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Internship Natural Language Processing Intern Jobs in Silver Spring, MD

Amentum

Healthcare (HC) Data Analyst

Bethesda, MD · On-site

Leads structuring data, natural language processing, database technologies, and machine learning algorithms. * Ability to translate complex, technical, or analytic findings into an easily understood ...

SAIC

Data Scientist

Mclean, VA · On-site +1

$200K - $240K/yr

Conduct sophisticated analysis using deployed tools and natural language processing (NLP). * Analyze large amounts of raw data, including text data, to provide business insights. * Preprocess or ...

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Internship Natural Language Processing Intern information

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$9

$17

$24

How much do internship natural language processing intern jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for internship natural language processing intern in Silver Spring, MD is $17.89, according to ZipRecruiter salary data. Most workers in this role earn between $14.90 and $19.90 per hour, depending on experience, location, and employer.

What is the difference between Internship Natural Language Processing Intern vs Data Science Intern?

AspectInternship Natural Language Processing InternData Science Intern
Required CredentialsRelevant coursework in NLP, computer science, or linguistics; basic programming skillsBackground in statistics, mathematics, or computer science; programming skills
Work EnvironmentResearch-focused, often in AI or NLP teams within tech companies or research labsData analysis, modeling, and visualization tasks in tech, finance, or consulting firms
Employer & Industry UsageCommon in AI startups, tech giants, and research institutionsWidely used across tech, finance, healthcare, and consulting industries

Both roles are internship positions requiring programming skills and relevant coursework. NLP Interns focus specifically on language processing tasks, while Data Science Interns work on broader data analysis and modeling projects. The choice depends on your interest in language technologies versus general data analysis.

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Healthcare (HC) Data Analyst

Healthcare (HC) Data Analyst

Amentum

Bethesda, MD • On-site

Full-time

Re-posted 2 days ago

Job description

Amentum provides a range of Department of Defense, Intelligence Community, and Commercial analytic and operational support, risk analysis, analytic outreach, red teaming, and event support services. We pride ourselves in developing creative, customized, and flexible approaches that meet our clients' evolving and dynamic needs.
Amentum is seeking a Human Capital Data Analyst - Senior. This position is to build a pipeline for future work and is not a live opening.
The following categories shall pose the necessary skills and disciplines to assist the varying tasks. Responsibilities and duties listed below are not mutually exclusive.
Desired Knowledge, Skills and Abilities:
  • Provides Data Analytic support for HC surveys (eg Lime Survey) and data calls
  • Leads structuring data, natural language processing, database technologies, and machine learning algorithms.
  • Ability to translate complex, technical, or analytic findings into an easily understood narrative - tell a story with the data in graphical, verbal, or written form.
  • Uses analytical software to support quantitative and analytic efforts and workforce planning, including engagement with the Intelligence Community.
  • Coordinates within government and across the IC for survey data
  • Uses data tools such as Python, conduct R analysis, SPSS, display results via Tableau
  • Interfaces with government stakeholders within HC, HRM), 18 IC Agencies CHCOs, other task order PMs and DEIA Lead

Required Skills and Abilities:
  • TS/SCI security clearance is required.
  • Senior level experience with HR-related Data Analytics, to include support for HC surveys (eg Lime Survey) and data calls, structuring data, natural language processing, database technologies, and machine learning algorithms.
  • Ability to translate complex, technical, or analytic findings into an easily understood narrative - tell a story with the data in graphical, verbal, or written form.
  • Uses analytical software to support quantitative and analytic efforts and workforce planning, including engagement with the Intelligence Community.
  • Highly proficient with data tools such as Python, conduct R analysis, SPSS, display results via Tableau.
  • Excellent oral and written communications skills and expertise with MS Office tool suite.

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