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Data Science Fall Internship Jobs in Philadelphia, PA

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.

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.

SPIN

Children's Services Internship

Philadelphia, PA · On-site

???? Children's Services Internship Program Education-Focused Internships (Fall/Winter) Our Children ... Support speech and language therapy sessions * Assist with data collection and documentation

SPIN

Children's Services Internship

Philadelphia, PA · On-site

???? Children's Services Internship Program Education-Focused Internships (Fall/Winter) Our Children ... Support speech and language therapy sessions * Assist with data collection and documentation

The Campbell's 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.

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All JobsData Science Fall JobsData Science Fall Internship JobsData Science Fall Internship Jobs in Philadelphia, PA

Data Science Fall Internship information

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How much do data science fall internship jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for data science fall internship in Philadelphia, PA is $22.71, according to ZipRecruiter salary data. Most workers in this role earn between $17.45 and $24.76 per hour, depending on experience, location, and employer.

What is a data science fall internship?

A Data Science Fall Internship is a temporary, structured work experience offered by organizations during the fall semester, designed for students or recent graduates interested in data science. Interns typically work on real-world projects involving data collection, analysis, machine learning, and visualization under the guidance of experienced data scientists. This internship provides hands-on experience, exposure to industry tools and techniques, and helps participants build valuable skills for future careers in data science. It also offers networking opportunities and a chance to explore potential career paths within the field.

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

As a Data Science Fall Intern, you can expect to work on projects involving data cleaning, exploratory data analysis, and the development of predictive models using real-world datasets. Interns often collaborate with full-time data scientists and cross-functional teams to solve business problems, such as improving user engagement, optimizing processes, or generating actionable insights from large data sets. You may also participate in regular team meetings, present findings, and contribute to ongoing research or tool development. This hands-on experience helps you build both technical and communication skills within a dynamic and supportive environment.

What are the key skills and qualifications needed to thrive as a data science fall intern, and why are they important?

To thrive as a Data Science Fall Intern, you generally need a solid foundation in statistics, programming (often Python or R), and data analysis, typically supported by coursework or experience in computer science, mathematics, or related fields. Familiarity with tools like pandas, scikit-learn, SQL, and data visualization libraries, as well as version control systems like Git, is highly valued. Strong problem-solving abilities, attention to detail, and effective communication skills help interns interpret data insights and collaborate with team members. These competencies are essential for producing actionable analyses and contributing meaningfully to data-driven projects in a short-term, fast-paced internship environment.

What is the difference between Data Science Fall Internship vs Data Analyst Intern?

AspectData Science Fall InternshipData Analyst Intern
Required CredentialsEnrolled in or recent graduate of a related field (e.g., Data Science, Computer Science, Statistics)Enrolled in or recent graduate of a related field (e.g., Data Analysis, Business, Statistics)
Work EnvironmentTech companies, startups, research labs, often collaborative and project-basedBusiness firms, consulting agencies, often focused on reporting and data visualization
Employer & Industry UsageUsed by tech firms, finance, healthcare, and academia for entry-level talentCommon in corporate, marketing, and consulting sectors for supporting decision-making

The Data Science Fall Internship and Data Analyst Intern roles share similarities in required education and work environment but differ in focus. Data Science internships emphasize machine learning, programming, and statistical modeling, while Data Analyst internships focus more on data visualization, reporting, and business insights. Both are valuable entry points into data careers, often overlapping in skills but serving different industry needs.

What are popular job titles related to Data Science Fall Internship jobs in Philadelphia, PA?

For Data Science Fall Internship jobs in Philadelphia, PA, the most frequently searched job titles are:

What job categories do people searching Data Science Fall Internship jobs in Philadelphia, PA look for?

The top searched job categories for Data Science Fall Internship jobs in Philadelphia, PA are:

What cities near Philadelphia, PA are hiring for Data Science Fall Internship jobs?

Cities near Philadelphia, PA with the most Data Science Fall Internship job openings:

Data Science Fall Internship jobs near you
Infographic showing various Data Science Fall Internship job openings in Philadelphia, PA as of August 2026, with employment types broken down into 18% Internship, 33% Full Time, 45% Part Time, and 4% Contract. Highlights an 88% In-person, 5% Hybrid, and 7% Remote job distribution, with an average salary of $47,235 per year, or $22.7 per hour.

Data Engineer, DA&AI Co-Op

Pepperidge Farm, Incorporated

Camden, NJ

$115K - $138K/yr

Full-time

Re-posted 12 days ago

Pepperidge Farm rating

6.9

Company rating: 6.9 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

240th of 443 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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