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Internship Regression Jobs (NOW HIRING)

SCM

Quantitative Research Analyst Internship

Radnor, PA · On-site

Opportunities, including full-time summer internships and part-time work throughout the school year ... Experience with regression analysis. * Strong interest in learning how to build, organize and ...

Desjardins Group

$15.50 - $20.75/hr

Several internship opportunities are available. More specifically, we're looking for interns in the ... non-regression). Help set up test environments, perform test scenarios and communicate results ...

Axway

Software Engineering Internship

Scottsdale, AZ · On-site

Software Engineering Internship Job ID 2026-8727 Category Executive/Administrative/HR/Legal Job ... Execute and analyze automated test suites for functional, regression, and integration testing

3ds

INTERNSHIP - Software Engineer

Johnston, RI · On-site

$22 - $40/hr

... Regression testing • Automated testing • Ability to work well with others in a highly collaborative, cross-team environment This is a paid internship based at the Dassault Systèmes Office ...

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How much do internship regression jobs pay per hour?

As of Jun 5, 2026, the average hourly pay for internship regression in the United States is $25.42, according to ZipRecruiter salary data. Most workers in this role earn between $20.67 and $28.85 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Intern in Regression Analysis, and why are they important?

To thrive as an Intern in Regression Analysis, you need a strong grounding in statistics, data analysis, and familiarity with linear and logistic regression techniques, typically supported by coursework in mathematics or data science. Proficiency with statistical software such as R, Python (with libraries like scikit-learn), or SPSS is often required. Strong problem-solving, attention to detail, and effective communication skills help interns interpret data findings and collaborate with team members. These skills are essential for producing accurate analyses that inform business or research decisions.

What are the typical projects or tasks an intern working in regression analysis can expect to handle during their internship?

As an intern focused on regression analysis, you can expect to work on projects involving data cleaning, exploratory data analysis, and building statistical models to uncover relationships between variables. Typical tasks include preparing datasets, selecting appropriate regression techniques, interpreting model results, and presenting findings to your team. You'll often collaborate closely with data scientists, analysts, and sometimes business stakeholders to ensure your analysis supports broader organizational goals. This hands-on experience helps you develop technical and communication skills essential for a future career in data analysis or data science.

What are internship regression roles?

Internship regression positions typically refer to internship roles focused on regression analysis, a statistical method used to examine relationships between variables. Interns in these positions often assist in analyzing data sets, building regression models, and interpreting results to help organizations make data-driven decisions. These roles are common in fields like data science, finance, and market research. Students or recent graduates with a background in statistics, mathematics, or computer science are well-suited for these internships. Responsibilities may include data cleaning, running statistical software, and preparing reports based on findings.

What is the difference between Internship Regression vs Data Analyst Intern?

AspectInternship RegressionData Analyst Intern
Required CredentialsBasic coursework in statistics, data analysis, or related fieldsSimilar; often pursuing or holding a degree in data science, statistics, or related fields
Work EnvironmentEntry-level, supervised projects, often in tech, finance, or healthcare companiesSimilar; supporting data teams, working with datasets, and reporting
Employer & Industry UsageCommon in tech, finance, healthcare, and consulting firmsCommon in same industries, often overlapping in job search queries

Internship Regression and Data Analyst Intern roles share similar credentials, work environments, and industry usage. Both are entry-level positions focused on data analysis, often requiring coursework or degrees in related fields. They are frequently found in tech, finance, and healthcare sectors, making them common comparison points for job seekers exploring data-related internships.

More about Internship Regression jobs
What cities are hiring for Internship Regression jobs? Cities with the most Internship Regression job openings:
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Internship Regression jobs near you
Infographic showing various Internship Regression job openings in the United States as of May 2026, with employment types broken down into 56% Full Time, 42% Part Time, 1% Temporary, and 1% Contract. Highlights an 67% Physical, 5% Hybrid, and 28% Remote job distribution, with an average salary of $52,867 per year, or $25.4 per hour.

Quantitative Research Analyst Internship

Stevens Capital Management LP - Full Time and Internships

Radnor, PA

Other

Posted 21 days ago

Job description

We're seeking exceptionally motivated students with a strong interest in the financial markets to contribute to our empirical research process.  The range of research ideas to investigate is open-ended and will depend on a candidate's background and strengths.

Opportunities, including full-time summer internships and part-time work throughout the school year, are available for qualified students at each of the undergraduate, masters and PhD levels.

Primary Responsibilities

  • Read and analyze academic research or other source material pertaining to anomalies in the global financial markets.
  • Build data sets and conduct statistical analysis on the data.

Requirements

  • Substantial progress toward a degree (graduate level preferred) in a quantitative discipline (e.g. statistics, econometrics, mathematics, engineering, physics or computer science) or finance (with extensive coursework in quantitative disciplines). 
  • Programming experience, ideally including R, C++ and/or Python.
  • Experience with regression analysis.
  • Strong interest in learning how to build, organize and analyze large data sets.
  • Strong organizational and communication skills.

Apply