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Internship Text Analytics Jobs in Washington (NOW HIRING)

Protagonist

Computational Social Scientist

Washington, DC · On-site

$70K - $102K/yr

... analytics project experience or relevant internships. * Hands-on experience working with text-as-data: media, social media, or open-source text corpora. * Working proficiency in Python and/or R, plus ...

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Internship Text Analytics information

What is an internship in text analytics?

An Internship in Text Analytics is a temporary position, often taken by students or recent graduates, where individuals gain practical experience working with techniques to extract meaningful information from large volumes of text data. Interns typically learn how to use natural language processing (NLP) tools, analyze textual datasets, and support projects involving sentiment analysis, topic modeling, or information retrieval. These internships provide hands-on exposure to real-world problems, allowing interns to develop their technical skills and understand how text analytics is applied in industries such as marketing, healthcare, or finance.

What types of projects can an intern expect to work on in a text analytics internship?

As a Text Analytics intern, you can expect to work on projects involving data cleaning, natural language processing, and sentiment analysis. Typical tasks may include extracting insights from large datasets, building or improving machine learning models, and visualizing textual data to support business decisions. Interns often collaborate closely with data scientists, engineers, and business analysts, gaining exposure to real-world applications and agile development environments. These projects provide hands-on experience with industry-standard tools and help you develop both technical and communication skills.

What are the key skills and qualifications needed to thrive as an internship in text analytics, and why are they important?

To thrive as a Text Analytics Intern, you need a solid background in data analysis, natural language processing (NLP), and statistics, often supported by coursework in computer science or a related field. Familiarity with programming languages like Python, machine learning libraries (such as NLTK or spaCy), and data visualization tools is typically required. Strong problem-solving skills, attention to detail, and effective communication help you interpret data and share insights clearly with teams. These skills are crucial for extracting meaningful information from text data and supporting data-driven decisions within the organization.

What is the difference between Internship Text Analytics vs Data Analyst Intern?

AspectInternship Text AnalyticsData Analyst Intern
Required SkillsText processing, NLP basics, data visualizationData analysis, Excel, SQL, basic statistics
Work EnvironmentTech companies, research labs, marketing firmsBusiness, finance, healthcare sectors
Common UsageAnalyzing unstructured text data, sentiment analysisInterpreting structured data, reporting

Internship Text Analytics focuses on analyzing unstructured text data using NLP techniques, while Data Analyst Interns work primarily with structured datasets and statistical tools. Both roles are common in tech and business environments, but they emphasize different data types and skills.

What are popular job titles related to Internship Text Analytics jobs in Washington?

For Internship Text Analytics jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Internship Text Analytics jobs in Washington look for?

The top searched job categories for Internship Text Analytics jobs in Washington are:

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Internship Text Analytics jobs near you

Product Research Internship - Summer 2027

College Park, MD

Immuta
Software Development • 201 - 500 employees
Learn more about Immutaexternal

$25 - $30/hr

Full-time, Temporary, Internship

Medical, Dental, Vision, PTO

Posted 4 days ago

Job description

Immuta is the Data Authorization Company, helping the world’s largest organizations control who, and what, can access their data.

The way enterprises access data is fundamentally changing. Organizations are racing to put data to work across analytics and AI, while AI copilots and agents are emerging as an entirely new class of data consumer. Traditional approaches built around tickets, static permissions, and manual approvals were not designed for this speed, scale, or complexity.

Immuta provides the authorization layer for modern data and AI. Our platform enables organizations to provision governed access to data by policy, by request, and dynamically for AI agents, so people and AI can access the data they need while enterprises maintain security, compliance, and control.

For Chief Data Officers, that means making enterprise data dramatically easier to access and use without giving up governance. For AI leaders, it means giving AI agents secure, governed access to enterprise data so they can move from experimentation into production.

Founded in 2015, Immuta is trusted by Fortune 500 companies and government agencies worldwide.

  • Our technology ecosystem includes Snowflake, Databricks, AWS, Microsoft Azure, Google Cloud, Okta, ServiceNow, Teradata, Alation, Atlan, and Starburst — connecting Immuta to the data, cloud, identity, and enterprise platforms powering modern data and AI environments.
  • Immuta has been recognized by Forbes as a top American startup employer, by Inc. Magazine and Built In as one of the best workplaces, and by Fast Company as one of the world’s most innovative companies.
  • Immuta has raised $263 million from investors including NightDragon, Snowflake, Databricks, ServiceNow, Citi Ventures, Dell Technologies Capital, DFJ Growth, IAG, Intel Capital, March Capital, Okta Ventures, StepStone, Ten Eleven Ventures, and Wipro Ventures.
  • We operate as a hybrid workplace with offices in Boston, MA; Columbus, OH; and College Park, MD.

