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Graduate Data Science Intern Jobs in Philadelphia, PA

Summary This role manages a team of data scientists responsible for a portfolio of diagnostic ... Graduate degree preferred. Special Factors Sponsorship Vanguard is offering visa sponsorship for ...

Summary This role manages a team of data scientists responsible for a portfolio of diagnostic ... Graduate degree preferred. Special Factors Sponsorship Vanguard is offering visa sponsorship for ...

Summary This role manages a team of data scientists responsible for a portfolio of diagnostic ... Graduate degree preferred. Special Factors Sponsorship Vanguard is offering visa sponsorship for ...

Employee discount programs Posting Summary The Graduate Program in Data Science at Rutgers University-Camden seeks new lecturers for Spring 2026 and/or Summer 2026 semester(s) to teach various Data ...

Position Details Position Information Recruitment/Posting Title Lecturers, Data Science Department ... graduate, and doctoral levels and 1,100 faculty and staff members. Located in Camden, N.J ...

Data Science - (College of Health and Sciences) Opening Date: 01/25/2024 Join our vibrant community ... graduate, professional, and seminary programs. The university's main campus is located in St.

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Graduate Data Science Intern information

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$12

$22

$42

How much do graduate data science intern jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for graduate data science intern 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 does a graduate data science intern do?

A Graduate Data Science Intern assists data science teams by analyzing large datasets, developing predictive models, and supporting data-driven decision-making. They often work with programming languages like Python or R, and use tools such as SQL, Excel, and machine learning libraries. Interns contribute to real-world projects, gain hands-on experience in data analysis, and help communicate findings to stakeholders. This role serves as a bridge between academic learning and practical application in the workplace.

What are the key skills and qualifications needed to thrive as a graduate data science intern?

To thrive as a Graduate Data Science Intern, you need foundational knowledge in statistics, machine learning, and data analysis, typically supported by a degree in a quantitative field. Familiarity with programming languages like Python or R, experience with data visualization tools, and understanding of databases are often required. Strong problem-solving abilities, curiosity, and effective communication help interns collaborate and present insights clearly. These skills enable interns to extract actionable information from data and contribute value to team projects.

What types of projects do graduate data science interns typically work on, and how do these projects support their professional development?

Graduate Data Science Interns often work on real-world data analysis projects such as building predictive models, cleaning and visualizing data, or assisting with machine learning algorithm implementation. These projects are usually part of larger team initiatives and provide interns with hands-on experience using industry-standard tools and methodologies. Collaborating closely with data scientists, engineers, and business stakeholders, interns gain exposure to the end-to-end data science workflow and receive mentorship to support their growth. This experience not only enhances their technical skills but also helps them develop problem-solving and communication abilities crucial for future career advancement.

What is the difference between Graduate Data Science Intern vs Data Analyst Intern?

AspectGraduate Data Science InternData Analyst Intern
Required CredentialsTypically pursuing or recently completed a degree in Data Science, Statistics, or related fieldOften pursuing or recently completed a degree in Data Analysis, Business, or related field
Work EnvironmentResearch-focused, data modeling, machine learning projects, collaborative teamsData collection, cleaning, reporting, visualization tasks
Employer & Industry UsageTech companies, finance, healthcare, academiaRetail, marketing, consulting, finance

The Graduate Data Science Intern role typically involves working on machine learning models and advanced analytics, requiring a background in data science or related fields. In contrast, Data Analyst Interns focus more on data cleaning, visualization, and reporting. Both roles are entry-level, often in similar industries, but differ in technical depth and project scope.

Is a graduate data science internship worth it?

A graduate data science internship provides practical experience with tools like Python and SQL, enhances skills in data analysis and machine learning, and can improve job prospects after graduation. It offers exposure to real-world projects and professional environments, which are valuable for career development.

What are popular job titles related to Graduate Data Science Intern jobs in Philadelphia, PA?

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

What cities near Philadelphia, PA are hiring for Graduate Data Science Intern jobs?

Cities near Philadelphia, PA with the most Graduate Data Science Intern job openings:

Infographic showing various Graduate Data Science Intern job openings in Philadelphia, PA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $47,235 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

Re-posted 3 days ago


Key responsibilities

  • Help design and deliver data-driven solutions that power smart lighting and shading systems.

  • Communicate complex ideas across all levels of organization using data-visualization techniques and support tools like Jupyter Notebooks, Python, and R.

  • Drive active projects in partnership with cross-functional teams and learn to apply new tools and technologies to enhance system performance, reliability, and scalability.


Lutron Electronics rating

8.4

Company rating: 8.4 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

35th of 161 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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