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Internship Climate Data Scientist Jobs (NOW HIRING)

You move fluidly between data science, prototyping, and product thinking, and you're just as ... Working among a diverse, expert team at the forefront of climate tech, behavioral change, and ...

DATA SCIENTIST

San Diego, CA · On-site

$120K - $150K/yr

... climate/environmental informatics. Work will involve developing machine learning models that ... Work with the TRABUS Data Science team to deliver scalable AI solutions involving LLMs, RAG, prompt ...

DATA SCIENTIST

San Diego, CA · On-site

$120K - $150K/yr

... climate/environmental informatics. Work will involve developing machine learning models that ... Work with the TRABUS Data Science team to deliver scalable AI solutions involving LLMs, RAG, prompt ...

... for data science interns in the areas of natural language processing, natural language generation, and deep learning. Recognized by Gartner, INC, Harvard Business Review, etc, we are passionate ...

$113 - $188/hr

... climate science, policy, data, and business implications into practical strategies and ... Note that internships, co‑ops, graduate research conducted as part of a degree program, and ...

Lead/mentor other Data Scientists, interns, and other technical work teams * Make strategic recommendations on data collection, integration, and retention requirements, incorporating business ...

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Internship Climate Data Scientist information

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$46K

$165K

$243.5K

How much do internship climate data scientist jobs pay per year?

As of Sep 5, 2026, the average yearly pay for internship climate data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What does an internship climate data scientist do?

An Internship Climate Data Scientist assists in analyzing and interpreting climate-related data to help understand environmental trends and support climate research. They work with large datasets, use statistical and machine learning methods, and help visualize data findings for reports and presentations. Interns often collaborate with experienced scientists and contribute to projects focused on topics such as climate change, weather patterns, or environmental impacts. This role provides hands-on experience in data analysis, coding, and scientific communication within the context of climate science.

What types of projects and data sets might I work with as an internship climate data scientist?

As an Internship Climate Data Scientist, you can expect to work on projects involving the analysis of large climate-related data sets, such as temperature records, greenhouse gas measurements, or weather model outputs. Your daily tasks may include cleaning and preprocessing raw data, running statistical analyses, and visualizing trends to support ongoing research or policy development. You will likely collaborate with senior scientists, data engineers, and policy analysts, gaining exposure to both technical and applied aspects of climate science. This hands-on experience provides a strong foundation for future roles in climate research, environmental consulting, or academia.

What are the key skills and qualifications needed to thrive as an internship climate data scientist, and why are they important?

To thrive as an Internship Climate Data Scientist, you need a solid background in environmental science, statistics, and data analysis, often supported by coursework or a degree in a related field. Familiarity with programming languages like Python or R, experience with data visualization tools, and knowledge of climate modeling software are typically required. Strong analytical thinking, attention to detail, and effective communication skills help you interpret complex data and share insights with multidisciplinary teams. These skills are crucial for accurately analyzing climate trends and contributing valuable data-driven solutions to sustainability challenges.

What is the difference between Internship Climate Data Scientist vs Climate Data Analyst?

AspectInternship Climate Data ScientistClimate Data Analyst
Required CredentialsCurrently pursuing or recent graduate in environmental science, data science, or related fieldsBachelor's or master's in environmental science, statistics, or related fields
Work EnvironmentInternship programs in research institutions, NGOs, or corporate sustainability teamsFull-time roles in research, government agencies, or private sector companies
Employer & Industry UsageEntry-level, focused on learning and supporting projectsAnalyzing climate data to inform decisions, policy, or research

The main difference is that an Internship Climate Data Scientist is an entry-level position aimed at gaining experience, while a Climate Data Analyst is a more established role focused on analyzing climate data to support decision-making. Internships are temporary and educational, whereas analysts typically hold full-time positions with ongoing responsibilities.

More about Internship Climate Data Scientist jobs

What cities are hiring for Internship Climate Data Scientist jobs?

Cities with the most Internship Climate Data Scientist job openings:

What are the most commonly searched types of Climate Data Scientist jobs?

