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Environmental Data Science Intern Jobs in Alabama

Develop and deploy data science solutions leveraging Python or similar languages. * Utilize Linux ... Additional Information Work Environment * Office setting with a combination of desk work and ...

Develop and deploy data science solutions leveraging Python or similar languages. * Utilize Linux ... Additional Information Work Environment * Office setting with a combination of desk work and ...

Develop and deploy data science solutions leveraging Python or similar languages. * Utilize Linux ... Additional Information Work Environment * Office setting with a combination of desk work and ...

... team environment and communicate technical concepts to technical and non-technical stakeholders. Preferred Qualifications: * Master's degree in Computer Science, Data Science, Engineering ...

New

$14.75 - $19.75/hr

We are committed to creating an environment where every team member feels included, respected ... Pursuing a bachelor's degree in Computer Science, Information Systems, Health Informatics, Data ...

Showing results 41-60

Environmental Data Science Intern information

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 Alabama?

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

What job categories do people searching Environmental Data Science Intern jobs in Alabama look for?

The top searched job categories for Environmental Data Science Intern jobs in Alabama are:

What cities in Alabama are hiring for Environmental Data Science Intern jobs?

Cities in Alabama with the most Environmental Data Science Intern job openings:

Infographic showing various Environmental Data Science Intern job openings in Alabama as of August 2026, with employment types broken down into 13% Internship, 66% Full Time, 13% Part Time, 4% Temporary, and 4% Contract. Highlights an 88% In-person, 4% Hybrid, and 8% Remote job distribution.

Palantir AI and Data Science Engineer

Deloitte

Huntsville, AL • On-site

$112K - $135K/yr

Full-time

Re-posted 26 days ago


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

45th of 151 rated financial services


Job description

Join Deloitte's AI & Engineering team to help clients modernize technology platforms, accelerate innovation, and drive meaningful business outcomes. In this role, you will work alongside multidisciplinary professionals to design and deliver modern data solutions that support enterprise transformation. You will help build scalable platforms, analytics products, and data pipelines that enable mission-focused results and measurable client impact.
Work you'll do
As an AI and Data Science Engineer on the AI & Data team, you will be responsible for...
  • Design and engineer secure, automated data pipelines from authoritative source systems into a centralized analytics environment using Palantir Foundry and cloud-based technologies.
  • Build and deploy scalable data engineering solutions that enable digital transformation goals and support mission-critical decision-making.
  • Develop prototype MVP dashboards, analytics views, and workflow applications tailored to high-priority functional domains and operational needs.
  • Integrate, transform, and operationalize enterprise data to deliver analytics products that improve reporting, visibility, and user adoption across the organization.
  • Collaborate with cross-functional stakeholders to gather requirements, lead technical workshops, resolve issues, and demonstrate solutions through client-facing presentations and demos.
  • Apply data modeling, ETL, DevOps, and statistical programming practices to improve data quality, platform performance, automation, and operational efficiency.
  • Support the implementation of AI-enabled workflow applications and agentic solutions to enhance automation and decision support.
  • Contribute to solution design and delivery in secure environments, ensuring alignment with clearance requirements and enterprise data governance standards.
A successful candidate would possess these skills:
  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others
The team
Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.
Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.
Qualifications
Required:
  • Bachelor's degree
  • 1+ years of experience in data science, data manipulation, or data analysis
  • 1+ years of experience working with Palantir Foundry
  • Active Secret security clearance required
  • Ability to travel 5-25%, on average, based on the work you do and the clients and industries/sectors you serve
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
Preferred:
  • 2+ years of experience with pipeline and application development within Palantir Foundry
  • 3+ years of experience in professional services or federal consulting
  • Experience translating technical concepts for nontechnical audiences
  • Experience evaluating and applying new technologies, products, or libraries
  • Experience producing written communications for technical and nontechnical stakeholders
  • Experience organizing and managing multiple deliverables
#LI-MW5
Deloitte is committed to providing reasonable accommodations for people with disabilities. If you require a reasonable accommodation to participate in the recruiting process, please direct your inquiries to the Global Call Center (GCC) at USTalentCICInbox@deloitte.com.
Recruiting tips
From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters.
Benefits
At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you.
Our people and culture
Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ways of thinking, ideas, and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work.
Our purpose
Deloitte's purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Learn more.
Professional development
From entry-level employees to senior leaders, we believe there's always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career.
As used in this posting, "Deloitte" means Deloitte Consulting LLP, a subsidiary of Deloitte LLP. Please see https://www.deloitte.com/us/about for a detailed description of the legal structure of Deloitte LLP and its subsidiaries.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.
Requisition code: 357597
Job ID 357597

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