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Internship Bachelor Social Science Jobs in Riverside, IL

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... Bachelor's degree and an Illinois Professional Educator's license with Secondary History/Social ... Science endorsement · · Must demonstrate the experience, beliefs, attitude and awareness that ...

Social Worker

Chicago, IL · Hybrid

$65K - $71K/yr

... science research to assist legal staff in understanding larger, systemic issues impacting our ... Supervise social work internship students * Maintain case files and accurate timekeeping in ...

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Social Worker

Chicago, IL · On-site

$65K - $71K/yr

... science research to assist legal staff in understanding larger, systemic issues impacting our ... Supervise social work internship students * Maintain case files and accurate timekeeping in ...

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Internship Bachelor Social Science information

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

As of Jul 26, 2026, the average hourly pay for internship bachelor social science in Riverside, IL is $16.74, according to ZipRecruiter salary data. Most workers in this role earn between $14.52 and $18.61 per hour, depending on experience, location, and employer.

Is a bachelor's in social science worth it?

A bachelor's in social science provides foundational knowledge in areas like sociology, psychology, and political science, which can lead to roles such as social research assistant, community coordinator, or policy analyst. The degree helps develop critical thinking, research, and communication skills valued in various fields, though career prospects often depend on additional experience or specialization.

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

AspectInternship Bachelor Social ScienceResearch Assistant Social Science
Required CredentialsUndergraduate degree or current studentBachelor's degree in social science or related field
Work EnvironmentInternship setting, often in organizations or NGOsResearch projects, academic or institutional labs
Employer & Industry UsageCompanies, NGOs, government agenciesUniversities, research institutes, think tanks
Common Search & Comparison IntentEntry-level experience, career explorationResearch skills development, academic career

The main difference is that an Internship Bachelor Social Science is typically a short-term, entry-level position for students or recent graduates seeking practical experience, while a Research Assistant Social Science usually involves supporting ongoing research projects, often requiring more specialized skills and a bachelor's degree. Both roles are valuable for building a career in social sciences but serve different purposes in professional development.

What can I do with a bachelor of social science?

A Bachelor of Social Science prepares graduates for roles in social services, community development, research, and policy analysis. Common jobs include social worker, research assistant, program coordinator, and policy analyst, often requiring strong communication and analytical skills. The degree provides a foundation for further specialization or certification in related fields.

What are the key skills and qualifications needed to thrive as an Internship Bachelor Social Science, and why are they important?

To thrive as an Internship Bachelor Social Science, you need foundational knowledge in social science theories, research methods, and data analysis, typically gained through relevant coursework or academic training. Familiarity with statistical software (such as SPSS or R), survey tools, and basic reporting systems is often required. Strong communication, critical thinking, and teamwork skills make interns stand out when collaborating with diverse groups and presenting findings. These competencies are essential for contributing effectively to research projects, supporting organizational goals, and gaining practical experience in social science fields.

What career can you get with a social science degree?

An internship in social science can lead to careers in fields such as social research, community development, policy analysis, human resources, and public administration. These roles often require strong communication, analytical skills, and familiarity with data analysis tools. A social science degree provides a foundation for diverse roles in government, non-profits, and private sectors.

What are Internship Bachelor Social Science positions?

Internship Bachelor Social Science positions are short-term work opportunities designed for undergraduate students pursuing a degree in social science fields, such as sociology, psychology, anthropology, or political science. These internships provide hands-on experience in real-world settings like research organizations, non-profits, government agencies, or private companies. The goal is to help students apply their academic knowledge, develop professional skills, and explore potential career paths in social science. Internships may be paid or unpaid and often count toward academic credit.

What types of projects and tasks can an intern in a Bachelor Social Science program expect to work on during their internship?

As an intern in a Bachelor Social Science program, you can expect to engage in a variety of tasks such as assisting with research projects, conducting data collection and analysis, supporting community outreach initiatives, and preparing reports or presentations. Interns often collaborate closely with supervisors and team members, gaining hands-on experience in both independent and group settings. The work environment is typically dynamic and may involve interacting with diverse populations or stakeholders, depending on the host organization. These experiences provide valuable practical skills that complement academic learning and can help clarify your career interests within the social sciences field.