The most popular types of Climate Data Scientist jobs are:

What states have the most Internship Climate Data Scientist jobs?

States with the most job openings for Internship Climate Data Scientist jobs include:

Infographic showing various Internship Climate Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Slalom Flex - Climate Scientist

Slalom Build

Los Angeles, CA • On-site

$79.90 - $121.23/hr

Other

Medical, Dental, Vision, Retirement

Posted 17 days ago


Key responsibilities

  • Design and implement scientific studies and experiments to analyze climate data for utility strategies and policies

  • Develop and apply statistical and machine learning models to analyze climate and weather data to inform planning and risk mitigation

  • Develop and maintain high-performance data pipelines and manage meteorology-related computing programs


Job description

We are seeking a highly skilled and mission‑driven Climate Scientist to support the climate resilience team within a local utility. In this role, you will apply advanced data science, modeling, and machine learning techniques to analyze climate and weather data, helping the utility better understand and prepare for climate and weather‑driven risks—especially during fire season. Your work will directly inform infrastructure planning, emergency response, and public safety strategies and policies, ensuring our grid and communities are more resilient in the face of a changing climate. This is a contract position with an opportunity to apply for the permanent role.

What You’ll Do
  • Design and implement scientific studies and experiments to collect and analyze data related to the earth’s climate for application in utility specific strategies and policies
  • Develop and apply statistical and machine learning models to analyze historical and projected climate and weather data to inform asset hardening, vegetation management, and PSPS (Public Safety Power Shutoff) planning, with a focus on wildfire risk, extreme heat and wind events.
  • Stay current on climate science, modeling techniques, and regulatory developments affecting utility climate risk management; apply changes to weather forecast models where appropriate.
  • Develop and maintain high-performance data pipelines, integrating a wide range of meteorological data, and implement best practices in data management
  • Manage the utility’s meteorology related computing programs, including partnering with IT to troubleshoot hardware and software issues, monitor server health, and manage software upgrades
  • Develop and implement software upgrades to increase accuracy of weather forecast models.
  • Develop climate‑related policies and strategies for the utility, collaborating with meteorologists, engineers, emergency planners, and external partners to integrate climate and weather insights into operational, strategic, and emergency planning.
  • Support Department Emergency Operations Center activations with shift‑based overtime or on‑call work, including nights, weekends, holidays and extended hours.
  • This position’s work mode is in‑person.
What You’ll Bring
  • Master’s degree in Climate Science, Atmospheric Science, Environmental Science, Data Science, or a related field.
  • 3‑5 years of experience.
  • Knowledge of computer science principles to implement or modify application software along with data management techniques.
  • Proficiency in languages relevant for data analysis, modeling, and machine learning.
  • Experience working with climate and weather models and datasets, and downscaling techniques.
  • Excellent communication skills with the ability to translate technical findings into actionable insights.
  • A collaborative mindset, ability to operate in a dynamic fast‑paced environment, and a passion for using data to drive climate and weather resilience and public safety.
Compensation and Benefits

Slalom is committed to fair and equitable compensation practices. The targeted hourly pay range is $58/hr to $88/hr. Actual compensation will depend upon an individual’s skills, experience, qualifications, location, and other relevant factors. The hourly pay range is subject to change and may be modified at any time. Slalom prides itself on investing in benefits that include meaningful time off and paid holidays, parental leave, 401(k) with a match, a range of choices for highly subsidized health, dental, and vision coverage, adoption and fertility assistance, and short/long‑term disability. We also offer a yearly $350 reimbursement account for any well‑being‑related expenses, as well as discounted home, auto, and pet insurance.

EEO and Accommodations

Slalom is an equal opportunity employer and is committed to attracting, developing and retaining highly qualified talent that empowers our innovative teams through unique perspectives and experiences. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. Slalom will also consider qualified applications with criminal histories, consistent with legal requirements. Slalom welcomes and encourages applications from individuals with disabilities. Reasonable accommodations are available for candidates during all aspects of this selection process. Please advise the talent acquisition team or contact accommodations request@slalom.com if you require accommodations during the interview process.

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