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Statistician Internship Jobs (NOW HIRING)

$13 - $17.50/hr

ML models, statistics) for a project that can be completed during the course of the internship Requirements * Candidates must currently be enrolled in an academic degree program in Geography ...

Opportunities, including full-time summer internships and part-time work throughout the school year ... Build data sets and conduct statistical analysis on the data. Requirements * Substantial progress ...

Internship- Finance

Odessa, TX

$18 - $23.50/hr

Researches and compiles economic, financial, demographic, and statistical information; creates and ... Interns will work up to 40 hours per week. Schedule may vary based on departmental needs and ...

Researches and compiles economic, financial, demographic, and statistical information; creates and ... Interns will work up to 40 hours per week. Schedule may vary based on departmental needs and ...

Job Type Internship Description JOB TITLE : Access Center and Housing Intern (CRCD Internship ... statistical reports, and related documentation within established timelines. This includes timely ...

Access Center and Housing Intern (CRCD Internship) REPORTS TO: Director of Access and Engagement ... statistical reports, and related documentation within established timelines. This includes timely ...

Access Center and Housing Intern (CRCD Internship) REPORTS TO: Director of Access and Engagement ... statistical reports, and related documentation within established timelines. This includes timely ...

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Statistician Internship information

See salary details

$40.5K

$83.7K

$117K

How much do statistician internship jobs pay per year?

As of Jul 13, 2026, the average yearly pay for statistician internship 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 a Statistician Intern do?

A Statistician Intern assists in collecting, analyzing, and interpreting numerical data to help solve real-world problems in business, healthcare, government, or research. They work under the supervision of experienced statisticians, helping to design experiments or surveys, clean and organize data, and use statistical software to perform analyses. Interns may also help prepare reports and visualizations to communicate findings. This role provides hands-on experience with statistical techniques and tools, making it ideal for students or recent graduates interested in a statistics career.

What types of projects and data sets can I expect to work with during a Statistician Internship?

As a Statistician Intern, you'll typically work on real-world projects involving data analysis, statistical modeling, and data visualization. Depending on the organization, you may analyze survey results, experimental data, or large administrative datasets, often in fields like healthcare, finance, or public policy. Interns frequently collaborate with data scientists, researchers, or business analysts, contributing to reports and presentations that inform decision-making. This hands-on experience helps you develop practical skills in statistical software and teamwork, preparing you for future full-time roles.

What Is a Statistician Internship?

In a statistician internship, your job is to help provide an analysis of statistical data for your company. You review reports, research demographic information, and use predictive modeling to help the company make business decisions. As a student, there are limits on what you're allowed to do, but you may be asked to lead or manage a small-scale project for the company. Regardless of the company you choose for this internship, your primary job is learning more about how to use statistics in a business environment and how to apply the knowledge you've acquired. Statistics interns usually work under a senior employee.

What are the key skills and qualifications needed to thrive as a Statistician Intern, and why are they important?

To thrive as a Statistician Intern, a solid background in statistics, mathematics, and data analysis—often supported by coursework or a related degree—is essential. Familiarity with statistical software such as R, SAS, SPSS, or Python, and strong proficiency in Excel, are typically required. Analytical thinking, attention to detail, and good communication skills help interns interpret data accurately and present findings clearly. These abilities ensure interns can contribute valuable insights and reliable analyses to support data-driven decision-making in the organization.

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

AspectStatistician InternshipData Analyst Internship
Required CredentialsTypically pursuing or recent graduate in statistics, mathematics, or related fieldOften pursuing or recent graduate in data science, analytics, or related field
Work EnvironmentResearch labs, government agencies, or academic settingsBusiness, finance, or tech companies
Industry UsageUsed in research, government, healthcare, academiaCommon in corporate, marketing, and tech sectors
Search & Comparison IntentPeople comparing internships in statistical rolesPeople exploring data analysis internship opportunities

While both internships involve working with data, a Statistician Internship focuses more on designing experiments, analyzing data statistically, and applying mathematical models. A Data Analyst Internship emphasizes interpreting data, creating reports, and supporting business decisions. The choice depends on your career goals and preferred work environment.

What cities are hiring for Statistician Internship jobs? Cities with the most Statistician Internship job openings:
What are the most commonly searched types of Statistician jobs? The most popular types of Statistician jobs are:
What states have the most Statistician Internship jobs? States with the most job openings for Statistician Internship jobs include:
Infographic showing various Statistician Internship job openings in the United States as of July 2026, with employment types broken down into 9% Internship, 1% As Needed, 68% Full Time, 20% Part Time, 1% Temporary, and 1% Contract. Highlights an 87% Physical, 1% Hybrid, and 12% Remote job distribution, with an average salary of $83,657 per year, or $40.2 per hour.

Applied Scientist Internship

Strayos

On-site, Remote

$13 - $17.50/hr

Other

Posted 7 days ago


Job description

If you love using innovative technology to tackle tough science problems and working in a fast-paced, results-oriented team environment, keep reading to learn more about the Strayos Applied Scientist internship opportunity.


Here at Strayos, we use advanced computer vision and machine learning on images and machine sensors data to build insights for Mining, Infrastructure and Construction industry. Our applied science team uses these datasets to better understand our customers critical business operations and how it is changing. We are seeking three exceptional students with experience interpreting and processing imagery to join our applied science team during a three-month internship based at Strayos' headquarters in Buffalo, WNY.


Over the course of this internship, you will work directly with our dynamic team of applied scientists who can share their deep knowledge of machine learning, remote sensing, geoscience, and physics. As an intern, you will learn how to implement novel, cutting-edge remote sensing and machine learning techniques to solve challenging research questions. To efficiently execute your solutions, you will access the Strayos' imagery archive and cloud-computing resources, and receive mentorship from one of our applied scientists. At the end of the internship, you will present your findings to the broader applied science team and learn more about future career opportunities at Strayos.


Responsibilities

  • Leverage our Python-based platform to query, access, and manipulate aerial imagery

  • Utilize machine learning or other classification techniques to analyze aerial imagery

  • Produce clear, concise results (e.g. ML models, statistics) for a project that can be completed during the course of the internship


Requirements

  • Candidates must currently be enrolled in an academic degree program in Geography, Geoscience, Earth Science, Engineering, Physics, Computer Science or a related field, within 1 year of completion.

  • Experience with Python & Numpy

  • Strong problem solving and critical thinking skills

  • Excellent written and verbal communication

  • Ability to work independently


Preferred skills

  • Experience with machine learning and image classification

  • Proficiency with the following Python packages: numpy, scikit-learn, keras

  • Experience working with aerial or satellite imagery and geospatial data.

Employment Type: INTERN