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Data Science Intern Jobs in Rutherford, NJ (NOW HIRING)

Data Science Intern Prism Data is building the future of credit risk assessment using modern data science and transaction-level financial data. Our API-based platform enables banks, fintechs, and ...

As a Data Science Intern in our New York-based Data Lab, you will work at the forefront of the digital transformation of education data, supporting the development of innovative, data-driven ...

As a Data Science Intern in our New York-based Data Lab, you will work at the forefront of the digital transformation of education data, supporting the development of innovative, data-driven ...

What you will do Join us as Data Scientist Intern to bring order to the chaos of culture. You'll extract insights from hard-to-reach data sources to tackle the big questions: What cultural trends are ...

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Data Science Intern information

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How much do data science intern jobs pay per hour?

As of Jun 3, 2026, the average hourly pay for data science intern in Rutherford, NJ is $22.94, according to ZipRecruiter salary data. Most workers in this role earn between $17.64 and $25.00 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Science Intern, and why are they important?

To thrive as a Data Science Intern, you need a solid grasp of statistics, data analysis, and programming (often in Python or R), typically supported by coursework in computer science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau), machine learning libraries (such as scikit-learn or TensorFlow), and version control systems (like Git) is commonly expected. Strong problem-solving abilities, communication skills, and a willingness to learn help interns collaborate effectively and translate data insights for diverse audiences. These skills and qualities ensure that interns can contribute meaningfully to projects, adapt quickly, and bridge the gap between raw data and actionable business solutions.

What types of projects can I expect to work on as a Data Science Intern, and how will I collaborate with other team members?

As a Data Science Intern, you can expect to work on a variety of projects such as data cleaning, exploratory data analysis, building predictive models, or assisting with data visualization tasks. You'll often collaborate closely with data scientists, engineers, and sometimes business analysts, participating in team meetings and brainstorming sessions. Interns are usually given clearly defined tasks that contribute to larger projects, allowing you to learn from experienced professionals while making a meaningful impact. Regular check-ins and mentorship are typical, providing you with feedback and professional growth opportunities throughout your internship.

What does a Data Science Intern do?

A Data Science Intern typically assists with collecting, cleaning, and analyzing data to support business decisions or research. They work under the supervision of experienced data scientists, helping to build and test predictive models, create data visualizations, and present findings. Interns often use programming languages such as Python or R, and tools like SQL, to manipulate data. The role is designed to provide hands-on experience with real-world data science projects and help interns develop technical and analytical skills.
What are the most commonly searched types of Data Science jobs in Rutherford, NJ? The most popular types of Data Science jobs in Rutherford, NJ are:
What cities near Rutherford, NJ are hiring for Data Science Intern jobs? Cities near Rutherford, NJ with the most Data Science Intern job openings:
Infographic showing various Data Science Intern job openings in Rutherford, NJ as of May 2026, with employment types broken down into 52% Full Time, 42% Part Time, 3% Temporary, and 3% Contract. Highlights an 94% Physical, 3% Hybrid, and 3% Remote job distribution, with an average salary of $47,719 per year, or $22.9 per hour.
Data Science Intern

$32.50/hr

Other

Posted 27 days ago


Job description

Data Science Intern

Prism Data is building the future of credit risk assessment using modern data science and transaction-level financial data. Our API-based platform enables banks, fintechs, and lenders to use automated cash flow underwriting—analyzing detailed banking history in real time—to improve credit decisions, expand approvals, and reduce losses.

Prism transforms raw transaction data from any source into highly structured, explainable features and predictive risk scores, including the market-leading CashScore®. Our products sit at the intersection of data engineering, machine learning, and regulated financial decisioning—and are trusted by some of the largest financial institutions and fastest-growing fintechs in the country.

Prism is well-funded and backed by leading strategic investors like Synchrony and Citi, along with top-tier venture firms including Obvious Ventures, Valar Ventures, and Core Innovation Capital.

At the heart of Prism's offering is Data Science—not just as a technical function, but as the core product. As such, the Data Science team plays a uniquely central role in the company's success, with direct influence on product innovation, commercial strategy, and company-wide decision making.

Prism is seeking a Data Science Intern to join its growing team. The team conducts R&D for next-generation solutions, tests and presents Prism products' effectiveness at solving prospects' and clients' business problems, produces insights that inform external thought leadership, and collaborates with cross-functional partners to enhance operations. The role presents a rare opportunity to make a measurable difference at a critical inflection point for both Prism and the credit scoring and lending industries.

What You'll Do:

  • Train Models: Utilize your background in data science to build models to categorize transactions, identify income, and proactively identify credit risk.
  • Research: Research and evaluate new model development and training techniques. Determine applicability of new technologies to Prism's business.
  • Evaluate: Explain to clients and prospects how they can get the most value out of Prism's solutions.
  • Communicate: Explain technical concepts to clients and prospects with less experience in data science. Translate the statistical model performance into business value.

Qualifications:

  • Bachelor's degree in a STEM-related field.
  • Knowledge/interest in common data science/statistical tools and techniques.
  • Python programming experience.
  • Strong strategic thinking and analytical skills.
  • Excellent communicator and internal relationship builder, who can collaborate cross-functionally (e.g., with our sales, product and technical teams) on complex topics.
  • Ability to understand and explain technology and data flows.
  • A self-starter with a track record of success working with distributed teams.

This role is a temporary, hourly role, with the possibility to transition into a full time entry-level Data Scientist role in the fall. The role is 40 hours per week and pays $32.50 per hour.

Prism is an equal opportunity employer and values diversity. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Prism is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. Please let us know if you need assistance with your application or interviews due to a disability.