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Interdisciplinary Social Science Internship Jobs in Romeoville, IL

fairlife

Data Engineer Intern (Summer 2026)

Chicago, IL · Hybrid

... welcome interns across our locations to gain meaningful experience and social and professional ... The Data Science & AI Enablement Intern will support the development, deployment, and adoption of ...

fairlife

Data Engineer Intern (Summer 2026)

Chicago, IL · On-site

... internship program also offers a summer full of social, professional, and community engagement ... The Data Science & AI Enablement Intern will support the development, deployment, and adoption of ...

Fairlife

Data Engineer Intern (Summer 2026)

Chicago, IL · Hybrid

... internship program also offers a summer full of social, professional, and community engagement ... The Data Science & AI Enablement Intern will support the development, deployment, and adoption of ...

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Interdisciplinary Social Science Internship information

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$5

$16

$25

How much do interdisciplinary social science internship jobs pay per hour?

As of May 28, 2026, the average hourly pay for interdisciplinary social science internship in Romeoville, IL is $16.97, according to ZipRecruiter salary data. Most workers in this role earn between $14.71 and $18.89 per hour, depending on experience, location, and employer.

What is the difference between Interdisciplinary Social Science Internship vs Social Science Research Assistant?

AspectInterdisciplinary Social Science InternshipSocial Science Research Assistant
Required CredentialsTypically enrolled students or recent graduates; no specific certification requiredUsually requires a relevant bachelor's degree; some positions prefer or require research experience
Work EnvironmentInternship settings, often in government, NGOs, or academic institutions; focus on learning and support rolesResearch labs, academic institutions, or policy organizations; involved in data collection and analysis
Employer & Industry UsageUsed by organizations offering training opportunities in social sciencesCommonly employed in research projects, academic studies, and policy analysis

While both roles involve social science concepts, an Interdisciplinary Social Science Internship focuses on gaining broad exposure and practical experience across multiple social science fields, often for students or early-career individuals. A Social Science Research Assistant typically supports specific research projects, handling data and analysis tasks. The internship emphasizes learning and skill development, whereas the research assistant role centers on contributing to ongoing research efforts.

What are popular job titles related to Interdisciplinary Social Science Internship jobs in Romeoville, IL? For Interdisciplinary Social Science Internship jobs in Romeoville, IL, the most frequently searched job titles are:
What job categories do people searching Interdisciplinary Social Science Internship jobs in Romeoville, IL look for? The top searched job categories for Interdisciplinary Social Science Internship jobs in Romeoville, IL are:
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Interdisciplinary Social Science Internship jobs near you
Data Engineer Intern (Summer 2026)

Data Engineer Intern (Summer 2026)

fairlife

Chicago, IL • Hybrid

Other

Posted 8 days ago

Job description

about our internship program:
The fairlife Summer Internship Program is designed to welcome interns across our locations to gain meaningful experience and social and professional development opportunities. For 11 weeks, interns will work in one of our three locations: Chicago, IL, Coopersville, MI, or Goodyear, AZ. fairlife's paid internship program also offers a summer full of social, professional, and community engagement events including exposure to our senior leadership and executives across the business in small group settings, insight into company initiatives, off-site field trips, and for those qualified and selected, an opportunity to pursue a full-time job opportunity.


job purpose: The Data Science & AI Enablement Intern will support the development, deployment, and adoption of advanced analytics and artificial intelligence solutions within the organization. This role provides hands-on experience in preparing, analyzing, and managing data while contributing to real-world projects that improve decision-making, automation, and efficiency. The intern will collaborate with cross-functional teams to explore use cases, prototype models, and help enable data-driven capabilities across the business.

skills/qualifications required:

  • Currently pursuing a Bachelor's degree in Data Science, Computer Science, Statistics, Engineering, or related field
  • Foundational knowledge of Python, R, or SQL for data analysis and scripting
  • Familiarity with machine learning concepts and libraries
  • Basic understanding of data visualization tools (Power BI, Tableau, or similar)
  • Strong analytical and problem-solving skills with attention to detail
  • Ability to communicate technical findings clearly to non-technical stakeholders
  • Curiosity and willingness to learn new tools, techniques, and business processes
  • Must be currently enrolled in a four-year undergraduate degree program, entering the Fall semester, post internship, as a senior.
  • Cumulative GPA of 3.0/4.0, or higher
  • Ability to handle ambiguity and work in a fast paced, entrepreneurial environment
  • Proficiency in English: Comfortable with both written and verbal communication, including reading and writing.

learning objectives:

  • Gain practical experience in building and deploying AI/ML models in a business environment
  • Learn how to clean, prepare, and manage large datasets for advanced analytics
  • Understand how data science is applied in real-world CPG/manufacturing/enterprise settings to drive measurable business outcomes
  • Develop skills in using cloud and enterprise platforms for AI/ML enablement
  • Enhance communication and storytelling skills by translating data insights into actionable recommendations
  • Experience working within a collaborative, cross-functional data team environment
  • Build a portfolio of project contributions that demonstrate applied data science and AI enablement skills

internship location: Chicago, IL - Candidate must be local to the Chicago area and ready to commute to office (located in West Loop) at minimum 3x per week, relocation assistance will not be provided
schedule: Hybrid, with 3 days on-site matching team schedule
internship duration: estimated 6/15 through 8/28
reports to: Director, Data Engineering

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