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Data Science Co Op Jobs (NOW HIRING)

Campbell's

Data Engineer, DA&AI Co-Op

Camden, NJ

$115K - $138K/yr

Data Engineer / AI Engineer (Co-op) We are seeking a motivated and curious Data Engineer / AI ... 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

Data Engineer / AI Engineer (Co-op) We are seeking a motivated and curious Data Engineer / AI ... Mentorship from senior AI Engineers and Data Scientists working on enterprise-scale deployments.

True Manufacturing

AI Analyst Co-op

O Fallon, MO

$23/hr

Collaborate with software engineers and data scientists on AI-driven features. * Document findings ... The AI Analyst Co-op is an office-based role. Regular, predictable on-site attendance is required.

Campbell Soup Company

Data Engineer, DA&AI Co-Op

Camden, NJ · On-site

$115K - $138K/yr

Data Engineer / AI Engineer (Co-op) We are seeking a motivated and curious Data Engineer / AI ... 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

Data Engineer / AI Engineer (Co-op) We are seeking a motivated and curious Data Engineer / AI ... 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

Data Engineer / AI Engineer (Co-op) We are seeking a motivated and curious Data Engineer / AI ... Mentorship from senior AI Engineers and Data Scientists working on enterprise-scale deployments.

Whoi

Engineering CO-OP 2026 AOPE

Falmouth, MA

$27.50/hr

... data science and many others. Students in the engineering and science fields with an interest in marine engineering and science who are looking for positions to satisfy a co-op or other requirements ...

Dana

IT Co-Op

Novi, MI

$14.25 - $18.75/hr

The IT Co Op will collaborate with IT teams and business stakeholders to support operational ... Information Technology, Information Systems, Computer Science, Software Engineering, Data Science ...

True Manufacturing

AI Analyst Co-op

O Fallon, MO · On-site

$23/hr

Collaborate with software engineers and data scientists on AI-driven features. * Document findings ... The AI Analyst Co-op is an office-based role. Regular, predictable on-site attendance is required.

True Manufacturing

AI Analyst Co-op

O Fallon, MO

Collaborate with software engineers and data scientists on AI-driven features. * Document findings ... The AI Analyst Co-op is an office-based role. Regular, predictable on-site attendance is required.

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All JobsData Science Co Op Jobs

Data Science Co Op information

See salary details

$37.5K

$122.7K

$196.5K

How much do data science co op jobs pay per year?

As of Jun 29, 2026, the average yearly pay for data science co op in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is the 80 20 rule in data science?

The 80/20 rule in data science suggests that roughly 80% of the results come from 20% of the efforts or data. Data scientists often use this principle to focus on the most impactful features, data subsets, or models to improve efficiency and outcomes in their analyses.

Is 40 too late for data science?

Data science co-ops and entry-level roles often value skills and relevant experience over age, so starting a career at 40 is not too late. Many professionals successfully transition into data science later in life by learning programming languages like Python or R, gaining certifications, and building portfolios. Age should not be a barrier if you develop the necessary technical skills and stay current with industry tools and trends.

Which is better, DS or CS?

Data Science Co-ops focus on analyzing data, building models, and applying statistical tools, often requiring skills in programming, statistics, and data visualization. Computer Science roles emphasize software development, algorithms, and system design, typically involving programming languages like Java or C++. Both fields offer valuable career paths, but the choice depends on your interests in data analysis versus software engineering.

What kinds of projects or tasks can I expect to work on as a Data Science Co Op?

As a Data Science Co Op, you may be involved in a variety of projects such as data cleaning, exploratory data analysis, building predictive models, or generating data visualizations to support business decisions. You’ll often work alongside more experienced data scientists, analysts, and cross-functional teams to collaboratively solve real-world problems using data. This role typically emphasizes hands-on learning and practical application of analytical techniques, offering a great opportunity to develop your technical and communication skills. In addition, you may participate in regular meetings, present findings, and contribute to ongoing research or product development initiatives.

What are the key skills and qualifications needed to thrive in the Data Science Co Op position, and why are they important?

To succeed as a Data Science Co Op, you should have a solid understanding of statistics, data analysis, and programming, typically gained through coursework or relevant experience in computer science, mathematics, or related fields. Familiarity with tools such as Python or R, SQL databases, and data visualization libraries is highly valuable, and experience with machine learning platforms or certifications can be advantageous. Effective communication, problem-solving, and a collaborative mindset help you excel in team-oriented, fast-paced environments. These competencies are crucial for analyzing complex datasets, delivering actionable insights, and supporting business decision-making.

