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Data Science Internship Jobs in Riverside, NJ (NOW HIRING)

Data Engineer, DA&AI Co-Op

Camden, NJ · On-site

$115K - $138K/yr

This co-op / internship offers hands-on experience at the forefront of Generative AI and automation ... Mentorship from senior AI Engineers and Data Scientists working on enterprise-scale deployments.

Data Engineer, DA&AI Co-Op

Camden, NJ · On-site

$115K - $138K/yr

This co-op / internship offers hands-on experience at the forefront of Generative AI and automation ... Mentorship from senior AI Engineers and Data Scientists working on enterprise-scale deployments.

Data Engineer, DA&AI Co-Op

Camden, NJ · On-site

$115K - $138K/yr

This co-op / internship offers hands-on experience at the forefront of Generative AI and automation ... Mentorship from senior AI Engineers and Data Scientists working on enterprise-scale deployments.

Data Engineer, DA&AI Co-Op

Camden, NJ · On-site

$115K - $138K/yr

This co-op / internship offers hands-on experience at the forefront of Generative AI and automation ... Mentorship from senior AI Engineers and Data Scientists working on enterprise-scale deployments.

Data Engineer, DA&AI Co-Op

Camden, NJ

$115K - $138K/yr

This co-op / internship offers hands-on experience at the forefront of Generative AI and automation ... Mentorship from senior AI Engineers and Data Scientists working on enterprise-scale deployments.

Data Engineer, DA&AI Co-Op

Camden, NJ · On-site

$115K - $138K/yr

This co-op / internship offers hands-on experience at the forefront of Generative AI and automation ... Mentorship from senior AI Engineers and Data Scientists working on enterprise-scale deployments.

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Data Science Internship information

See Riverside, NJ salary details

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How much do data science internship jobs pay per hour?

As of Aug 27, 2026, the average hourly pay for data science internship in Riverside, NJ is $22.73, according to ZipRecruiter salary data. Most workers in this role earn between $17.50 and $24.76 per hour, depending on experience, location, and employer.

What types of projects or tasks can I expect to work on during a data science internship?

As a Data Science Intern, you may be involved in projects such as analyzing datasets to uncover trends, building and testing predictive models, or creating visual reports to help stakeholders understand key findings. Interns often support ongoing research, assist with data cleaning and preprocessing, and collaborate on team projects under the guidance of experienced data scientists. Depending on the company's focus, you might also contribute to deploying models or automating data pipelines. These tasks are designed to give you practical experience with real-world data challenges and help develop your technical and analytical skills.

What are the key skills and qualifications needed to thrive in a data science internship, and why are they important?

To thrive as a Data Science Intern, you need a solid understanding of statistics, data analysis, and programming languages such as Python or R, often supported by progress towards a degree in a quantitative field. Familiarity with tools like SQL, machine learning libraries (e.g., scikit-learn, TensorFlow), and data visualization platforms (e.g., Tableau, Power BI) is highly valued. Strong problem-solving skills, eagerness to learn, and effective communication are essential soft skills for this role. These abilities are crucial for drawing insights from data, collaborating with technical and non-technical colleagues, and contributing meaningfully to projects.

What are popular job titles related to Data Science Internship jobs in Riverside, NJ?

For Data Science Internship jobs in Riverside, NJ, the most frequently searched job titles are:

What cities near Riverside, NJ are hiring for Data Science Internship jobs?

Cities near Riverside, NJ with the most Data Science Internship job openings:

Infographic showing various Data Science Internship job openings in Riverside, NJ as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, 1% Temporary, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $47,277 per year, or $22.7 per hour.

Summer 2027 - Data Science and Machine Learning Intern - Philadelphia, PA

Lutron Electronics Co., Inc.

Philadelphia, PA • On-site

Temporary, Internship

Posted 24 days ago


Lutron Electronics rating

8.4

Company rating: 8.4 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

36th of 159 rated electronics manufacturers


Job description

Overview

Lutron is seeking a Data Scientist Intern to join our collaborative team and contribute to high-impact projects. In this role, you will help design and deliver data-driven solutions that power smart lighting and shading systems. At Lutron, your interest in data science will grow through hands-on experience, practical skill-building, and collaboration with experienced data scientists in a supportive environment. 

We consider interns to be very valuable in our search for exceptional future members of our team and pride ourselves in providing outstanding work experience to students from a wide variety of universities and backgrounds.

Responsibilities

Your internship at Lutron could offer you the opportunity to work on: 

  • Communicating complex ideas across all levels of organization using clear data- visualizations techniques   
  • Utilizing tools like Jupyter Notebooks, Python, R, and supporting libraries as well as querying and scripting tools  
  • Communicating verbally & visually, connecting the dots, breaking down complex problems into simpler units 
  • Driving active projects in partnership with crossfunctional teams 
  • Learning and applying newly adopted tools and technologies to enhance system performance, reliability, and scalability 
Qualifications

We seek talented, success-minded people with the desire and ability to make things happen. Our baseline requirements are simple: 

  • You are pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Data Analytics or Statistics 
  • Your cumulative GPA is at least 3.20 
  • You are a rising junior, rising senior, or master's student at the start of the internship

  • You have broad interests in data science, engineering, and cross-functional collaboration 
  • You are authorized to work in the U.S. and will not require Lutron to sponsor you for any work visa, such as an H-1B, either immediately or at any time in the future. Lutron does not offer work visa sponsorship for this position. 
  • Willingness and ability to work on-site 5 days per week 

Lutron is a team-oriented environment, and you will work within these teams to look at broad issues and identify root causes, not just quick fixes. You must have a willingness to ask tough questions, seek out new resources, and work hard to find the best solution. 

Here is what you can expect from our internship program: 

  • Competitive pay 
  • Housing resources 
  • Meaningful project-based work 
  • Mentorship 
  • Experiential learning 
  • Shadowing opportunities 
  • Collaborative, cross-functional teams 
  • Networking opportunities 
  • Social events 

Lutron Electronics' position as the worldwide leader in innovative lighting control and shading solutions has enabled consistent, annual growth. Our company has cultivated a reputation of unsurpassed quality, a broad range of technologies and product offerings, and a strong commitment to servicing our worldwide customers. This has allowed the company to invest in developing new technologies and services, expand our technical capabilities and global presence, and to find and retain the best talent.  Build your career with Lutron where you will enjoy competitive compensation and benefits while exploring many options for continued growth and education. Make a difference every day in our dynamic, people-centric, technology-driven organization. For more information, view our website at  www.lutron.com. 

Lutron Electronics is an Equal Opportunity - Affirmative Action - Employer. We welcome qualified, motivated applicants regardless of race, color, religion, sex, national origin, age, disability or genetics 


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