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Intern Topological Data Analysis Jobs (NOW HIRING)

The Data Intelligence Intern will support the Division of Analytics, Intelligence, and Reporting by assisting with data analysis, business intelligence, automation, and reporting initiatives. This ...

Data Analyst Intern

El Segundo, CA · On-site

$20 - $25/hr

We're looking for a data analyst intern to join our LA based team! If you're a problem-solving pro ... Perform preliminary data analysis to identify trends, patterns, and anomalies within large datasets ...

Data Analyst Intern

Los Angeles, CA · On-site

$20 - $25/hr

We're looking for a data analyst intern to join our LA based team! If you're a problem-solving pro ... Perform preliminary data analysis to identify trends, patterns, and anomalies within large datasets ...

DATA INSIGHTS INTERN Job Overview: Fidelity Bank's highly competitive Fall 2026 Data Insights ... Analyzing customer behaviors for sales strategy deployment * Supporting divisional projects ...

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How much do intern topological data analysis jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for intern topological data analysis 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 is an intern in topological data analysis?

An Intern in Topological Data Analysis is a student or recent graduate who assists in research and projects involving the application of topological methods to analyze complex data sets. They typically work under the guidance of experienced data scientists or mathematicians, learning how to use tools like persistent homology to extract meaningful patterns from data. Their tasks may include coding, data preprocessing, running experiments, and helping interpret the results. The internship provides hands-on experience at the intersection of mathematics, computer science, and data analysis.

What skills and qualifications are needed to thrive as an intern in topological data analysis?

To thrive as an Intern in Topological Data Analysis, you need a solid background in mathematics—especially topology and algebra—and programming skills, typically supported by coursework or a degree in mathematics, computer science, or a related field. Familiarity with technical tools such as Python, R, and specialized libraries like GUDHI or scikit-tda is often expected. Strong analytical thinking, attention to detail, and effective communication skills help interns interpret results and collaborate with interdisciplinary teams. These skills are crucial for solving complex data problems and contributing valuable insights to research or applied projects.

What do interns in topological data analysis do?

As an Intern in Topological Data Analysis, you can expect to support research and application of topological methods to real-world datasets across fields like biology, computer vision, or finance. Typical responsibilities include cleaning and preprocessing data, implementing algorithms such as persistent homology, visualizing results, and collaborating with team members to interpret findings. You may also contribute to academic papers, present findings in meetings, and help develop tools or software to streamline topological analyses. Interns often work closely with experienced researchers or data scientists, gaining practical exposure to both theoretical concepts and their practical applications.

What is the difference between Intern Topological Data Analysis vs Data Analyst Intern?

AspectIntern Topological Data AnalysisData Analyst Intern
Required skillsMathematics, topology, data analysis, programmingStatistics, data visualization, Excel, SQL
Work environmentResearch labs, tech companies, academiaBusiness, finance, marketing departments
Industry usageData science, machine learning, research projectsBusiness insights, reporting, data management

Intern Topological Data Analysis focuses on advanced mathematical techniques like topology to analyze complex data structures, often in research or specialized tech environments. In contrast, Data Analyst Interns typically work with statistical tools and visualization to interpret business data. Both roles require analytical skills, but the focus and tools differ significantly, reflecting their distinct industry applications.

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What cities are hiring for Intern Topological Data Analysis jobs? Cities with the most Intern Topological Data Analysis job openings:
What are the most commonly searched types of Topological Data Analysis jobs? The most popular types of Topological Data Analysis jobs are:
What states have the most Intern Topological Data Analysis jobs? States with the most job openings for Intern Topological Data Analysis jobs include:
What job categories do people searching Intern Topological Data Analysis jobs look for? The top searched job categories for Intern Topological Data Analysis jobs are:
Infographic showing various Intern Topological Data Analysis job openings in the United States as of August 2026, with employment types broken down into 100% Internship. Highlights an 100% In-person job distribution, with an average salary of $46,809 per year, or $22.5 per hour.

Data Analyst (Power), Emerging Talent Intern (Fall)

New York City Transit

New York, NY

Internship

Posted yesterday

New


New York City Transit Authority rating

7.5

Company rating: 7.5 out of 10

Based on 63 frontline employees who took The Breakroom Quiz

510th of 841 rated public administrative organizations


Job description

Department:                     Department of Subways 

Location:                          333 West 53rd Street, New York, NY 10019

Position Title:                   Data Analyst (Power), Emerging Talent Intern

Hourly Rate:                    $19.00 (Undergraduate)

All internship positions are onsite and require regular, in-person attendance at the designated work location.

OVERVIEW OF DEPARTMENT:

The Power Department is responsible for maintaining and managing the electrical and third rail systems that supply traction power to the New York City Transit network. It ensures safe, reliable, and continuous electrical service for train operations across the system. The Electrical oversee substations, cable systems, and maintenance, while the Third Rail focuses on maintaining and upgrading the third rail used to power trains. Together, these divisions handle critical repairs, capital projects, and emergency responses to sustain system reliability.

RESPONSIBILITIES:

  • Assist in developing Power BI dashboards that visualize operational and performance data.
  • Analyze departmental data to identify inefficiencies, gaps, and improvement opportunities.
  • Prepare and present data findings to management in a clear and actionable format.
  • Support the creation of automated workflows using Power Automate to streamline daily processes.
  • Help maintain and enhance SharePoint sites for improved information organization and accessibility.
  • Collaborate with analysts, engineers, and management teams on ongoing operational projects.
  • Document workflows, data procedures, and project updates for internal use and reporting.
  • Perform routine data quality checks to ensure accuracy, consistency, and reliability of reports.

PROJECTS:

  • Power BI Reporting & Insights Project - The intern will develop interactive Power BI dashboards by pulling and transforming operational data, uncovering performance patterns, and delivering insights that support data‑driven decision-making across the department.
  • Departmental Data Analysis & Performance Evaluation Project -The intern will conduct detailed reviews of departmental workflows and metrics, identify performance gaps or inefficiencies, and present findings to management in a clear and actionable format to help improve overall departmental output.
  • Automation & Workflow Development Project -The intern will design and build automated processes using Power Automate and SharePoint, creating tools and integrations that reduce manual work, streamline information flow, and support productivity across the team.

REQUIRED QUALIFICATIONS:

  • Proficiency in Microsoft Office Suite is a must.
  • The candidate should possess organizational, analytical and communication skills. 
  • The candidate should be able to work well under pressure and prioritize tasks effectively.
  • The candidate should have a keen eye for detail and be able to work independently while being an active team player.

REQUIRED EDUCATION:

  • Matriculated in an undergraduate program in good standing with at least 2.5 GPA.
  • Major(s) Preferred: Computer Science, or related field.

 All applicants must be authorized to work in the United States at the time of application. Students’ transcript must be submitted.

Equal Employment Opportunity

MTA and its subsidiary and affiliated agencies are Equal Opportunity Employers, including with respect to veteran status and individuals with disabilities. The MTA encourages qualified applicants from diverse backgrounds, experiences, and abilities, including military service members, to apply.


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