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Environmental Data Science Intern Jobs in Alabama

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Large scale machine learning experience working with terabytes of data * Implemented custom ...

New

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Large scale machine learning experience working with terabytes of data * Implemented custom ...

New

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Large scale machine learning experience working with terabytes of data * Implemented custom ...

New

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Large scale machine learning experience working with terabytes of data * Implemented custom ...

New

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Large scale machine learning experience working with terabytes of data * Implemented custom ...

New

$49K/yr

As a Palace Acquire Intern you will experience both personal and professional growth while dealing ... Mathematics, statistics, computer science, data science or field directly related to the position.

Use data science tools to improve data reliability, efficiency, and quality. * Responsible for ... Enjoy a fast-paced work environment. * Love working with diverse groups of individuals, including ...

Use data science tools to improve data reliability, efficiency, and quality. Responsible for ... Enjoy a fast-paced work environment. Love working with diverse groups of individuals, including ...

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Environmental Data Science Intern information

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 types of projects do Environmental Data Science Interns 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 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 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 July 2026, with employment types broken down into 1% As Needed, 75% Full Time, 18% Part Time, and 6% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Applied Meteorology Data Scientist

Applied Meteorology Data Scientist

Southern Company

Birmingham, AL • On-site

Full-time

Medical, Retirement

Posted 10 days ago


Southern Company rating

8.4

Company rating: 8.4 out of 10

Based on 23 frontline employees who took The Breakroom Quiz


Job description


WORK LOCATION
This position will be located at the Energy Center in Birmingham, AL. Candidates living outside of the Birmingham area may be considered with the expectation that they are able to successfully telework and are willing to travel to Birmingham four days per week.
JOB SUMMARY
Structuring and Analysis supports Commercial Operations and operating companies by providing solutions to complex, and often weather-driven business challenges through advanced analytics and data science.
This position is responsible for collecting, organizing, mining, and analyzing complex datasets-including meteorological, atmospheric, and environmental data-to generate actionable insights that enable informed decision-making and operational effectiveness. Specifically, this role leads and coordinates meteorology-focused data science initiatives supporting Commercial Operations through weather- and climate-informed risk analysis, predictive modeling, and decision-support tool development.
The position requires a strong working knowledge of applied meteorology, atmospheric science, mathematical and statistical methods, and modern data science practices. Success in this role also depends on the ability to manage multiple analytic initiatives, translate technical results into clear business insights, and partner effectively with stakeholders across Commercial Operations, Planning, and operating companies.
JOB RESPONSIBILITIES
  • Lead and coordinate the development of meteorological and weather-driven analytics initiatives, including internal tools, modeling approaches, and decision-support methodologies.
  • Partner with data scientists and meteorologists to design experiments and analyses that test assumptions related to weather, climate variability, and operational risk.
  • Oversee development and application of predictive and prescriptive models incorporating numerical weather prediction outputs, historical weather data, and climate signals to support commercial and operational decisions.
  • Translate complex meteorological and analytic outputs into clear, actionable insights for non-technical stakeholders.
  • Collaborate with end users to identify business needs, gaps, and opportunities for improved weather- and climate-informed analytics solutions.
  • Provide leadership by coordinating cross-functional teams, mentoring analysts, and promoting best practices in data science and applied meteorology.
  • Stay current on emerging trends in meteorological modeling, climate risk analytics, machine learning, and data science technologies relevant to the electric utility industry.
  • Ensure analytics solutions are well-documented, maintainable, and aligned with business objectives and delivery timelines.

All major job responsibilities require strong quantitative, statistical, and analytical skills, combined with effective communication and project leadership capabilities.
JOB QUALIFICATIONS
Education:
  • A degree in atmospheric science, meteorology, or a closely related meteorological analytical field is required.
  • Additional degrees in quantitative finance, economics, mathematics, statistics, computer science, engineering, or similar analytical disciplines are a plus.
  • An advanced degree in any of these fields is preferred.

Experience / Skills:
  • Advanced statistical analysis skills, including multivariable analysis, optimization, and predictive modeling.
  • Strong working knowledge of applied meteorology and experience evaluating and using numerical weather prediction models (e.g., GFS, NAM, HRRR, ECMWF).
  • Strong programming and technical competency in large-scale data analysis using Python, R, and SQL; experience with cloud-based analytics platforms such as Databricks is preferred.
  • Experience designing, developing, testing, and documenting complex systems, including predictive models, machine learning algorithms, and decision-support tools.
  • Demonstrated ability to work with large datasets and databases; familiarity with big data and data management technologies is a plus.
  • Ability to solve ambiguous or open-ended problems by creating structure and delivering actionable insights.
  • Strong consulting and project leadership skills with the ability to influence and collaborate across functions.
  • Ability to build productive relationships and work in a fast-paced, competitive environment while handling multiple assignments and conflicting priorities
  • Ability to manage multiple priorities in a fast-paced environment with consistent, on-time delivery.
  • Continuous learner with an interest in emerging analytics, AI-assisted workflows, and evolving applied meteorology practices.
  • Experience in the electric utility industry, particularly weather-driven impacts to power generation or commercial optimization, is a plus.

TRAVEL REQUIREMENTS
This position requires very little travel.
About Us
About Southern Company
Southern Company (NYSE: SO) is a leading energy provider serving 9 million customers across the Southeast and beyond through its family of companies. Providing clean, safe, reliable and affordable energy with excellent service is our mission. The company has electric operating companies in three states, natural gas distribution companies in four states, a competitive generation company, a leading distributed energy solutions provider with national capabilities, a fiber optics network and telecommunications services. Through an industry-leading commitment to innovation, resilience and sustainability, we are taking action to meet customers' and communities' needs while advancing our goal of net-zero greenhouse gas emissions by 2050. Our uncompromising values ensure we put the needs of those we serve at the center of everything we do and are the key to our sustained success. We are transforming energy into economic, environmental and social progress for tomorrow. Our corporate culture has been recognized by a variety of organizations, earning the company awards and recognitions that reflect Our Values and dedication to service. To learn more, visit www.southerncompany.com.
Southern Company invests in the well-being of its employees and their families through a comprehensive total rewards strategy that includes competitive base salary, annual incentive awards for eligible employees and health, welfare and retirement benefits designed to support physical, financial, and emotional/social well-being. This position may also be eligible for additional compensation, such as an incentive program, with the amount of any bonus/awards subject to the terms and conditions of the applicable incentive plan(s). A summary of the benefits offered for this position can be found here https://seo.nlx.org/southernco/pdf/SOCO-Benefits.pdf. Additional and specific details about total compensation and benefits will also be provided during the hiring process.
Southern Company is an equal opportunity employer where an applicant's qualifications are considered without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, sexual orientation, gender identity or expression, or any other basis prohibited by law.
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