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Internship Political Data Science Jobs (NOW HIRING)

Evolver

Applied Data Science Intern

Palo Alto, CA

Applied Data Science Summer Internship About Us: Evolver is a rapidly growing enterprise AI company building advanced solutions for Fortune 500 organizations across finance, tax, risk, and audit. In ...

FocusKPI Inc.

Data Science Intern

Boston, MA · Remote

Data Science Intern Statistical Modeling & Marketing Measurement Remote | Internship | Full-time | 3 months About the Role We are looking for a curious and analytically minded Data Science Intern to ...

FocusKPI Inc.

Data Science Intern

Boston, MA · On-site +1

Data Science Intern Statistical Modeling & Marketing Measurement Remote | Internship | Full-time | 3 months About the Role We are looking for a curious and analytically minded Data Science Intern to ...

MHI

Data Science Internship (Governance)

Lake Mary, FL · On-site

Data Science Associate (Governance) Company Overview At Mitsubishi Power, we're not just building better clean energy technologies; we're architecting a better future. Our team is boldly redefining ...

Schonfeld

2027 Data Science Intern

New York, NY · On-site

$100K - $110K/yr

The Role We are excited to offer an internship opportunity for a talented student to join the data science team at Schonfeld. The data science team is responsible for creating Schonfeld's proprietary ...

Schonfeld

2027 Data Science Intern

New York, NY · On-site

$100K - $110K/yr

The Role We are excited to offer an internship opportunity for a talented student to join the data science team at Schonfeld. The data science team is responsible for creating Schonfeld's proprietary ...

NCSU

Lecturer of Data Science

Raleigh, NC · On-site

$4.0K/wk

The Data Science and AI Academy's goal is to network and catalyze data science across all three ... Data Internships Preparation for Social Impact * Exploring Machine Learning Appointments will be ...

NCSU

Lecturer of Data Science

Raleigh, NC

$4.0K/wk

The Data Science and AI Academy's goal is to network and catalyze data science across all three ... Data Internships Preparation for Social Impact * Exploring Machine Learning Appointments will be ...

US Venture, Inc.

Data Science Intern

Appleton, WI · On-site

Venture Data and Analytics team as a Data Science Intern for Summer 2027! U.S ... Venture's Internship Program runs May - August 2027. Dates may vary based on individual class ...

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Internship Political Data Science information

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How much do internship political data science jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for internship political data science 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 an internship in political data science?

An Internship in Political Data Science is a temporary, hands-on position where students or recent graduates work with data related to political science, campaigns, elections, or policy analysis. Interns typically assist with collecting, cleaning, and analyzing large datasets to uncover trends, inform strategies, or support research. This role often involves using statistical software, programming languages such as Python or R, and data visualization tools. Interns gain practical experience in applying data science methods to real-world political questions, while also learning about the intersection of technology and politics.

What can I expect in terms of collaboration and mentorship during a political data science internship?

During a Political Data Science internship, you will typically work closely with experienced data scientists, analysts, and sometimes campaign strategists. Most teams encourage interns to participate in regular meetings, share findings, and seek feedback on their work. Mentorship is a key component, with supervisors often providing guidance on project design, data analysis techniques, and best practices. You can expect to collaborate on real-world projects, such as voter modeling or sentiment analysis, while receiving support to help you develop both technical and professional skills.

What are the key skills and qualifications needed to thrive as an internship political data scientist, and why are they important?

To thrive as an Internship Political Data Scientist, you generally need a strong background in statistics, data analysis, and political science, often supported by coursework or a degree in related fields. Familiarity with statistical software (such as R or Python), data visualization tools, and databases is typically required. Strong analytical thinking, attention to detail, and effective communication skills help you interpret data and collaborate with diverse teams. These skills are important to accurately analyze political trends, inform strategic decisions, and present findings clearly to stakeholders.

What is the difference between Internship Political Data Science vs Political Data Analyst?

