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Intern Data Science Insurance Jobs (NOW HIRING)

IBM

Currently pursuing a Bachelor's degree in Computer Science, Data Science, Information Systems ... Job Title Intern Data Engineers - AI & Analytics - 2027 Date posted 14-Aug-2026 Job ID 128821 City ...

Synchrony

BLP Intern - Data Analytics

Stamford, CT

... leveraging data science to develop cutting-edge machine learning models to predict customer ... You must be able to satisfy the requirements of Section 19 of the Federal Deposit Insurance Act.

Evolver

Applied Data Science Intern

Palo Alto, CA · On-site

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 ...

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How much do intern data science insurance jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for intern data science insurance 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 does an intern data science insurance do?

An Intern Data Science Insurance assists data scientists and analysts in the insurance industry by collecting, cleaning, and analyzing data to help solve business problems. Their tasks often include working with large datasets, building predictive models, and creating visualizations to support risk assessment, fraud detection, and pricing strategies. They also collaborate with other departments to understand insurance processes and contribute to the development of data-driven solutions. This role offers hands-on experience with industry tools and methodologies, preparing interns for a career in data science within the insurance sector.

What types of projects can an intern data science expect to work on within the insurance industry?

As a Data Science Intern in the insurance sector, you can expect to work on projects such as analyzing customer data to identify risk factors, developing predictive models for claims, or assisting in the automation of underwriting processes. These projects often involve collaboration with actuarial, underwriting, and IT teams, providing interns with exposure to different facets of the business. You'll likely use tools like Python, R, and SQL while working with real datasets, and your contributions may directly impact decision-making and operational efficiency. This hands-on experience is valuable for understanding the practical applications of data science in a highly regulated and data-driven industry.

What are the key skills and qualifications needed to thrive as an intern data science insurance, and why are they important?

To thrive as an Intern Data Science in Insurance, you need foundational knowledge in statistics, data analysis, and programming (often with Python or R), typically supported by coursework in data science or related fields. Familiarity with data visualization tools (such as Tableau or Power BI), SQL databases, and machine learning libraries is often expected. Strong analytical thinking, attention to detail, and effective communication help you interpret data insights and collaborate with cross-functional teams. These skills are crucial for extracting actionable insights from complex insurance data and supporting data-driven decision-making within the industry.
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Intern Data Science Insurance jobs near you
Infographic showing various Intern Data Science Insurance job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 21% Part Time, and 5% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.

Data Science and Advanced Analytics Intern

AARP

Washington, DC • On-site

$28/hr

Internship

Re-posted 19 days ago

AARP rating

7.9

Company rating: 7.9 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

143rd of 781 rated non-profit organizations

Job description

Overview
AARP is the nation's largest nonprofit, nonpartisan organization dedicated to empowering people 50 and older to choose how they live as they age. With a nationwide presence, AARP strengthens communities and advocates for what matters most to the more than 100 million Americans 50-plus and their families: health and financial security, and personal fulfillment. AARP also works for individuals in the marketplace by sparking new solutions and allowing carefully chosen, high-quality products and services to carry the AARP name. As a trusted source for news and information, AARP produces the nation's largest-circulation publications, AARP The Magazine and the AARP Bulletin.
Data & Analytics leverages business intelligence gained through advanced data analytics in order to maximize AARP's marketing and communications results. This includes using data science, data engineering, predictive modeling, and market analytics to guide data driven decision making.
The AARP Data Science & Advanced Analytics team is seeking a curious and creative intern to support ongoing enhancements to Data Science-owned AI/ML and agentic personalization capabilities across our digital channels. This paid internship, anticipated to begin in Fall 2026 with the potential to extend into additional semesters, sits within the Data Science function and focuses on AI-driven personalization, content intelligence, audience engagement analysis, and emerging agentic decisioning initiatives. The intern will help evaluate engagement signals, content effectiveness, and qualitative feedback to support the evolution of AI/ML-powered personalization systems and optimization frameworks. This internship offers hands-on exposure to how analytics, content strategy, audience engagement, and AI work together to improve personalized digital experiences, while supporting Data Science-led AI and agentic personalization initiatives focused on content intelligence, engagement optimization, and AI-assisted decisioning. Ideal candidates will have an interest in media, marketing analytics, audience strategy, communications, digital content, consumer behavior, personalization, and emerging AI technologies, combined with strong analytical thinking, intellectual curiosity, and the ability to connect insights to business outcomes.
Responsibilities
  • Support ongoing improvements to Data Science-owned AI/ML and agentic personalization capabilities
  • Review personalized content recommendations and engagement trends
  • Evaluate content relevance, freshness, tone, and audience alignment
  • Analyze web, app, and email engagement patterns and analytics
  • Support experimentation and optimization initiatives
  • Provide structured qualitative feedback to support AI-assisted decisioning
  • Assist with summaries, presentations, analytics reviews, and insight documentation

Qualifications
  • Currently pursuing an undergraduate or graduate degree in Media & Marketing Analytics, Audience Strategy, Digital Media, Integrated Marketing Communications, Business Analytics, Consumer Strategy, Marketing, Communications, or a related field
  • Strong interest in digital experiences, consumer engagement, personalization, and emerging AI technologies
  • Ability to think analytically, synthesize insights, and communicate findings clearly to both technical and non-technical audiences

Additional
  • Exposure to digital publishing, content marketing, audience development, or marketing analytics
  • Familiarity with audience engagement metrics, reporting, dashboards, or performance measurement
  • Interest in personalization, AI/ML, experimentation, recommendation systems, or emerging agentic AI applications
  • Experience creating presentations, reports, content analyses, or research summaries
  • Comfort working with both quantitative and qualitative information to identify patterns, opportunities, and insights
  • Curiosity about how data, content, and technology can work together to improve customer experiences and business outcomes

AARP will not sponsor an employment visa for this position at this time.
Additional Requirements
  • Regular and reliable job attendance
  • Effective verbal and written communication skills
  • Exhibit respect and understanding of others to maintain professional relationships
  • Independent judgement in evaluation options to make sound decisions
  • In office/open office environment with the ability to work effectively surrounded by moderate noise

Hybrid Work Environment
AARP observes Mondays and Fridays as remote workdays, except for essential functions. Remote work can only be done within the United States and its territories.
Compensation and Benefits
The hourly range is $18.40 for undergraduates, $21 for graduate students, and $28 for Ph.D. candidates. Internships are non-exempt positions and are not eligible for employee benefits.
Equal Employment Opportunity
AARP is an equal opportunity employer committed to hiring a diverse workforce and sustaining an inclusive culture. AARP does not discriminate on the basis of race, ethnicity, religion, sex, color, national origin, age, sexual orientation, gender identity or expression, mental or physical disability, genetic information, veteran status, or on any other basis prohibited by applicable law.

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