ZipRecruiter

Log In

1

Intern Topological Data Analysis Jobs in Raleigh, NC

Workiva

Spring 2027 Intern - Data Analytics

Raleigh, NC · On-site

$22/hr

The Data Research and Collection Intern collects and interprets data for our customers affected by ... Analyze use of Wdesk by current customers in the EU What You'll Need Minimum Qualifications

Workiva

Spring 2027 Intern - Data Analytics

Durham, NC · On-site

$22/hr

The Data Research and Collection Intern collects and interprets data for our customers affected by ... Analyze use of Wdesk by current customers in the EU What You'll Need Minimum Qualifications

Workiva

Spring 2027 Intern - Data Analytics

Raleigh, NC · On-site +1

$22/hr

The Data Research and Collection Intern collects and interprets data for our customers affected by ... Analyze use of Wdesk by current customers in the EU What You'll Need Minimum Qualifications

Workiva

Spring 2027 Intern - Data Analytics

Durham, NC · On-site +1

$22/hr

The Data Research and Collection Intern collects and interprets data for our customers affected by ... Analyze use of Wdesk by current customers in the EU What You'll Need Minimum Qualifications

next page

Showing results 1-20

All JobsIntern Topological Data Analysis JobsIntern Topological Data Analysis Jobs in Raleigh, NC

Intern Topological Data Analysis information

See Raleigh, NC salary details

$11

$21

$40

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

As of Sep 9, 2026, the average hourly pay for intern topological data analysis in Raleigh, NC is $21.88, according to ZipRecruiter salary data. Most workers in this role earn between $16.83 and $23.85 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 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 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 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.

What are popular job titles related to Intern Topological Data Analysis jobs in Raleigh, NC?

For Intern Topological Data Analysis jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Intern Topological Data Analysis jobs in Raleigh, NC look for?

The top searched job categories for Intern Topological Data Analysis jobs in Raleigh, NC are:

Intern Topological Data Analysis jobs near you
Infographic showing various Intern Topological Data Analysis job openings in Raleigh, NC as of July 2026, with employment types broken down into 100% Internship. Highlights an 100% In-person job distribution, with an average salary of $45,502 per year, or $21.9 per hour.

Data Science Intern

Durham, NC • Hybrid

Hewlett Packard Enterprise
IT Services • 10K+ employees
Learn more about Hewlett Packard Enterpriseexternal

Full-time

Posted 10 days ago

Key responsibilities

  • Participates in the analysis and validation of data sets, solutions, and user experience.

  • Aids in the development, enhancement, and maintenance of a client's metadata based on analytic objectives.

  • Contributes to building, validating, and selecting models to support analytic solutions and visualizes insights.

Hewlett Packard Enterprise rating

8.7

Company rating: 8.7 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

19th of 162 rated electronics manufacturers

Job description

Data Science InternThis role has been designed as 'Hybrid' with a requirement that you will work on average 2 days per week from an HPE office.

Who We Are:

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today's complex world.Our culture thrives onfinding new and better ways to accelerate what's next.We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs.We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you.Open up opportunities with HPE.

Job Description:

This requisition may be classified as on desk or hybrid depending on location and role.

Job Family Definition:

Designs, develops and applies programs, methodologies and systems based on advanced analytic models (e.g. advanced statistics, operations research, computer science, process) to transform structured and unstructured data into meaningful and actionable information insights that drive decision making. Uses visualization techniques to translate analytic insights into understandable business stories (eg. descriptive, inferential and predictive insights). Embeds analytics into client's business processes and applications. Combines business acumen and scientific methods to solve business problems.

Management Level Definition:

Contributes to assignments of limited scope by applying technical concepts and theoretical knowledge acquired through specialized training, education, or previous experience. Acts as team member by providing information, analysis and recommendations in support of team efforts. Exercises independent judgment within defined parameters.

Responsibilities:

Participates in the analysis and validation of data sets/solutions/user experience.

Aids in the development, enhancement and maintenance of a client's metadata based on analytic objectives. May load data into the infrastructure and contributes to the creation of the hypothesis matrix. Prepares a portion of the data for the Exploratory Data Analysis (EDA) / hypotheses.

Contributes to building models for the overall solution, validates results and performance. Contributes to the selection of the model that supports the overall solution.

Supports the research, identification and delivery of data science solutions to problems.

Supports visualization of the model's insights, user experience and configuration tools for the analytics model.


Intern Education & Experience Required:

Working towards a Bachelor's and/or Master's degree with a focus in Data Science, Computer Science, Computer Engineering, Software development, or other IT related field.

Knowledge and Skills:

Basic knowledge of data science methodologies.

Basic understanding of business requirements and data science objectives.

Basic data mapping, data transfer and data migration skills. Basic understanding of analytics software (eg. R, SAS, SPSS, Python).

Basic knowledge of machine learning, data integration, and modeling skills and ETL tools (eg. Informatica, Ab Initio, Talend).

Basic communication and presentation skills.

Basic data knowledge of relevant data programming languages.

Basic knowledge of data visualization techniques.

What We Can Offer You:

Health & Wellbeing

We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.

Personal & Professional Development

We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have - whether you want to become a knowledge expert in your field or apply your skills to another division.

Unconditional Inclusion

We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.

Let's Stay Connected:

Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.

#unitedstates#interns

Job:

Engineering

Job Level:

N/AFor the Analyst position: "The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level.
- United States of America: Hourly Salary USD 35.00 - 40.25 in Colorado // 35.00 - 40.25 in Massachusetts // 35.00 - 40.25 in California // 35.00 - 40.25 in Minnesota & North Carolina & Texas & Wisconsin
The listed salary range reflects base salary. Variable incentives may also be offered."
For the Scientist position: "The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level.
- United States of America: Hourly Salary USD 40.00 - 46.00 in Colorado // 40.00 - 46.00 in Massachusetts // 40.00 - 46.00 in California // 40.00 - 46.00 in Minnesota & North Carolina & Texas & Wisconsin
The listed salary range reflects base salary. Variable incentives may also be offered."

Information about employee benefits offered in the US can be found at https://myhperewards.com/main/new-hire-enrollment.html

The estimated job application period closure is May 25 2027; this timeline is provided for transparency and internal planning purposes.

HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.

Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.

HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

Recruitment Fraud Alert

We have become aware of an increase in fraudulent recruitment activities in which individuals impersonate our company or authorized recruitment agencies to offer fake employment opportunities. These scams may occur through false websites, emails, social media, or chat-based applications and often aim to obtain personal information or money. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge a candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. We also never request personal information such as back account details, Social Security numbers, or national IDs via social media or chat applications.

All legitimate job opportunities will come through official company channels, and candidates are responsible for verifying the credentials of any third party claiming to represent the company. Any reliance on fraudulent communication is at the individual's own risk, and HPE disclaims legal liability for any resulting damages. If you suspect recruitment fraud, do not share personal information or make any payments and report the incident to your local authorities immediately.

What Hewlett Packard Enterprise employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply