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Internship Text Analytics Jobs in Virginia (NOW HIRING)

Data Engineer with Security Clearance

Chantilly, VA · On-site

$118K - $142K/yr

... internships may be considered) * Proficiency in programming languages such as Python or R ... Time-series analysis * NLP/text analytics * Cloud platforms (AWS GovCloud) * Containerization ...

Data Engineer

Chantilly, VA · On-site

$150K - $181K/yr

... internships may be considered) * Proficiency in programming languages such as Python or R ... Time-series analysis * NLP/text analytics * Cloud platforms (AWS GovCloud) * Containerization ...

... internships may be considered) * Proficiency in programming languages such as Python or R ... Time-series analysis * NLP/text analytics * Cloud platforms (AWS GovCloud) * Containerization ...

$13.25 - $17.75/hr

... text involving the sexual exploitation of children, the internship candidate will meet with a ... analysts to draft success stories for dissemination which may also include preparing PowerPoint ...

Child sexual abuse material (CSAM) includes images, videos, and text describing child sexual ... Minimum of two years' work and/or internship experience preferred. * An equivalent combination of ...

Internship Text Analytics information

What are the key skills and qualifications needed to thrive as an Internship 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 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 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 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 cities in Virginia are hiring for Internship Text Analytics jobs? Cities in Virginia with the most Internship Text Analytics job openings:
Infographic showing various Internship Text Analytics job openings in Virginia as of July 2026, with employment types broken down into 1% Internship, 93% Full Time, 3% Part Time, and 3% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution.
Data Engineer with Security Clearance

Data Engineer with Security Clearance

KBR

Chantilly, VA • On-site

$118K - $142K/yr

Other

Re-posted yesterday


KBR rating

8.3

Company rating: 8.3 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

103rd of 368 rated engineering


Job description

Title:
Data Engineer The Data Scientist supports advanced analytics and data-driven decision-making for Space and Counterspace intelligence missions. This role focuses on developing models, algorithms, and analytical tools to extract insights from large, complex, and multi-source datasets related to space domain awareness and adversary capabilities. The position involves working with both structured and unstructured data to identify patterns, anomalies, and emerging threats. The Data Scientist collaborates with analysts, engineers, and mission partners to translate intelligence questions into scalable analytic solutions. This role operates in a classified environment supporting national security objectives with cutting-edge data science techniques. Roles and Responsibilities * Develop and implement statistical models, machine learning algorithms, and data analysis workflows to support mission objectives
* Analyze large, complex datasets from multiple intelligence sources to identify trends, anomalies, and actionable insights
* Build and maintain data pipelines, data transformation processes, and analytic tools
* Support integration of disparate data systems to enable comprehensive analysis across domains
* Develop visualizations, dashboards, and reporting tools to communicate analytic findings
* Apply data mining, predictive analytics, and pattern recognition techniques to space and counterspace problems
* Collaborate with engineers and analysts to refine requirements and operationalize data science solutions
* Document methodologies, models, and processes for reproducibility and mission continuity
* Ensure compliance with security, data governance, and classified environment requirements
* Perform code review and software quality testing
* Review and utilize RESTful APIs for data access
* Apply software design patterns, code review practices, and unit/integration testing
* Build and maintain CI/CD pipelines for data infrastructure
* Contribute to infrastructure-as-code (Terraform, Ansible) Basic Qualifications * Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field
* Experience in data science, analytics, or a related technical discipline (academic research and internships may be considered)
* Proficiency in programming languages such as Python or R
* Experience with data analysis libraries and tools (e.g., Pandas, NumPy, SciPy, or similar)
* Active Top Secret/SCI security clearance With Polygraph
* Strong software development background (Python, R, Java)
* Experience with containerization and orchestration (Docker, Kubernetes)
* Familiarity with software development lifecycle (SDLC) practices
* API design and development experience
* Test-driven development or equivalent quality practices Preferred Qualifications * Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, or Scikit-learn)
* Familiarity with big data platforms and tools (e.g., Hadoop, Spark, or distributed computing environments)
* Exposure to geospatial analytics, space domain awareness, or intelligence-related datasets
* Astrodynamics or orbital mechanics familiarity (or experience with STK)
* Time-series analysis
* NLP/text analytics
* Cloud platforms (AWS GovCloud)
* Containerization (Docker, Kubernetes)
* CI/CD and DevSecOps experience
* Experience with IC data environments or tools
* Experience transitioning prototype models to operational production pipelines Belong, Connect and Grow at KBR At KBR, we are passionate about our people and our Zero Harm culture. These inform all that we do and are at the heart of our commitment to, and ongoing journey toward being a People First company. That commitment is central to our team of team's philosophy and fosters an environment where everyone can Belong, Connect and Grow. We Deliver - Together. KBR is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, sex, sexual orientation, gender identity or expression, age, national origin, veteran status, genetic information, union status and/or beliefs, or any other characteristic protected by federal, state, or local law.

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About KBR

Sourced by ZipRecruiter

At KBR, we partner with government and industry clients to provide purposeful and comprehensive solutions with an emphasis on efficiency and safety. With a full portfolio of services, proprietary technologies and expertise, our employees are ready to handle projects and missions from planning and design to sustainability and maintenance. Whether at the bottom of the ocean or in outer space, our clients trust us to deliver the impossible on a daily basis.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Houston, TX, US

Year founded

1998