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Data Science Analyst Intern Jobs (NOW HIRING)

Data Science Analyst II

Austin, TX · On-site

$72 - $88/hr

Data Science Analyst II Department: Dell Medical School Location: UT MAIN CAMPUS Weekly Scheduled Hours: 40 FLSA Status: Exempt from FLSA Earliest Start Date: Immediately Purpose The Data Science ...

We are looking for a Data Science Analyst who can not just report on performance, but also interpret data to drive decision-making to ensure our clients turn raw data into measurable business value.

We are looking for a Data Science Analyst who can not just report on performance, but also interpret data to drive decision-making to ensure our clients turn raw data into measurable business value.

Responsibilities Data Scientists at Mayo Clinic perform detailed analysis of large bodies of heterogeneous data in order to discover new patterns and insights having an impact upon patient health and ...

Data Scientists at Mayo Clinic perform detailed analysis of large bodies of heterogeneous data in order to discover new patterns and insights having an impact upon patient health and augmenting human ...

Data Scientists at Mayo Clinic perform detailed analysis of large bodies of heterogeneous data in order to discover new patterns and insights having an impact upon patient health and augmenting human ...

Data Scientists at Mayo Clinic perform detailed analysis of large bodies of heterogeneous data in order to discover new patterns and insights having an impact upon patient health and augmenting human ...

Data Science Analyst

New York, NY · On-site

$74K - $148K/yr

... data science and machine learning knowledge to help improve patient care capabilities, optimize healthcare operations, and drive evidence-based decision-making. * Develops basic analytical frameworks ...

New

Data Science Analyst

Manhattan, NY · On-site

$74 - $148/hr

... data science and machine learning knowledge to help improve patient care capabilities, optimize healthcare operations, and drive evidence-based decision-making. * Develops basic analytical frameworks ...

New

Yes We are seeking a Data Science Analyst/Engineer to join our Program working with the Data Engineering Team responsible for integrating new Data Stores and building the Metadata Application Profile ...

Yes We are seeking a Data Science Analyst/Engineer to join our Program working with the Data Engineering Team responsible for integrating new Data Stores and building the Metadata Application Profile ...

The Data Science Analyst assists in the preparation, design and execution of models and data products to improve the academic and business outcomes of Stride. The position participates as a member of ...

The Data Science Analyst assists in the preparation, design and execution of models and data products to improve the academic and business outcomes of Stride. The position participates as a member of ...

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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 Aug 25, 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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What cities are hiring for Data Science Analyst Intern jobs?

Cities with the most Data Science Analyst Intern job openings:

What are the most commonly searched types of Data Science Analyst jobs?

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What states have the most Data Science Analyst Intern jobs?

States with the most job openings for Data Science Analyst Intern jobs include:

Infographic showing various Data Science Analyst Intern 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, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.

Full-time

Re-posted 15 days ago


Job description

We believe power is a promise - a shared commitment to be there for others when it matters most.
For more than 65 years, we've turned big ideas into solutions that help protect homes, strengthen businesses and build a more resilient, efficient, sustainable energy future.
Ready to Power a Smarter World with us?
In the role of Data Science Analyst working onsite in Waukesha, Wisconsin you will be part of the Data Analytics and Business Intelligence team.
The Data Science Analyst is responsible for the analysis of structured and unstructured data using various techniques, e.g. statistical analysis, explanatory and predictive modeling, data mining. The candidate will determine best practices and develop actionable insights and recommendations for the current operations or issues and works closely with the business functional team to identify analytical requirements. The candidate will work on Enterprise data platform and other analytical projects as needed, assist in implementing or developing systems to capture operational information, and may assist less experienced analysts. The candidate must have familiarity with the manipulation of unstructured data in a data analytics environment, and the use of open-source tools, cloud computing, machine learning and data visualization and appropriate, relevant programming languages.
*This is not a remote role, the ideal candidate will need to be located in Wisconsin, due to this position being onsite and reporting into our Waukesha Headquarters*
Minimum Qualifications:
  • Bachelor Degree
  • 1 year work experience in Math, Statistics, or Computer Science

Preferred Qualifications:
  • Relational database experience & Experience query databases (ex: SQL, MySql).
  • Experience with one or more statistical analysis tools (ex: MatLab, MiniTab, SPSS, or R).
  • Experience with statistical analysis languages (ex: R, Python, SQL).
  • Experience on using the cloud platform (ex Azure, AWS..)
  • Experience with building agents using Microsoft CoPilot, and other solution paths

Essential Duties:
  • Develop and analyze various data to support Enterprise Transformation initiatives and AI use cases
  • Supports data preparation for analytic efforts by cleaning data to ensure quality and accuracy based on provided guidelines; and consolidating data.
  • Translating business requirements; informing data/information needs and data collection methods
  • Create custom data models & create pipelines and algorithms as needed & produce Data insights
  • Assists with data and information gathering for targeted variables in an established systematic fashion by cleaning and organizing data; querying, merging, and extracting data across sources; completing routine data refresh and update; and providing user support and documentation.
  • Supporting end-users; and documenting processes and deliverables
  • Ongoing reports highlighting the initiative progress and successes.

Knowledge and Skills:
  • Ability to write complex SQL queries, data visualization
  • Proficiency in database applications and MS Office with excellent Excel skills.
  • Requires excellent analytical, organization, project management, communication, presentation and people skills with a variety of audiences, up to and including, the executive level.
  • Ability to simplify complex findings to develop unique, practical solutions.
  • Able to understand various data structures and common methods in data transformation.
  • Excellent pattern recognition and predictive modeling skills.
  • Cross/multi-functional understanding of industry, company, and products to enable identification of assumptions and events, and qualification of related risks and opportunities.
  • Self-motivated and able to work with minimal direction

#LI-BB1
Physical Demands: While performing the duties of this job, the employee is regularly required to talk and hear; and use hands to manipulate objects or controls. The employee is regularly required to stand and walk. On occasion, the incumbent may be required to stoop, bend, or reach above the shoulders. The employee must occasionally lift up to 25 pounds. Specific conditions of this job are typical of frequent and continuous computer-based work requiring periods of sitting, close vision, and the ability to adjust focus. Occasional travel.
"We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability status, protected veteran status, or any other characteristic protected by law."