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Internship Environmental Statistician Jobs (NOW HIRING)

Actuarial Internship

Portland, OR ยท Remote

$23.50 - $26.50/hr

Work in our flexibility-first environment that combines the best parts of remote work with an ... Preferred majors in Actuarial Science, Mathematics, Statistics, or related field * Strong ...

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Internship Environmental Statistician information

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$40.5K

$83.7K

$117K

How much do internship environmental statistician jobs pay per year?

As of Aug 17, 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 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.

What types of projects and data analyses can an internship environmental statistician 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 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 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.

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 August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $83,657 per year, or $40.2 per hour.

Quantitative Research Internship - PhD: Summer 2027

Susquehanna International Group

Manhattan, NY โ€ข On-site

$8.6K/wk

Other

Posted 14 days ago


Job description

Overview
As a Quantitative Research Intern at Susquehanna, you will work on projects that model the work of our full-time employees. You will also go through a comprehensive education program and interact with mentors who are at the top of their field, allowing you to build foundational knowledge in quantitative finance. You will have the opportunity to build alphas on an actual trading strategy.
What you can expect
  • Modelling: Apply probability theory, statistical analysis, and machine learning techniques to predict market behavior and generate alphas
  • Execution: Create strategies to execute on modelling ideas under simulated competition
  • Evaluation: Backtest ideas using historical market data and revise strategies
  • Breadth: Explore all aspects of quant work and different areas of Susquehanna's business
  • Education: Participate in a comprehensive education program and receive personalized mentorship from experienced professionals to accelerate your growth
  • Collaboration: Work in an open environment that allows you to collaborate with multiple teams and get exposure to different groups and parts of the business
Susquehanna combines all of the above to provide the best quant internship program in the industry. Join us to see why so many previous quant interns decide to return for a full-time career.
What we're looking for
  • PhDs (in penultimate or final year) in quantitative fields such as mathematics, physics, statistics, electrical engineering, computer science, operations research, or economics
  • Analytical problem-solvers with excellent logical reasoning and a passion for turning data into decisions
  • Clear communicators in a fast-paced and highly collaborative environment
  • Programmers comfortable processing and analyzing large data sets in Python; experience with C++ (or another low-level language) is a plus
  • Strategic thinkers with demonstrated interests in strategic games and/or competitive activities
  • Self-motivated and quick to learn, thriving in dynamic, fast-moving environment

By applying to this role, you will be automatically considered for the Quantitative Systematic Trading Internship program. There is no need to apply to both positions to be considered for both.
Opportunities as a quantitative research intern will be available in our Philadelphia and New York offices.
PhD quantitative research interns will receive a $8600 weekly base salary during the ten-week program. In addition, interns will receive a signing bonus, housing, breakfast and lunch, and other perks.
About Susquehanna
Susquehanna is a global quantitative trading firm powered by scientific rigor, curiosity, and innovation. Our culture is intellectually driven and highly collaborative, bringing together researchers, engineers, and traders to design and deploy impactful strategies in our systematic trading environment. To meet the unique challenges of global markets, Susquehanna applies machine learning and advanced quantitative research to vast datasets in order to uncover actionable insights and build effective strategies. By uniting deep market expertise with cutting-edge technology, we excel in solving complex problems and pushing boundaries together.
If you're a recruiting agency and want to partner with us, please reach out to recruiting@sig.com. Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee.
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