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Internship Text Analytics Jobs (NOW HIRING)

... text analytics, algorithms, and numerical optimization, along with specialties such as machine ... internships Preferred or Specialized * Experience in an agile environment strongly preferred ...

... text analytics, algorithms, and numerical optimization, along with specialties such as machine ... internships Preferred or Specialized * Experience in an agile environment strongly preferred ...

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 ...

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

... text analytics and AI-driven features. You will work closely with senior engineers to learn how to ... internships or projects). * Proficiency in Java (our core analytics language) or Python (for AI/ML ...

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Internship Text Analytics information

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How much do internship text analytics jobs pay per hour?

As of Jul 31, 2026, the average hourly pay for internship text analytics in the United States is $17.31, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

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.
More about Internship Text Analytics jobs
What cities are hiring for Internship Text Analytics jobs? Cities with the most Internship Text Analytics job openings:
What are the most commonly searched types of Text Analytics jobs? The most popular types of Text Analytics jobs are:
What states have the most Internship Text Analytics jobs? States with the most job openings for Internship Text Analytics jobs include:
Infographic showing various Internship Text Analytics job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, 3% Part Time, and 2% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $35,995 per year, or $17.3 per hour.

Product Manager- Unstructured Data- Enterprise Data

Bloomberg LP

New York, NY • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago


Bloomberg rating

9.4

Company rating: 9.4 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

12th of 241 rated software companies


Job description

Product Manager- Unstructured Data- Enterprise Data
Location
New York
Business Area
Product
Ref #
10052218
Description & Requirements
Enterprise Data at Bloomberg provides machine-readable feeds of news and other unstructured content, as well as AI-powered analytics, including sentiment and more. Text is at the core of what we do today, with audio, imagery, and video increasingly in scope. Our client base includes major hedge funds, asset managers, and investment banks, typically using our feeds and analytics for low latency and intraday trading, market making, quantitative investing, and risk.
What's the role?
We're looking for a charismatic Product Manager to join a growing team of technologists to help drive and execute on product development across our unstructured datasets. You'll bring with you a few years working in a financial or technology firm in the machine learning/quantitative trading domain, along with some programming and data management skills. You'll work alongside seasoned industry professionals, gaining personal development whilst contributing your strong technical skills and a positive, can-do attitude.
We'll trust you to:
• Understand client needs, identify improvements and new use cases
• Contribute to defining product development plans across text and other unstructured datasets
• Drive engineering resources and execute planned development initiatives
• Evaluate new unstructured data sources and assess their quality, coverage, and product potential
• Create and update portfolios of client-facing technical documentation
• Design protocols and tools to facilitate comprehensive product quality checks
• Provide quantitative research to support client testing and onboarding
• Serve as subject matter expert in client discussions, sales meetings, industry events
You'll need to have:
• Bachelor's or graduate degree in business, finance, or engineering-related field
• 5+ years' work experience in a financial or technology company
• Hands-on experience working with unstructured text data - for example NLP, text analytics, large news or document corpora, or LLM-based pipelines
• Knowledge of Python or SQL. Understanding of how ETL pipelines work a plus.
• Understanding of data structures, algorithms, machine learning, quantitative trading.
• Good written and verbal communication skills.
• Sense of humor a plus.
We'd love to see:
• Experience with non-text unstructured data: audio or speech, imagery, or video
• Familiarity with multimodal machine learning, embeddings, or modern foundation models
• Experience building or evaluating data labeling, annotation, or quality pipelines at scale
Salary Range = 140,000 - 295,000 USD Annual + Benefits + Bonus
The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.
We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
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About Bloomberg

Sourced by ZipRecruiter

Bloomberg runs on data. As the Data Management & Analytics team within Engineering, we support our organization's needs around managing data efficiently. The vision of the team is to build solutions that drive data quality, data dictionary, data stewardship, data lineage, reference, and master data management across various data domains (prospect, customer, vendor, material etc.). We partner with business teams across the organization in addressing their data needs and ultimately helping run business operations efficiently and make improved decisions.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1981