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Internship Environmental Statistician Jobs (NOW HIRING)

2026 Internship Program

Pittsburgh, PA · On-site

$16.25 - $21/hr

... environmental data analytics/management, or applied statistics (particularly in R). The Internship ... Program runs for 10 weeks from June 8 through August 14, 2026, and involves predominantly remote ...

$13 - $17.50/hr

... team environment, keep reading to learn more about the Strayos Applied Scientist internship ... ML models, statistics) for a project that can be completed during the course of the internship ...

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Internship Environmental Statistician information

See salary details

$40.5K

$83.7K

$117K

How much do internship environmental statistician jobs pay per year?

As of Jul 1, 2026, the average yearly pay for internship environmental statistician in the United States is $83,657.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,000.00 and $116,000.00 per year, depending on experience, location, and employer.

What is the difference between Internship Environmental Statistician vs Environmental Data Analyst?

AspectInternship Environmental StatisticianEnvironmental Data Analyst
Required CredentialsEnrolled in or recent graduate of relevant degree (e.g., statistics, environmental science)Bachelor's or higher in statistics, environmental science, or related field
Work EnvironmentInternship setting, often in government agencies, environmental firms, or research institutionsFull-time or part-time roles in similar settings, often with more independence
Employer & Industry UsageUsed for entry-level training, internships, and skill development in environmental sectorsUsed for ongoing data analysis, reporting, and decision-making in environmental projects

The main difference is that an Internship Environmental Statistician is an entry-level, temporary position focused on gaining experience, while an Environmental Data Analyst is a more permanent role involving ongoing data analysis and reporting. Interns typically work under supervision, whereas Data Analysts operate independently on complex datasets.

What are the key skills and qualifications needed to thrive as an Internship Environmental Statistician, and why are they important?

To thrive as an Internship Environmental Statistician, you need a solid background in statistics, environmental science, and data analysis, often supported by coursework or a degree in statistics, mathematics, or a related field. Familiarity with statistical software such as R, Python, or SAS, and experience with data visualization tools and environmental databases are commonly required. Attention to detail, problem-solving skills, and effective communication are valuable soft skills for interpreting data and presenting findings to diverse audiences. These competencies are crucial for accurately analyzing environmental data, supporting research, and informing evidence-based environmental decisions.

What types of projects and data analyses can an Environmental Statistician intern expect to work on?

As an Environmental Statistician intern, you'll typically work on projects involving the collection, analysis, and interpretation of environmental data, such as air or water quality measurements, ecological surveys, or climate trends. You'll often collaborate with environmental scientists and engineers to apply statistical models that help assess environmental risks or track the effectiveness of conservation efforts. Interns are frequently tasked with data cleaning, exploratory data analysis, and generating reports or visualizations to support ongoing research or policy recommendations. This role provides hands-on experience with statistical software and real-world datasets, offering valuable insights into both the technical and collaborative aspects of environmental research.

What does an Internship Environmental Statistician do?

An Internship Environmental Statistician assists in collecting, analyzing, and interpreting environmental data to help solve real-world environmental problems. They work with teams to design studies, use statistical software to process data, and help present findings in reports or presentations. Interns may work on projects related to air and water quality, climate change, or ecological studies, and gain valuable experience in both statistics and environmental science. This role provides hands-on learning in data analysis and research methodologies relevant to environmental issues.
More about Internship Environmental Statistician jobs
What cities are hiring for Internship Environmental Statistician jobs? Cities with the most Internship Environmental Statistician job openings:
What are the most commonly searched types of Environmental Statistician jobs? The most popular types of Environmental Statistician jobs are:
What states have the most Internship Environmental Statistician jobs? States with the most job openings for Internship Environmental Statistician jobs include:
Infographic showing various Internship Environmental Statistician job openings in the United States as of June 2026, with employment types broken down into 44% Internship, 16% As Needed, 4% Full Time, 6% Temporary, 29% Contract, and 1% Nights. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $83,657 per year, or $40.2 per hour.
Summer 2027 Quantitative Research Internship

Summer 2027 Quantitative Research Internship

Point72

New York, NY

$240K - $300K/yr

Other

Posted 25 days ago


Job description

Please send CVs to KEPL-talent@cubistsystematic.com with "2027 QR Summer Internship Application" in the subject line. When your application is received, we will consider you for all similar positions at Cubist.

About Our Firm:

Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.

About Our Team:

KEPL is a fast-growing team at Cubist Systematic Strategies. We specialize in trading medium-frequency statistical arbitrage strategies with high Sharpe. The team is made up of people from top universities and top tier trading and tech firms. We have an open and collaborative culture, and we value rigorous research and innovative technologies.

Role / Experience:

We are looking for exceptional students to be our quantitative researcher interns for the summer of 2027. An ideal candidate should have a strong passion and initiative to work in a start-up environment. He/she should have strong analytical skills and be able to solve hard problems rigorously. Our typical intern candidates come from quantitative PhD programs of top US universities.

Our internship program offers unique KEPL experience. During the internship, our interns will receive rigorous and comprehensive trainings. They will develop strong research skills through working closely with our full-time researchers on brand new quant trading models with real-world impact. We will consider full-time offers for interns after the internship.

Requirements:

  • PhD candidate in math/physics/statistics/EE/CS, or other quantitative fields
  • Strong knowledge of computational math, probability, and statistics
  • Strong analytical skills, with attention to details
  • Good communication skills
  • Willing to work in a fast-paced start-up environment
  • Willing to learn and to take ownership
  • Strong programming skills in Python or C/C++
  • Commitment to the highest ethical standards

The annual base salary is $240,000-$300,000 (USD) which will be prorated based on internship start and end date. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.