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Data Science Analyst Intern Jobs (NOW HIRING)

Role Overview The Data Analyst Intern will support the Data Strategy and Governance team in ... Currently enrolled in a bachelor's or advanced degree program in Data Analytics, Data Science ...

POSITION PURPOSE: The Data Science Intern will contribute to real-world projects at the ... Contribute to the end-to-end analysis of real datasets-framing the question, applying statistical ...

S. Venture Data and Analytics team as a Data Science Intern for Summer 2027! U.S. Venture's Internship Program runs May - August 2027. Dates may vary based on individual class schedules. This ...

The Data Analyst Intern supports the Digital Solutions Division (DSD) through data analysis ... Currently enrolled and pursuing a degree in Data Analytics, Computer Science, Data Science ...

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Data Science Analyst Intern information

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How much do data science analyst intern jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for data science analyst intern in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

What does a data science analyst intern do?

A Data Science Analyst Intern assists with analyzing large datasets to uncover patterns, trends, and insights that support business decisions. They typically work alongside data scientists and analysts to clean, organize, and visualize data, as well as help build and test predictive models. Interns may also assist in preparing reports and presentations that communicate findings to stakeholders. This role provides hands-on experience with data analysis tools and techniques, and is a valuable stepping stone for a career in data science.

What are some typical projects or tasks that a data science analyst intern might work on during their internship?

As a Data Science Analyst Intern, you can expect to work on projects such as cleaning and analyzing large datasets, building and testing predictive models, and creating visualizations to communicate findings to stakeholders. Interns often collaborate closely with data scientists, engineers, and business analysts, gaining exposure to real-world data challenges and learning how to apply statistical and machine learning techniques. The role usually involves using tools like Python, R, and SQL, and you may also have opportunities to present your work to different teams, helping you develop both technical and communication skills.

What are the key skills and qualifications needed to thrive as a data science analyst intern, and why are they important?

To thrive as a Data Science Analyst Intern, you need a solid grasp of statistics, data analysis, and programming languages such as Python or R, typically supported by coursework or a degree in a quantitative field. Familiarity with data visualization tools like Tableau, SQL databases, and version control systems (e.g., Git) is often required. Problem-solving ability, attention to detail, and strong communication skills help interns effectively interpret data and share insights with team members. These skills are crucial for transforming raw data into actionable business insights and supporting data-driven decision-making.

What is the difference between Data Science Analyst Intern vs Data Analyst Intern?

AspectData Science Analyst InternData Analyst Intern
Required SkillsBasic programming, statistical analysis, data visualizationData manipulation, Excel, basic SQL
Work EnvironmentTech companies, startups, research labsBusiness, finance, marketing sectors
Typical Duration3-6 months internship3-6 months internship

The Data Science Analyst Intern role focuses on applying statistical and programming skills to analyze complex data sets, often involving machine learning and predictive modeling. In contrast, Data Analyst Interns primarily handle data cleaning, reporting, and visualization to support business decisions. Both roles are entry-level, require similar foundational skills, and are common in tech and business industries. Understanding these differences helps candidates target their applications effectively.

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Infographic showing various Data Science Analyst Intern job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 12% Part Time, and 2% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.

Intern - Business Data Analyst

Worcester, MA • On-site

Full-time, Internship

Posted 18 days ago


Job description

Role Overview

The Data Analyst Intern will support the Data Strategy and Governance team in advancing data, model, and AI governance initiatives across the organization. This role provides an opportunity to gain hands-on experience supporting data quality and governance processes and contributing to enterprise governance efforts. The intern will partner with business and technology stakeholders to help drive data-driven decision-making, improve governance practices, and support responsible management of data, models, and artificial intelligence solutions. This internship offers exposure to analytics, risk management, regulatory considerations, and emerging AI governance practices while developing valuable technical, analytical, and communication skills.

 

IN THIS ROLE, YOU WILL:

  • Support the Data Strategy and Governance team with data, model, and AI governance initiatives.
  • Collect, analyze, validate, and report data to support governance and business decisions.
  • Develop dashboards, reports, metrics, and monitoring tools to track data quality and governance effectiveness.
  • Assist with data quality assessments, governance documentation, metadata management, and issue resolution.
  • Identify trends, risks, and opportunities for process improvement through data analysis.
  • Partner with business and technology stakeholders to support governance objectives.
  • Communicate insights and recommendations through reports and presentations.
  • Manage multiple projects and priorities in a fast-paced environment.
  • Gain exposure to data governance, model governance, AI governance, and risk management practices.
  • Deliver a final presentation to leadership highlighting your accomplishments and key learnings from the internship.

WHAT YOU NEED TO APPLY:

  • Cumulative GPA of 3.0 or higher preferred.
  • Currently enrolled in a bachelor's or advanced degree program in Data Analytics, Data Science, Computer Science, Information Systems, Statistics, Mathematics, Business Analytics, Economics, or a related field.
  • Technical skills: experience with Power BI (preferred), Tableau, SQL, Excel, Python, or other data analysis and visualization tools.
  • Interest in data governance, data quality, model risk management, AI governance, analytics, or enterprise data management.
  • Ability to commit to a full-time 10-week internship program.
  • Ability to work in the U.S. without requiring sponsorship now or in the future.
  • Strong analytical and problem-solving skills with attention to detail and data accuracy.
  • Strong interpersonal, verbal, and written communication skills.
  • Demonstrates initiative, curiosity, creativity, and a desire to learn emerging data and AI governance practices.
  • Ability to think critically, identify risks or opportunities, and develop data-driven recommendations and solutions.
  • Ability to collaborate effectively across diverse teams and stakeholders.