ABOUT THE TEAM

The Product Research team sits at the intersection of theoretical computer science, applied mathematics, statistics, machine learning, and software engineering. The team turns research and algorithms into practical product capabilities that help organizations use data safely and effectively.

As a Product Research Intern, you’ll work with research scientists and collaborate with software engineers and other teammates. You’ll help explore how ideas developed in a controlled research setting can be tested, adapted, and applied in the messy, real-world environments where customers use Immuta. The work is research-oriented: you’ll go deep on a problem, understand how an approach works, and help move it from an idea into something practical.

YOUR INTERNSHIP

At Immuta, interns are treated like members of the team. You’ll join the team’s regular workflow, contribute to real work, and take on responsibilities that reflect your skills and the team’s priorities.

The exact projects will depend on what the team is working on next summer, but you can expect to:

  • Explore a set of potential research and product projects, then spend meaningful time developing one project related to the team’s work.
  • Work with research scientists to investigate approaches that could support Immuta product capabilities.
  • Translate mathematical, statistical, or computational ideas into prototypes, experiments, and functional software.
  • Apply research methods to practical problems involving data privacy, security, governance, machine learning, algorithms, or text analytics.
  • Evaluate approaches using data, experiments, measurements, and clear reasoning.
  • Collaborate with researchers, engineers, product teammates, and others to understand how research can become useful product work.
  • Communicate your process and findings through documentation, reports, presentations, and conversations with teammates.
TOOLS & TECHNOLOGIES

Depending on your role, you may work with:

  • Python
  • TypeScript
  • SQL and databases
  • Algorithms, statistics, and machine learning methods
  • Text analytics and classification approaches
  • APIs and application development workflows
  • Data analysis, experimentation, and measurement
  • AI-enabled tools and workflows used by your team
You do not need to know every tool listed above. We’re looking for a strong foundation, curiosity, and the ability to learn.
WHAT WE’RE LOOKING FOR
  • A strong foundation in computer science, mathematics, statistics, machine learning, or another quantitative field.
  • Experience with research, a substantial independent project, or working with a professor is a plus.
  • Programming experience and interest in applying technical skills to data and research problems.
  • Strong communication skills and the ability to explain your work clearly.
  • Curiosity, initiative, and interest in turning research into practical solutions.
To provide greater transparency to candidates, we share base pay ranges for all U.S.-based job postings. Our salary ranges are based on function, level, and geographic location, and are benchmarked for our company size and industry.
 
The final compensation package for this role will be determined during the interview process and is based on a variety of factors, including but not limited to, geographic location, internal equity, experience level, skill set, and training. The range shown above reflects the good-faith hiring range for this role at the time of posting, consistent with applicable state and local pay-transparency laws. Pay ranges may be adjusted in the future to reflect market changes.
At Immuta, our goal is to help bridge the gap between personal and professional growth, so that our team members can be well and thrive personally and professionally. After all, great professional success stories rarely happen without great personal success stories! Our generous benefits package given to all full time employees includes:
  • 100% employer paid Healthcare (Medical, Dental, Vision) premiums for you and your dependents (including Domestic Partners)
  • Stock Options
  • Paid parental leave (Both Maternity and Paternity)
  • Unlimited Paid time off (U.S. based positions)
  • Learning and Development Resources
 
EEO NOTICE: Immuta provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, national origin, marital status, age, disability (including disability due to pregnancy) or genetics, protected veteran status, or any other characteristic protected by law. Immuta complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment.
 
NOTICE TO THIRD PARTY RECRUITERS: Immuta does not accept candidates from third party recruiters. All candidates submitted through are considered to be submissions by the candidate and no submission will obligate Immuta to pay any third party for the referral or hiring of a candidate.
 
AI NOTICE: As part of our hiring process, Immuta may use artificial intelligence (AI) tools to support recruiting activities, such as application review and interview coordination. These tools assist our recruiting team but do not replace human decision-making. To protect the privacy of all participants and the confidentiality of Immuta information discussed during interviews, candidates may not use external recording tools, AI meeting assistants, or third-party transcription platforms during interviews unless approved in advance by Immuta. If you require an accessibility accommodation or assistance during the interview process, please contact us in advance so we can support your needs appropriately. For more information on how we process your personal data, please visit our Privacy Notice for Job Applicants.

AI NOTICE: As part of our hiring process, Immuta may use artificial intelligence (AI) tools to support recruiting activities, such as application review and interview coordination. These tools assist our recruiting team but do not replace human decision-making.To protect the privacy of all participants and the confidentiality of Immuta information discussed during interviews, candidates may not use external recording tools, AI meeting assistants, or third-party transcription platforms during interviews unless approved in advance by Immuta.If you require an accessibility accommodation or assistance during the interview process, please contact us in advance so we can support your needs appropriately.For more information on how we process your personal data, please visit our Privacy Notice for Job Applicants.