of equivalent experience in leading AI/ML-driven analytics programs.
  • Personnel must have demonstrated experience in developing, deploying, and managing enterprise-level predictive analytics solutions, ensuring governance compliance, and implementing AI/ML models at scale.
  • Experience in mission-focused analytics, data-driven decision support, and integration of statistical and machine learning techniques is required.
  • Personnel must have experience overseeing sprint-based Agile development cycles and working within cloud-based data science environments such as AWS, Azure, or Databricks.
  • Possess the knowledge and capability to lead the development of predictive and prescriptive analytics, ensuring alignment with mission objectives and the integration of AI/ML-driven insights.
  • Proficient in advanced machine learning techniques, statistical modeling, and data science methodologies, with expertise in feature engineering, model validation, and data provenance tracking.
  • Experience implementing Agile methodologies, managing analytic sprints, and overseeing collaboration between data science and data engineering teams.
  • Strong leadership, strategic planning, and stakeholder engagement skills are required to drive mission-focused analytic innovation.

Preferred Qualifications:
  • Desirable but not required certifications include AWS Certified Machine Learning - Specialty, Microsoft Certified: Azure AI Engineer Associate, or Certified Analytics Professional (CAP).

Additional Information
Work Environment
  • Normal office conditions

Working at SOSi
All interested individuals will receive consideration and will not be discriminated against for any reason.

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