AspectInternship Political Data SciencePolitical Data Analyst
CredentialsTypically students or recent graduates; may require coursework in political science and data analysisBachelor's or master's in political science, statistics, or related fields; some roles prefer experience
Work EnvironmentInternship programs, often in government agencies, NGOs, or research firmsFull-time roles in government, political campaigns, or consulting firms
Industry UsageEntry-level, training-focused positions for skill developmentProfessional roles involving data analysis, reporting, and strategic insights

In summary, Internship Political Data Science positions are entry-level, training-focused roles ideal for students or recent graduates, while Political Data Analysts are full-time professionals with more experience conducting data analysis and providing strategic insights in political settings.

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Internship Political Data Science jobs near you
Infographic showing various Internship Political Data Science job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.

Applied Data Science Intern

Palo Alto, CA

Evolver
IT Services • 501 - 1,000 employees
Learn more about Evolverexternal

Full-time, Internship

Re-posted 22 days ago

Job description

Applied Data Science Summer Internship 

About Us:

Evolver is a rapidly growing enterprise AI company building advanced solutions for Fortune 500 organizations across finance, tax, risk, and audit. In just 1.5 years, the company has grown from 0 to nearly 100 employees, bringing together an exceptional team of technologists, researchers, and industry experts. Founders includes former executives from some of the world's top organizations, including the former Global CTO and Global Board Member of Ernst and Young and the former VP of AI from Microsoft, alongside senior leaders from other major global enterprises. The team includes multiple PhDs and a strong concentration of employees with advanced degrees from leading universities. This in-person internship offers a small cohort of students the opportunity to work directly alongside experienced operators and AI experts while gaining hands-on exposure to using the latest innovations in data science applications at a frontier startup environment.

Program Details:

Evolver is launching a small, highly selective summer internship cohort for students and emerging talent to gain hands-on experience applying data science techniques to enterprise datasets while learning to leverage and deploy AI systems for real-world Fortune 500 business use cases.

This is an intensive 10-week, full-time small cohort program designed to provide direct mentorship from experienced professionals in computer science, data science, artificial intelligence, and enterprise software deployment.

  • Duration: 10 weeks (full-time), June through Early August.
  • Competitive Compensation: Tailored to your experience and skill set.
  • Format: Hybrid (4+ days in person) - Based in Palo Alto, CA off University Ave
  • Cohort Size: Small and mentorship-focused
  • Learning Goals: Develop and apply AI-driven data science solutions on real-world datasets and workflows supporting Fortune 500 enterprise use cases.

Role Details:

Interns will contribute to real data innovation projects involving:

  • Data analysis and machine learning pipelines
  • AI agents, retrieval systems, and evaluation frameworks
  • Enterprise AI integration and deployment tooling
  • Product prototyping and applied research
  • Automation systems for large-scale organizational use
  • Real world enterprise use cases of graph theory
  • Gain direct exposure to Fortune 500 clients
  • Access enterprise-scale AI and data science initiatives through hands-on collaboration with internal teams and customer engagements.

Projects are oriented toward practical AI solutions deployed in enterprise and Fortune 500 environments.

Mentorship & Learning

Interns will work closely with experienced staff and technical mentors with expertise in:

  • Computer Science
  • Data Science & Analytics
  • Applied AI & Machine Learning
  • Enterprise Infrastructure
  • Scalable AI Deployment
  • Risk and Compliance Frameworks
  • Tax and Audit

The program is structured as a high-engagement cohort-based apprenticeship experience emphasizing:

  • Daily in person technical collaboration
  • Rapid learning and iteration
  • Exposure to real deployment challenges
  • Cross-disciplinary problem solving
  • Professional development in AI engineering and enterprise systems

Who Should Apply:

We welcome applications from:

  • Graduate students with a record of excellence
  • Exceptional advanced undergraduates

All candidates are required to be recommended by an accredited professor leading a relevant program at a top university. Will be verified during application process.

Strong candidates typically demonstrate:

  • Programming experience
  • Curiosity about AI systems and emerging technologies
  • Initiative, creativity, and strong problem-solving ability
  • Prior technical, research, or project experience

You do not need deep expertise in every area, we value intellectual curiosity, adaptability, and motivation to build.

Apply