1

Intern Knowledge Graph Jobs in New Jersey (NOW HIRING)

Intern Knowledge Graph information

What is an intern knowledge graph?

Intern Knowledge Graphs refer to structured data models that represent the relationships and attributes of information relevant to internship programs, roles, and experiences. These graphs help organizations and educational institutions organize and analyze data about interns, such as their skills, projects, mentors, and learning outcomes. By leveraging knowledge graphs, companies can improve internship matching, track progress, and gain insights into intern performance and program effectiveness. This technology is especially useful in large organizations managing multiple internship opportunities or research projects.

What skills and qualifications are needed to thrive as an intern in knowledge graphs?

To thrive as a Knowledge Graph Intern, you need a strong foundation in computer science fundamentals, data structures, and familiarity with semantic web concepts, often supported by coursework or a related degree in computer science or information science. Experience with technical tools such as SPARQL, RDF, graph databases (like Neo4j), and possibly Python or Java is typically expected. Strong analytical thinking, problem-solving abilities, and effective communication skills help you collaborate with teams and translate complex ideas clearly. These competencies enable interns to contribute meaningfully to knowledge graph projects, ensuring data is structured, connected, and accessible for organizational use.

What types of projects can an intern knowledge graph expect to work on, and how do these projects contribute to larger organizational goals?

As an Intern Knowledge Graph, you can expect to work on projects involving the design, development, and maintenance of knowledge graphs, which help structure and connect data across the organization. Tasks may include data integration, ontology development, and writing queries to extract meaningful insights from large datasets. These projects often support initiatives in artificial intelligence, data analytics, and search optimization, making your contributions valuable to multiple teams. You'll likely collaborate with data scientists, software engineers, and business analysts, gaining exposure to both technical and strategic aspects of knowledge management.

What is the difference between Intern Knowledge Graph vs Intern Data Analyst?

AspectIntern Knowledge GraphIntern Data Analyst
Required CredentialsBasic understanding of data structures, some knowledge of graph databasesBasic statistics, Excel, SQL knowledge
Work EnvironmentTech-focused, research-driven, often in AI or data science teamsBusiness or research settings, analyzing datasets and generating reports
Employer & Industry UsageTech companies, AI firms, research institutionsFinance, marketing, healthcare, and other industries

Intern Knowledge Graph roles typically focus on understanding and working with graph databases and data structures, often within tech or research environments. Intern Data Analyst positions involve analyzing datasets, creating reports, and supporting decision-making across various industries. While both roles require foundational data skills, the Intern Knowledge Graph role emphasizes graph database knowledge, whereas the Intern Data Analyst role centers on data analysis and reporting.

What are popular job titles related to Intern Knowledge Graph jobs in New Jersey?

For Intern Knowledge Graph jobs in New Jersey, the most frequently searched job titles are:

What cities in New Jersey are hiring for Intern Knowledge Graph jobs?

Cities in New Jersey with the most Intern Knowledge Graph job openings:

Infographic showing various Intern Knowledge Graph job openings in New Jersey as of July 2026, with employment types broken down into 1% As Needed, 75% Full Time, 20% Part Time, 1% Temporary, and 3% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution.

Advanced Data Science Associate - Intern (North America - University Students)

Princeton, NJ โ€ข On-site

ZS
Business Management Consultingย โ€ขย 10K+ employees

$6.0K/mo

Full-time, Internship

Posted 12 days ago


Key responsibilities

  • Design, develop, and execute high-impact analytics solutions for large, complex data sets.

  • Execute statistical and data mining techniques on large data sets to identify trends and relevant information.

  • Collaborate with clients and stakeholders to communicate analysis findings.


Job description

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, we transform ideas into impact by bringing together data, science, technology and human ingenuity to deliver better outcomes for all. Here you'll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client-first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning, bold ideas, courage and passion to drive life-changing impact to ZS.
ZS's Insights & Analytics group partners with clients to design and deliver solutions to help them tackle a broad range of business challenges. Our teams work on multiple projects simultaneously, leveraging advanced data analytics and problem-solving techniques. Our recommendations and solutions are based on rigorous research and analysis underpinned by deep expertise and thought leadership.
ADVANCED DATA SCIENCE ASSOCIATE - INTERN
Advanced Data Science Associates (ADSAs) Interns help design, develop and execute high-impact analytics solutions for large, complex, structured and unstructured data sets (including big data) to help clients make better fact-based decisions. At the end of the internship, interns are evaluated and considered for a full-time employment offer.
What You'll Do
  • Develop advanced algorithms that solve problems of large dimensionality in a computationally efficient and statistically effective manner.
  • Execute statistical and data mining techniques (e.g. hypothesis testing, machine learning and retrieval processes) on large data sets to identify trends, figures and other relevant information.
  • Collaborate with clients and other ZS stakeholders to effectively integrate and communicate analysis findings.
  • Contribute to the evaluation of emerging datasets and technologies that may contribute to our analytical platform.

What You'll Bring
  • A master's degree in computer science or statistics (in-progress), and strong academic performance with analytic and quantitative coursework is required.
  • Knowledge of key AI-ML techniques/algorithms/advanced analytics concepts (E.g. Predictive modelling, text mining, recommender systems, social listening, Graph-based-models)
  • Knowledge of Deep Learning and AI Technologies (e.g. LLMs, Gen AI, Deep Learning and Transformers)
  • Familiarity with statistical methods (e.g. Bayesian Learning methods, Causal Modeling) and big data (e.g. PySpark)
  • Proficiency in data manipulation/data wrangling using industry standard tools (e.g SQL, Python-Pandas)
  • Excellent oral and written communication skills (fluency in English).
  • Strong attention to detail, with a research-focused mindset.
  • Excellent critical thinking and problem solving skills.
  • High motivation, good work ethic and maturity.

How you'll grow:
  • Cross-functional skills development & custom learning pathways
  • Milestone training programs aligned to career progression opportunities
  • Internal mobility paths that empower growth via s-curves, individual contribution and role expansions

Perks & Benefits:
At ZS, your growth matters. We offer a comprehensive total rewards package that supports your health and well-being, financial future, time away, and professional development. With robust skills-building programs, multiple career progression paths, internal mobility, and a deeply collaborative culture, you'll have the opportunity to do meaningful work, expand your capabilities, and thrive as part of a global community. For details on total rewards in United States, visit ZS US office locations | Where we work | ZS.
Hybrid working model:
We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections.
Travel:
Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures.
Considering applying?
At ZS, we honor the visible and invisible elements of our identities, personal experiences, and belief systems-the ones that comprise us as individuals, shape who we are, and make us unique. We believe your personal interests, identities, and desire to learn are integral to your success here. We are committed to building a team that reflects a broad variety of backgrounds, perspectives, and experiences. Learn more about our inclusion and belonging efforts and the networks ZS supports to assist our ZSers in cultivating community spaces and obtaining the resources they need to thrive.
If you're eager to grow, contribute, and bring your unique self to our work, we encourage you to apply.
ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law.
Work Authorization:
This position is not eligible for visa sponsorship. Candidates must have authorization to work in the United States that does not now or in the future require employer sponsorship.
To complete your application:
An on-line application, including a full set of transcripts (official or unofficial), is required to be considered.
NO AGENCY CALLS, PLEASE.
Find Out More At:
www.zs.com

ZS logo

About ZS

Sourced by ZipRecruiter

Industry

Business management consulting

Company size

10,000+ Employees

Headquarters location

Evanston, IL, US

Year founded

1983