Which internship is best for sociology students?

The best internships for sociology students are those in social research, community development, or nonprofit organizations, where they can gain practical experience in data collection, analysis, and program evaluation. Internships that involve qualitative and quantitative research methods, as well as strong communication skills, are highly valuable for building relevant expertise in the field.
What are the most commonly searched types of Bachelor Social Science jobs in Riverside, IL? The most popular types of Bachelor Social Science jobs in Riverside, IL are:
What cities near Riverside, IL are hiring for Internship Bachelor Social Science jobs? Cities near Riverside, IL with the most Internship Bachelor Social Science job openings:
Infographic showing various Internship Bachelor Social Science job openings in Riverside, IL as of June 2026, with employment types broken down into 90% Full Time, 9% Part Time, and 1% Contract. Highlights an 76% Physical, 2% Hybrid, and 22% Remote job distribution, with an average salary of $34,812 per year, or $16.7 per hour.
Data Scientist I supporting social science research, analytics, and AI initiatives

Data Scientist I supporting social science research, analytics, and AI initiatives

NORC at the University of Chicago

Chicago, IL • Hybrid

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago


Job description

Data Scientist I supporting social science research, analytics, and AI initiatives

Apply now Job no: 503928 Work type: Regular Full-Time Location: Chicago - 300 E Randolph St Capability Area: Methodology and Quantitative Social Sciences

JOB SUMMARY:

NORC at the University of Chicago is seeking a qualified Data Scientist I to join the Methodology and Quantitative Social Sciences department and support innovative research, analytics, and AI initiatives.

The Data Scientist I works collaboratively with methodologists, researchers, statisticians, software developers, and subject matter experts to develop data science and artificial intelligence solutions that improve research, operational efficiency, and decision-making. This role combines strong foundations in data management, statistical modeling, machine learning, and computational social science with emerging capabilities in generative AI and large language models (LLMs).

The Data Scientist I will contribute to projects involving structured and unstructured data, survey data, administrative records, commercial data, text data, and other novel data sources. Responsibilities may include developing analytical workflows, building machine learning models, creating AI-powered applications, fine-tuning foundation models, implementing retrieval-augmented generation (RAG) systems, and supporting deployment of AI solutions in secure cloud environments.

The ideal candidate possesses strong Python programming skills, experience building reproducible analytical workflows, and a demonstrated interest in applying modern AI technologies to solve complex research and business problems.

Location: This is a hybrid role based in our Washington, DC and Chicago downtown offices, with a minimum of six days per month in the office.

Qualified applicants must be eligible to work in the U.S. We regret that we are unable to offer visa sponsorship for this position.

DEPARTMENT:  Methodology and Quantitative Social Sciences

The Methodology and Quantitative Social Sciences department implements state-of-the-art methodologies and develops innovations to deliver reliable data and rigorous analysis to guide critical programmatic, business and policy decisions for NORC clients. The department provides leadership throughout the project lifecycle on study design, data collection, assessment of data quality, quantitative analysis, and dissemination of results. The Methodological and Quantitative Social Sciences department also conducts its own research and is a leader in designing and implementing rigorous, efficient methods for gathering, evaluating, and analyzing data from primary and secondary sources. The department provides expertise and leads NORC strategy on the use of a broad range of methods and techniques, including research and experimental design, recruitment and retention, instrument design and testing, assessing data quality, evaluating measurement properties of new measures, causal inference methods, machine learning, analysis of clustered data, data visualization, use of novel data sources and technologies to improve data gathering, and building AI solutions that support NORC's research. The department collaborates with the Statistics and Data Science Department on areas of synergy and intersection and with all NORC subject matter departments, in addition to leading its own projects.

