1

Data Research Intern Jobs in Texas (NOW HIRING)

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Large scale machine learning experience working with terabytes of data * Implemented custom ...

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Large scale machine learning experience working with terabytes of data * Implemented custom ...

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Large scale machine learning experience working with terabytes of data * Implemented custom ...

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Large scale machine learning experience working with terabytes of data * Implemented custom ...

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Large scale machine learning experience working with terabytes of data * Implemented custom ...

Showing results 41-60

Data Research Intern information

See Texas salary details

$11

$20

$39

How much do data research intern jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for data research intern in Texas is $20.97, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $22.84 per hour, depending on experience, location, and employer.

What does a data research intern do?

A Data Research Intern assists in collecting, analyzing, and interpreting data to help organizations make informed decisions. Their responsibilities often include cleaning data sets, conducting literature reviews, supporting research projects, and preparing reports or presentations based on their findings. Interns may also use tools like Excel, Python, or R to process data and gain insights. This role provides hands-on experience in both quantitative and qualitative research methods and often serves as a foundation for a career in data analysis or research.

What types of projects and tasks can a data research intern expect to work on during their internship?

As a Data Research Intern, you can expect to be involved in a variety of projects, such as gathering and cleaning large datasets, conducting exploratory data analysis, and supporting senior analysts with research tasks. You may help design surveys, scrape data from public sources, or assist in building dashboards and reports. Collaboration is common, as you'll often work closely with data scientists, business analysts, and other interns to solve real-world business problems. This hands-on experience provides valuable exposure to industry-standard tools and workflows, helping you build practical skills for a future career in data.

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

To thrive as a Data Research Intern, you need strong analytical skills, attention to detail, and a foundational understanding of statistics and research methodologies, typically gained through coursework in data science, mathematics, or a related field. Familiarity with data analysis tools such as Excel, Python, R, and experience with databases or visualization platforms like Tableau is highly valuable. Curiosity, effective communication, and problem-solving abilities help interns stand out when interpreting data and presenting findings. These skills are crucial for accurately collecting, analyzing, and conveying insights that support organizational decision-making.

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

AspectData Research InternData Analyst
Required CredentialsTypically pursuing or recent graduate in related fieldBachelor's or higher in data-related field, some roles prefer certifications
Work EnvironmentInternship setting, often in research or academic projectsFull-time or part-time in corporate, tech, or consulting firms
Employer & Industry UsageResearch institutions, universities, tech startupsBusinesses across industries, including finance, marketing, tech
Search & Comparison IntentUnderstanding entry-level research roles, internshipsAnalyzing data roles, career progression

While both roles involve working with data, a Data Research Intern typically focuses on assisting with research projects and gaining experience, often as a student or recent graduate. A Data Analyst usually handles data analysis tasks in a professional setting, making data-driven decisions for organizations. The roles differ mainly in experience level, scope, and employment setting.

What are the most commonly searched types of Data Research jobs in Texas?

The most popular types of Data Research jobs in Texas are:

What cities in Texas are hiring for Data Research Intern jobs?

Cities in Texas with the most Data Research Intern job openings:

Quantitative Research Intern, PhD (Summer 2027)

Optiver

Austin, TX โ€ข On-site

Full-time, Temporary, Internship

Re-posted 5 days ago


Job description

As a Quantitative Research Intern, you'll work alongside researchers, engineers, and traders to tackle some of the most challenging quantitative problems in global financial markets. You'll analyze large-scale datasets, develop predictive models and algorithms, and apply statistical and machine learning techniques to uncover patterns in market behavior. AI-driven research at Optiver is where competitive advantage is built, transforming ideas, models, and insights into trading strategies that operate in live markets.
This opportunity is also available in our Chicago office.
What You'll Do:
Led by our dedicated Education team, you'll build a strong foundation in market structure and options theory. This internship follows an apprentice-style learning model where you'll work alongside an experienced researcher and contribute to a project that's aligned with current business needs. Throughout the internship, you'll gain exposure to the AI tools and technologies that support research and development across the business, with the opportunity to contribute to several key areas:
  • Develop predictive models and machine learning systems to better understand market behavior and identify trading opportunities
  • Analyze large-scale market and order-flow data to uncover signals, evaluate hypotheses, and improve trading performance
  • Build and test statistical and stochastic models for pricing, forecasting, and risk management
  • Apply modern research techniques, including deep learning and AI-enabled workflows, to accelerate discovery and improve research efficiency

What You'll Get:
You'll join a culture of collaboration, continuous improvement, and excellence, surrounded by curious thinkers and creative problem-solvers. Together, you'll tackle some of the toughest challenges in the financial markets by leveraging cutting-edge machine learning research to develop innovative, real-world solutions.
In addition, you'll receive:
  • The opportunity to work alongside best-in-class professionals from over 40 different countries
  • The opportunity to earn a return internship or full-time offer in Chicago, Austin, or New York City based on performance
  • A highly-competitive internship compensation package
  • Optiver-covered flights, living accommodations, and commuting stipends
  • Extensive office perks, including breakfast, lunch, snacks, regular social events, clubs, sporting leagues, and more

What To Expect:
As part of our assessment process, you may be invited to participate in a multi-day, on-site evaluative program. Through hands-on workshops, technical discussions, and direct exposure to our researchers and traders, you'll gain insight into how research is applied at Optiver and how PhD students transition successfully into industry. Attendance and successful completion of this program may be required to receive an internship offer.
Who You Are:
  • Currently enrolled in a PhD program in Statistics, Computer Science, Machine Learning, Mathematics, or a related STEM field with outstanding academic performance
  • Expected graduation between December 2027 - June 2029 and available to intern during Summer 2027
  • Open to full-time opportunities upon graduation in 2028 or 2029
  • Solid foundation in mathematics, probability, and statistics
  • Excellent research, analytical, and modeling skills
  • Experience applying machine learning methods to real-world research problems, such as time-series analysis, prediction, forecasting, pattern recognition, optimization, or decision-making
  • Proficiency in any programming language
  • Strong interest in working in a fast-paced, collaborative environment
  • Fluent in English with strong written and verbal communication skills

Who We Are:
Optiver is a leading technology- and research-driven trading firm. Our teams of scientists, engineers, mathematicians, and traders work side by side to develop, test, and scale ideas that shape how we understand and trade global markets. Powered by a global platform built for rapid experimentation and iteration, we combine the scientific rigor of a research institution with the pace of a technology company.
Our differences are our edge. Optiver does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, or other legally protected characteristics.
Optiver is supportive of US immigration sponsorship for this role.
*Optiver has a global application re-apply policy for our intern and graduate roles. If you have completed an online assessment or interviewed for a quantitative graduate or internship role at any Optiver location in the past 8 months, please note that you are not yet eligible to reapply. We welcome you to re-apply to after the 8-month cool off period.