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

Campbell's

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.

Campbell's

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.

Campbell Soup Company

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.

Campbell's

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.

Campbell Soup Company

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.

Campbell Soup Company

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.

Syensqo

Senior Scientist II

Bristol, PA · On-site

$99K - $120K/yr

Record and analyze data accurately, maintain detailed and up-to-date lab records in ELN following ... Mentor, manage or supervise other junior researchers, team members, scientists or student interns ...

CYNET SYSTEMS

Senior Scientist

Titusville, NJ · On-site

$64 - $69/hr

Advanced degree in Materials Science, Chemical Engineering, Chemistry, Polymer Science, or closely ... Mentor and guide junior staff, contractors, or interns on data review, documentation standards, and ...

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All JobsData Scientist JobsData Scientist Internship JobsData Scientist Internship Jobs in Riverside, NJ

Data Scientist Internship information

See Riverside, NJ salary details

$46.5K

$166.7K

$245.9K

How much do data scientist internship jobs pay per year?

As of Aug 27, 2026, the average yearly pay for data scientist internship in Riverside, NJ is $166,667.00, according to ZipRecruiter salary data. Most workers in this role earn between $134,800.00 and $171,700.00 per year, depending on experience, location, and employer.

What is a data scientist internship?

A Data Scientist Internship is a temporary, entry-level position where students or recent graduates gain hands-on experience working with real-world data. Interns typically assist with data collection, cleaning, analysis, and visualization under the supervision of experienced data scientists. The role helps interns develop technical skills in programming, statistics, and machine learning while contributing to projects that solve business problems. Internships often serve as a stepping stone to a full-time data science career, providing valuable industry exposure and networking opportunities.

What kind of projects and tasks can I expect to work on during a data scientist internship?

As a Data Scientist Intern, you'll typically work on real-world data problems, such as cleaning and analyzing large datasets, developing predictive models, and visualizing insights for stakeholders. You might collaborate closely with data engineers, software developers, and business analysts to support ongoing projects or conduct exploratory data analysis for new initiatives. Interns often have opportunities to present their findings and contribute to decision-making processes, gaining hands-on experience with industry-standard tools and methodologies. The work environment is usually dynamic and supportive, with mentorship from experienced data scientists to help you grow your technical and analytical skills.

What are the qualifications to get a data scientist internship?

To get a data scientist internship, you must either be pursuing a degree in data science, applied math, or computer science or have recently completed a degree in a related area. To qualify for an intern position, you need to have a strong background in math, and you must understand programming languages like Python, Java, and C++. As an intern, you need to be able to follow directions and learn new concepts rapidly. Additional qualifications include excellent grades, strong communication skills, an understanding of algorithms, and extensive knowledge of statistical and predictive modeling concepts.

What is the difference between Data Scientist Internship vs Data Analyst Internship?

AspectData Scientist InternshipData Analyst Internship
Required CredentialsTypically pursuing or recent graduate in Data Science, Computer Science, or related fieldsOften pursuing or recent graduate in Statistics, Business, or related fields
Work EnvironmentCollaborates on advanced analytics, machine learning models, and predictive analyticsFocuses on data cleaning, reporting, and descriptive analytics
Employer & Industry UsageUsed in tech, finance, healthcare, and industries emphasizing AI and machine learningCommon in marketing, retail, and business intelligence sectors

While both internships involve working with data, Data Scientist Internships focus on building models and advanced analytics, whereas Data Analyst Internships emphasize data reporting and descriptive analysis. The choice depends on your skills and career goals in data roles.

What do you do as a data scientist internship?

A data scientist intern assists in analyzing data, developing models, and generating insights to support business decisions. They often work with tools like Python, R, or SQL and may be involved in data cleaning, visualization, and reporting under supervision. The internship provides practical experience in data analysis and machine learning techniques.
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What are the most commonly searched types of Data Scientist jobs in Riverside, NJ?

The most popular types of Data Scientist jobs in Riverside, NJ are:

What job categories do people searching Data Scientist Internship jobs in Riverside, NJ look for?

The top searched job categories for Data Scientist Internship jobs in Riverside, NJ are:

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

Data Scientist Internship jobs near you
Infographic showing various Data Scientist 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 $166,667 per year, or $80.1 per hour.

Data Scientist / Pharma Manufacturing / Remote Work

Pioneer Data

Titusville, NJ • On-site

Contractor

Re-posted 9 days ago

Job description

Position Details:
Our client, a world-leading Pharmaceutical Company in Titusville, NJ is currently looking for a Data Scientist to join their expanding team.  
 