RESPONSIBILITIES:
  • Collaborate with methodologists and subject matter experts to design, develop, evaluate, and deploy AI-enabled applications that support research and operational objectives.
  • Fine-tune, adapt, or customize machine learning and language models for domain-specific tasks.
  • Build and evaluate retrieval-augmented generation (RAG) solutions using vector databases and semantic search techniques for data and analysis projects in NORC's research focus areas.
  • Develop prompt engineering strategies and evaluation frameworks for generative AI systems.
  • Implement model monitoring, testing, validation, and performance optimization processes.
  • Apply natural language processing techniques for text classification, information extraction, summarization, and content analysis.
  • Support experimentation with AI agents, tool calling, and workflow automation.
  • Perform other duties as assigned.
REQUIRED SKILLS:
  • Bachelor's degree in computational social science, data science, computer science or a related quantitative field with social science emphasis.
  • At least 4 years of relevant experience (graduate research, internships, and applied professional experience may be considered).
  • Advanced proficiency in Python.
  • Strong experience with SQL and relational databases.
  • Experience developing software, data pipelines, or analytical applications.
  • Experience conducting statistical analysis and machine learning using real-world datasets.
  • Knowledge of supervised and unsupervised machine learning methods.
  • Experience working with Git and collaborative development workflows.
  • Strong problem-solving and analytical skills.
  • Excellent communication and technical writing skills.
  • Ability to explain technical concepts to diverse audiences.

Preferred Skills:              

  • Familiarity with AI agents and workflow orchestration frameworks.
  • Additional expertise in large and small language models, and machine learning, in working in cloud environments (e.g., AWS, Azure, GCP), and with command-line workflows (e.g., in bash).
  • Developing machine learning models, data pipelines, and AI-powered applications, as described above, to support social science research.

Qualified applicants must be eligible to work in the U.S. We regret that we are unable to offer visa sponsorship for this position.

SALARY AND BENEFITS:

The pay range for this position is $90,000-$100,000.

This position is classified as regular. Regular staff are eligible for NORC's comprehensive benefits program. Benefits include, but are not limited to:  

  • Generously subsidized health insurance, effective on the first day of employment 

  • Dental and vision insurance  

  • A defined contribution retirement program, along with a separate voluntary 403(b) retirement program  

  • Group life insurance, long-term and short-term disability insurance 

  • Benefits that promote work/life balance, including generous paid time off, holidays; paid parental leave, bereavement leave, tuition assistance, and an Employee Assistance Program (EAP). 

NORC is committed to equity and transparency in its pay practices. We publish salary ranges and benefit information for every job. The listed hiring range reflects what we, in good faith, expect to pay at the time of posting, though actual compensation may vary and may be adjusted over time. A candidate's placement within the range depends on factors such as competencies, education, qualifications, experience, skills, performance, and organizational needs.

WHAT WE DO:

NORC at the University of Chicago is an objective, non-partisan research institution that delivers reliable data and rigorous analysis to guide critical programmatic, business, and policy decisions. Since 1941, our teams have conducted groundbreaking studies, created and applied innovative methods and tools, and advanced principles of scientific integrity and collaboration. Today, government, corporate, and nonprofit clients around the world partner with us to transform increasingly complex information into useful knowledge.

WHO WE ARE:

For over 80 years, NORC has evolved in many ways, moving the needle with research methods, technical applications and groundbreaking research findings. But our tradition of excellence, passion for innovation, and commitment to collegiality have remained constant components of who we are as a brand, and who each of us is as a member of the NORC team. With world-class benefits, a business casual environment, and an emphasis on continuous learning, NORC is a place where people join for the stellar research and analysis work for which we're known, and stay for the relationships they form with their colleagues who take pride in the impact their work is making on a global scale.

EEO STATEMENT: 

NORC is an equal opportunity employer. NORC evaluates qualified applicants without regard to race, color, religion, sex, gender, national origin, disability, status as a protected veteran, sexual orientation, and other legally protected characteristics.

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Advertised: July 20, 2026 Central Daylight Time Applications close:

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