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Internship Data Classification Jobs (NOW HIRING)

Sellers & Associates

JR. Data Scientist

Chesapeake, VA · On-site

$80K - $84K/yr

... classification models, predictive analytics, and workflow automation features * Assist senior staff ... Experience with data analysis, visualization, or low code development (academic, internship, or ...

US AI

Sr. Data Scientist

Rockville, MD · On-site

$150K - $200K/yr

Demonstrated expertise gained through relevant internships, coursework, and personal projects that ... Deep understanding of predictive modeling, machine-learning, clustering and classification ...

Accelint

Data Scientist

Saint Paul, MN · On-site

$105K - $126K/yr

... internship experience, or equivalent hands-on industry experience may be considered in lieu of ... as classification, regression, clustering, anomaly detection, and recommendation systems

Walmart

Staff, Data Scientist

Bentonville, AR · On-site

Mentor team members and interns, offering guidance on research methods, problem-solving, and career ... The amount you receive depends on your job classification and length of employment. It will meet or ...

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How much do internship data classification jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for internship data classification in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

What is the difference between Internship Data Classification vs Data Analyst?

AspectInternship Data ClassificationData Analyst
Required CredentialsTypically pursuing or recent graduate, some knowledge of data conceptsBachelor's degree in data-related field, some roles require certifications
Work EnvironmentInternship setting, entry-level tasks, supervisedFull-time, professional environment, independent analysis
Employer & Industry UsageInternship programs in tech, finance, healthcareAcross industries, including tech, finance, marketing
Search & Comparison IntentLearning about entry-level data roles, internshipsUnderstanding data analysis careers, job requirements

Internship Data Classification is an entry-level, supervised role focused on learning data categorization tasks during an internship. In contrast, a Data Analyst is a full-time professional responsible for analyzing data to inform business decisions. While both roles involve working with data, internships are designed for skill development, whereas data analysts perform independent, ongoing analysis in a professional setting.

What cities are hiring for Internship Data Classification jobs? Cities with the most Internship Data Classification job openings:
What are the most commonly searched types of Data Classification jobs? The most popular types of Data Classification jobs are:
What states have the most Internship Data Classification jobs? States with the most job openings for Internship Data Classification jobs include:
Internship Data Classification jobs near you
Product Management, Emerging Talent Intern (Fall)

Product Management, Emerging Talent Intern (Fall)

Metropolitan Transportation Authority

New York, NY • On-site

$21/hr

Internship

Re-posted 14 days ago

Metropolitan Transportation Authority rating

7.5

Company rating: 7.5 out of 10

Based on 134 frontline employees who took The Breakroom Quiz

41st of 77 rated public transport

Job description

Description
Position at MTA Headquarters
Department: MTA Data Analytics
Location: 2 Broadway, New York, NY 10004
Position Title: Product Management, Emerging Talent Intern
Hourly Rate: $21.00 (Graduate)
All internship positions are onsite and require regular, in-person attendance at the designated work location.
OVERVIEW OF DEPARTMENT:
The MTA Data & Analytics (D&A) team supports data-driven decision-making across the MTA enterprise. The team builds and maintains the MTA data lake, including its data pipelines, datasets, dashboards, and public-facing products that surface operational and performance insights for MTA leadership, partner agencies, policymakers, and the public. Projects for D&A span transit operations, capital programs, open data, and vendor integrations.
The intern will support the product management function within the Data & Analytics team, helping translate business needs into well-defined project requirements and tracking delivery across active initiatives. They will work closely with data engineers, analysts, and external stakeholders to document scope, maintain project artifacts, and move work forward across the team's portfolio. This is a hands-on role that will give the intern direct exposure to how a data team operates inside a large public agency.
RESPONSIBILITIES:
  • Draft and maintain project charters for new and active D&A initiatives.
  • Write Jira epics, stories, and tasks based on stakeholder requirements and team discussions.
  • Coordinate with internal and external stakeholders to track data access requests and deliverables.
  • Support documentation for data classification and governance.
  • Attend and take notes in stakeholder and vendor meetings, following up on action items.
  • Review and triage incoming project requests, gathering missing context before escalating.
  • Assist in preparing materials for leadership reviews of the team's project portfolio.
  • Support QA of delivered data products by comparing outputs against documented requirements.

PROJECTS:
  • Support the scoping and requirements documentation for the rebuild of MTA's external metrics site, including stakeholder coordination and work planning within the D&A team.
  • Support the planning and implementation of MTA-wide data community meetings and tutorials to upskill data users.
  • Maintain and improve the team's project tracking infrastructure in Jira, including drafting epics and tickets, ensuring statuses are current, and producing a summary of open work for team leadership.

REQUIRED QUALIFICATIONS:
  • Proficiency in Microsoft Office Suite is a must.
  • The candidate should possess organizational, analytical and communication skills.
  • The candidate should be able to work well under pressure and prioritize tasks effectively.
  • The candidate should have a keen eye for detail and be able to work independently while being an active team player.

REQUIRED EDUCATION:
  • Matriculated in aa graduate program in good standing with at least 2.8 GPA
  • Major(s) Preferred: Computer Science (with interest in non-engineering roles), Information Systems, Data or Business Analytics, or related field.

All applicants must be authorized to work in the United States at the time of application. Students' transcript must be submitted.
Equal Employment Opportunity
MTA and its subsidiary and affiliated agencies are Equal Opportunity Employers, including with respect to veteran status and individuals with disabilities. The MTA encourages qualified applicants from diverse backgrounds, experiences, and abilities, including military service members, to apply.

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