Is 30 too late for data science?

Data science Co Op roles often target students or early-career individuals, but age is not a strict barrier. Many professionals transition into data science later in their careers by acquiring relevant skills such as programming, statistics, and tools like Python or R, and completing certifications or projects to demonstrate expertise.

What is a Data Science Co Op job?

A Data Science Co-Op is a temporary, structured work experience program for students or early-career professionals to apply data science skills in a real-world setting. Co-Ops typically last several months and involve tasks such as data analysis, machine learning model development, and visualization. Participants work closely with data teams, gaining hands-on experience with tools like Python, SQL, and cloud platforms. Unlike internships, Co-Op positions may be full-time for a semester and often offer deeper engagement with projects. This experience helps build technical skills, industry knowledge, and professional connections for future career opportunities.

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Data Science Co Op jobs near you
Data Engineer, DA&AI Co-Op

Data Engineer, DA&AI Co-Op

Pepperidge Farm, Incorporated

Camden, NJ • On-site

$115K - $138K/yr

Full-time

Posted 17 days ago

Key responsibilities

  • Assist in building and testing AI agents designed to automate internal workflows or enhance data retrieval processes.

  • Provide feedback to enhance and optimize the output of AI agents.

  • Experiment with and refine system prompts to improve the accuracy and reliability of outputs.

Pepperidge Farm rating

7.7

Company rating: 7.7 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

105th of 388 rated food and drinks producers

Job description

Since 1869, we've connected people through food they love. We're proud to be stewards of amazing brands that people trust. Our portfolio includes the iconic Campbell's brand, as well as Cape Cod, Chunky, Goldfish, Kettle Brand, Lance, Late July, Pacific Foods, Pepperidge Farm, Prego, Pace, Rao's Homemade, Snack Factory, Snyder's of Hanover.Swanson, and V8.

Here, you will make a difference every day. You will be supported to build a rewarding career with opportunities to grow, innovate and inspire. Make history with us.

Data Engineer / AI Engineer (Co-op)

We are seeking a motivated and curious Data Engineer / AI Engineer to join our team. This co-op / internship offers hands-on experience at the forefront of Generative AI and automation. You will have the opportunity to learn and work with cutting-edge technologies within our Agentic Frameworks to refine their usage in a modern Databricks environment. If you are passionate about the future of AI and eager to build "intelligent" systems, we want to hear from you!

Key Responsibilities

  • Prototype AI Agents: Assist in building and testing AI agents designed to automate internal workflows or enhance data retrieval processes.
  • AI Training: Provide feedback to enhance and optimize the output of agents.
  • Prompt Engineering & Tuning: Experiment with and refine system prompts to improve the accuracy and reliability of outputs.
  • Monitor Model Performance: Identify "hallucinations" or inconsistencies in AI responses and suggest improvements for model grounding.
  • Collaborate with Agile Teams: Work with cross-functional teams to integrate AI capabilities into existing enterprise applications and participate in Agile ceremonies.
  • Explore Emerging AI Tools: Research and test new frameworks in the Agentic AI space under the guidance of senior AI and Data Engineers.
  • Document AI Architectures: Help document model schemas, API integrations, and AI governance standards.

Learning & Development Opportunities

  • Hands-on training in Generative AI and Agentic technologies.
  • Mentorship from senior AI Engineers and Data Scientists working on enterprise-scale deployments.
  • Practical experience building on Cloud/SaaS infrastructure (e.g., Azure, Databricks, Snowflake).

Qualifications

  • Current graduate student in Computer Science, Data Science, Artificial Intelligence, Mathematics, or a related field
  • Foundational programming skills in Python and an understanding of SQL.
  • Familiarity with AI concepts through coursework or personal projects.
  • Excellent problem-solving skills and a high degree of technical curiosity.
  • Eager to learn in a rapidly evolving field and able to adapt to new tools quickly.

The Company is committed to providing equal opportunity for employees and qualified applicants in all aspects of the employment relationship, including consideration for employment, without regard to race, color, sex, sexual orientation, gender identity, national origin, citizenship, marital status, protected veteran status, disability, age, religion, or any other classification protected by law.

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