Job Title: Data Scientist / Pharma Manufacturing / Remote Work
Duration: 12 months contract, extendable up to 24 Months
Client Location: Titusville, NJ
 
Note:
The client has the right-to-hire you as a permanent employee at any time during or after the end of the contract.
You may participate in the company group medical insurance plan  
 
Job Description:
Position summary - Senior Scientist
 
Notes:
Role can be HYBRID or REMOTE, but must be in EST time zone, prefers the candidate lives in NJ or PA
Masters degree is required
Required experience with Python and SQL - REQUIRED
Must have MSAT or Manufacturing background
Will work on a major project, will help setup connections, and explore data analysis
Will research specific materials
Must be a critical thinker
Must be eager to learn
MUST HAVE PROGRAMMING AND CODING EXPERIENCE
Will help with coming up with unique ways to solve problems or obstacles
Must have hands on coding experience (versus using AI solutions)
 
Description:
MSAT Material Science is seeking a scientist to drive raw material quality and traceability initiatives that support regulatory compliance and dependable manufacturing outputs. 
This candidate will provide technical support to the MSAT Material Science team on a variety of deliverables critical to successful technical materials deliverables. 
This role will support a range of activities including investigations, specification development, material qualification, change control and technology transfer support, analytical method evaluation and data driven traceability efforts. 
The role will collaborate closely with Process, Planning, Manufacturing, Quality, Supply Chain/Procurement, Supplier Quality, and IT/data teams to improve raw material traceability, resolve material issues, and produce regulatory quality documentation.
Key responsibilities
Support the MSAT Material Science team on material related investigations and deviation analyses: gather and analyze manufacturing and analytical data, contribute to technical assessments, and help implement solutions as applicable.
Assist MSAT Material Science in developing and revising raw material specifications: draft language, define acceptance criteria, compile technical justification, compendial review and coordinate SME deliverables.
Support material qualification and requalification activities on behalf of the MSAT Material Science team: prepare qualification plans/protocols, coordinate testing with internal or external labs/vendors, analyze returned data, and draft qualification reports.
Provide technical input for change controls: prepare technical assessments, perform impact and risk evaluations, coordinate verification/validation activities, and compile evidence for closure.
Support technology transfer activities: prepare transfer documentation, align material requirements between development and manufacturing, and coordinate post transfer monitoring and follow up.
Contribute to material traceability and data mapping initiatives: work with Process, Planning, and IT/data teams to map raw material usage to manufacturing campaigns and produce actionable visualizations.
Interface with Supplier Quality and Procurement to support vendor qualification, incoming material review, sample evaluations, and supplier investigations.
Prepare and maintain regulatory grade documentation on behalf of MSAT Material Science: investigation summaries, specifications, test method rationales, SOPs, qualification packages, and technical reports.
Support audits and inspections by preparing evidence, supporting response to technical queries, and assisting in closure of material related findings under Quality oversight.
Communicate findings and recommendations to the MSAT Material Science team, cross functional partners, and leadership; present at technical meetings as required.
Mentor and guide junior staff, contractors, or interns on data review, documentation standards, and investigation best practices.
Qualifications
Advanced degree in Materials Science, Chemical Engineering, Chemistry, Polymer Science, or closely related discipline preferred; Master's with 3-5+ years experience. PhD with 0-3+ years experience.
Experience coordinating testing with external/internal analytical labs and interpreting lab reports.
Knowledge of GMP principles, validation strategies, and risk assessment methodologies (e.g., FMEA).
Familiarity with supplier qualification practices and vendor communications.
Demonstrated experience supporting material investigations, specification setting, qualification oversight, change control, and tech transfer in a regulated manufacturing environment (pharma, biotech, medical device, or related) preferred.
Strong data analysis skills and ability to synthesize manufacturing and analytical datasets to support root cause and risk assessments.
Proven technical writing skills for regulatory grade reports, specifications, and protocols.
Experience collaborating with Process, Planning, Manufacturing, Quality, Supply Chain/Procurement, Supplier Quality, and IT/data teams.
Familiarity with electronic quality systems (eQMS, LIMS), manufacturing systems (MES), SAP and common data tools (Excel, Python/R, JMP, or similar).
Prior industry experience in MSAT or material science support roles within regulated manufacturing preferred.