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Entry Level Computational Linguistics Intern Jobs in Silver Spring, MD

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Entry Level Computational Linguistics Intern information

What does an entry level computational linguistics intern do?

An Entry Level Computational Linguistics Intern assists in developing and evaluating language technologies such as speech recognition, text analysis, and machine translation. They typically work with large datasets, annotate linguistic data, and help test natural language processing models. The role often involves collaborating with experienced linguists and engineers to improve language-based AI systems. Interns gain hands-on experience with tools and programming languages commonly used in computational linguistics, such as Python and NLP libraries.

What are the key skills and qualifications needed to thrive as an entry level computational linguistics intern, and why are they important?

To thrive as an Entry Level Computational Linguistics Intern, you need a solid background in linguistics and programming, often supported by coursework in natural language processing (NLP) or computational linguistics. Familiarity with Python, NLP libraries (such as NLTK or spaCy), and version control systems like Git is typically required. Strong analytical thinking, attention to detail, and effective communication make candidates stand out in collaborative research and development settings. These skills and qualities are crucial for contributing to innovative language technology projects and ensuring accurate, impactful results in the field.

What types of projects do entry level computational linguistics interns typically work on, and how do they contribute to larger team goals?

As an Entry Level Computational Linguistics Intern, you’ll often assist in annotating linguistic data, developing or refining natural language processing models, and testing language technologies. These projects usually support larger initiatives such as improving speech recognition, text analysis, or machine translation systems. Interns collaborate closely with data scientists, software engineers, and senior linguists, gaining exposure to the full development cycle while contributing valuable insights and feedback. This hands-on involvement not only deepens your technical skills but also helps you understand how your work impacts end-user applications.

What is the difference between Entry Level Computational Linguistics Intern vs Data Analyst Intern?

AspectEntry Level Computational Linguistics InternData Analyst Intern
Required CredentialsBachelor's in Linguistics, Computer Science, or related fieldBachelor's in Statistics, Mathematics, or related field
Work EnvironmentResearch labs, tech companies, AI startupsBusiness, finance, tech companies
Industry UsageNatural language processing, AI, machine learningData analysis, reporting, business insights
Common Search/ComparisonYesNo

The Entry Level Computational Linguistics Intern typically focuses on language data, NLP projects, and AI applications, requiring skills in linguistics and programming. In contrast, a Data Analyst Intern works with numerical data, reports, and business insights, often requiring statistical knowledge. While both roles are entry-level and involve data analysis, their focus areas and skill sets differ significantly.

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For Entry Level Computational Linguistics Intern jobs in Silver Spring, MD, the most frequently searched job titles are:

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The top searched job categories for Entry Level Computational Linguistics Intern jobs in Silver Spring, MD are:

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Cities near Silver Spring, MD with the most Entry Level Computational Linguistics Intern job openings:

Entry Level Computational Linguistics Intern jobs near you
Infographic showing various Entry Level Computational Linguistics Intern job openings in Silver Spring, MD as of August 2026, with employment types broken down into 89% Full Time, and 11% Temporary. Highlights an 85% In-person, and 15% Remote job distribution.

Deals - DTDS - Analytics Intern - Summer 2027

PRICEWATERHOUSECOOPERS CORPORATE FINANCE LLC

Washington, DC • On-site

$29.25 - $48/hr

Full-time

Posted 6 days ago

Key responsibilities

  • Supporting teams in data analysis projects to gain exposure to PwC's practices and methodologies

  • Participating in the development of data-driven insights to assist clients in achieving sustainable growth

  • Assisting in the creation of dashboards to represent key performance indicators and business metrics

Job description

Industry/Sector

Not Applicable

Specialism

Deals

Management Level

Intern/Trainee

Job Description & Summary

The Opportunity
As a Deals - DTDS - Analytics Intern, you will immerse yourself in the dynamic world of data and analytics, contributing to client support initiatives within our Advisory practice. You will engage in data analysis tasks, leveraging your skills to support strategic decision-making and drive innovation. As an Intern, you will focus on learning and gaining exposure to PwC's methodologies, supporting teams with basic tasks, and participating in projects that enhance your understanding of data-driven insights. This role emphasizes the importance of adopting a learning mindset, appreciating diverse perspectives, and actively listening to enhance your development.
In this role at PwC, you will have the opportunity to work within our Advisory practice, where you will be involved in analyzing data to uncover patterns and trends that inform business strategies. You will be encouraged to ask questions, take initiative, and produce quality work that adds value for our clients. Your contributions will be integral to the team's success, and you will start to establish your personal brand, paving the way for future opportunities. This position offers a unique chance to develop your skills in data analysis and gain valuable experience in a professional environment.
Responsibilities
- Supporting teams in data analysis projects to gain exposure to PwC's practices and methodologies
- Participating in the development of data-driven insights to assist clients in achieving sustainable growth
- Conducting research and gathering information to enhance understanding of complex data sets
- Utilizing tools like Alteryx and Power BI to automate analytics processes and create visualizations
- Engaging in algorithm development to translate business problems into computational solutions
- Assisting in the creation of dashboards to represent key performance indicators and business metrics
- Applying data mining techniques to identify patterns and trends within large data sets
- Collaborating with team members to integrate data from various sources for unified analysis
- Observing and learning from experienced professionals to develop personal brand and commercial awareness
What You Must Have
- Currently pursuing or have completed a Bachelor's degree
- Client service intern positions are entry-level and job seekers are traditionally either in their 3rd year of a 4 year degree program or in the 4th year of a 5 year program. Client service interns typically join us during the winter/spring or summer prior to their intended graduation year
What Sets You Apart
- Preference for at least one of the following fields of study: Business Analytics, Computer Information System, Computer Programming, Data Processing/Analytics/Science, Industrial & System Engineering, Industrial and Operations Engineering, Industrial Engineering, Informatics, Information Science, Information System, Information Technology, Management Information Systems
- Preferred cumulative GPA: 3.3
- Preferred major GPA: 3.3
- Leveraging AI to create efficiencies, innovate ways of working and deliver distinctive outcomes
- Supporting teams with data-driven insights and analytics solutions
- Participating in cloud platform design and data architecture projects
- Observing and learning from experienced data analysts and AI specialists
- Applying a learning mindset to develop skills in data analysis and AI

Travel Requirements

Up to 80%

Job Posting End Date

September 26, 2026The salary range for this position is: $29.25 - $48.00. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws.As PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

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