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Internship Climate Data Scientist Jobs in New York

Alignerr

Climate Data Specialist

Manhattan, NY · On-site +1

Design, solve, and review advanced environmental science problems with real-world relevance and scientific rigor * Apply your expertise in climate modeling, ecology, sustainability, or related ...

Ardian

Data Scientist Intern

New York, NY

Efficiency Profile * 3rd-year student (end-of-studies internship) or 2nd-year student (2nd gap year internship) of engineering or business school, currently pursuing a degree in data science ...

Ardian

Data Scientist Intern

New York, NY · On-site

Efficiency Profile * 3rd-year student (end-of-studies internship) or 2nd-year student (2nd gap year internship) of engineering or business school, currently pursuing a degree in data science ...

MasterCard

Climate Resilience Manager

Purchase, NY · On-site +1

All About You: Qualifications: Bachelor's degree in environmental science, geography ... Proficiency in Climate Data Analysis: Ability to interpret and apply climate data to inform ...

MasterCard

Climate Resilience Manager

New York, NY · On-site +1

All About You: Qualifications: Bachelor's degree in environmental science, geography ... Proficiency in Climate Data Analysis: Ability to interpret and apply climate data to inform ...

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Internship Climate Data Scientist information

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 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 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 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.

What are the most commonly searched types of Climate Data Scientist jobs in New York? The most popular types of Climate Data Scientist jobs in New York are:
What are popular job titles related to Internship Climate Data Scientist jobs in New York? For Internship Climate Data Scientist jobs in New York, the most frequently searched job titles are:
What job categories do people searching Internship Climate Data Scientist jobs in New York look for? The top searched job categories for Internship Climate Data Scientist jobs in New York are:
What cities in New York are hiring for Internship Climate Data Scientist jobs? Cities in New York with the most Internship Climate Data Scientist job openings:
Internship Climate Data Scientist jobs near you
Infographic showing various Internship Climate Data Scientist job openings in New York as of May 2026, with employment types broken down into 22% Internship, 56% Full Time, 18% Part Time, and 4% Temporary. Highlights an 89% In-person, 5% Hybrid, and 6% Remote job distribution.

Climate Data Specialist

Alignerr

Manhattan, NY • On-site, Remote

Other

This job post has expired today. Applications are no longer accepted.

Job description

Climate Data Specialist (AI Training)
About the Role
What if your expertise in climate modeling, ecology, or sustainability could directly shape how AI understands one of the most critical fields of our time? We're looking for environmental science experts to help build and train cutting-edge AI models - developing complex, real-world problems that push the boundaries of what AI can reason through.
This is a fully remote, flexible contract role designed for Masters and PhD-level scientists who want to put their deep domain knowledge to work on something genuinely impactful.
  • Organization
    : Alignerr
  • Type
    : Hourly Contract
  • Location
    : Remote
  • Commitment
    : 10-40 hours/week
What You'll Do
  • Design, solve, and review advanced environmental science problems with real-world relevance and scientific rigor
  • Apply your expertise in climate modeling, ecology, sustainability, or related disciplines to create complex, nuanced problem sets
  • Collaborate asynchronously with AI researchers and fellow domain experts to strengthen AI model reasoning
  • Evaluate the quality, clarity, and scientific depth of AI-generated outputs in your area of expertise
  • Ensure accuracy and intellectual integrity across all deliverables
Who You Are
  • Master's or PhD in Environmental Science, Climate Science, Ecology, or a closely related field
  • Strong expertise in at least one of: climate modeling, ecology, sustainability, or environmental data analysis
  • Proficient in Python or R for research, data analysis, or modeling
  • Exceptional written communicator - you can explain complex science clearly and precisely
  • Naturally detail-oriented with a rigorous, methodical approach to scientific problems
  • Fluent in English and based in the U.S., Canada, U.K., Australia, or New Zealand
Nice to Have
  • Prior experience with data annotation, data quality review, or AI evaluation workflows
  • Background in quantitative environmental modeling or large-scale ecological datasets
  • Experience writing or reviewing scientific literature or technical documentation
  • Familiarity with AI tools or machine learning concepts as an end user
Why Join Us
  • Work on cutting-edge AI projects alongside leading research labs
  • Fully remote and flexible - work when and where it suits you
  • Freelance autonomy with the structure of meaningful, task-based work
  • Apply your scientific expertise to a domain where it creates lasting, tangible impact
  • Potential for ongoing work and contract extension as new projects launch

Apply