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Internship Python Data Science Jobs in Pennsylvania

Master-level tool knowledge (e.g., SQL, Python, AWS, DataRobot, AnyLogic, and other simulation ... Master-level data science industry knowledge and knowledge of the insurance marketplace. What would ...

Master-level tool knowledge (e.g., SQL, Python, AWS, DataRobot, AnyLogic, and other simulation ... Master-level data science industry knowledge and knowledge of the insurance marketplace. What would ...

Master-level tool knowledge (e.g., SQL, Python, AWS, DataRobot, AnyLogic, and other simulation ... Master-level data science industry knowledge and knowledge of the insurance marketplace. What would ...

Data Scientist

Conshohocken, PA · On-site +1

$175K/yr

Strong proficiency in Python and modern data science libraries. * Advanced SQL skills and experience working with large-scale, complex datasets. * Experience applying statistical analysis and ...

Strong software development skills in Python and familiarity with modern ML frameworks (e.g ... Computational Biology, Computational Chemistry, Data Engineering, Data Modeling, Data Science, Data ...

Showing results 41-60

Internship Python Data Science information

What are the key skills and qualifications needed to thrive as an internship Python data science?

To thrive as an Internship Python Data Science, you need a solid understanding of statistics, data analysis, and programming in Python, often supported by coursework or academic projects in data science or related fields. Familiarity with tools and libraries such as Pandas, NumPy, Scikit-learn, and Jupyter Notebooks is typically expected. Strong problem-solving abilities, eagerness to learn, and effective communication are valuable soft skills for standing out in this role. These skills ensure interns can analyze data, contribute to team projects, and grow quickly in a fast-evolving technical environment.

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

AspectInternship Python Data ScienceData Analyst Intern
Required SkillsPython, SQL, statistics, machine learning basicsExcel, SQL, data visualization tools
Work EnvironmentTech companies, startups, research labsBusiness, finance, marketing sectors
Typical TasksData cleaning, modeling, predictive analysisData reporting, dashboard creation, trend analysis

Internship Python Data Science and Data Analyst Intern roles share common skills like SQL and data handling but differ mainly in focus. Data Science internships emphasize programming, modeling, and machine learning, while Data Analyst internships focus on data visualization and reporting. Both are valuable entry points in data careers, often found in similar industries and work environments.

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

As a Python Data Science intern, you will often work on projects involving data cleaning, exploratory data analysis, model building, and visualization using Python libraries like pandas, NumPy, and scikit-learn. You may assist in preparing datasets, automating data pipelines, or supporting senior data scientists with real-world business problems such as customer analytics or predictive modeling. Collaboration with both technical and non-technical teams is common, providing valuable exposure to the end-to-end data science workflow and opportunities to present your findings.

What is an internship Python data science?

An Internship Python Data Science position is an entry-level role designed for students or recent graduates to gain practical experience in data science using Python. Interns typically work under the supervision of experienced data scientists, assisting with data analysis, cleaning, visualization, and sometimes building machine learning models. They may also collaborate on real-world projects, learning to use tools and libraries like pandas, NumPy, scikit-learn, and Jupyter Notebook. This internship helps individuals develop technical and analytical skills while building a foundation for a career in data science.
What are the most commonly searched types of Python Data Science jobs in Pennsylvania? The most popular types of Python Data Science jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Internship Python Data Science jobs? Cities in Pennsylvania with the most Internship Python Data Science job openings:
Infographic showing various Internship Python Data Science job openings in Pennsylvania as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Junior Data Scientist- Philadelphia District

Aramark

Philadelphia, PA

Full-time

Posted 19 days ago


Aramark rating

5.9

Company rating: 5.9 out of 10

Based on 1,265 frontline employees who took The Breakroom Quiz

389th of 485 rated business services


Job description

Job Description

Junior Data Scientist- Philadelphia, Data Science - Sports + Entertainment

Aramark Sports + Entertainment is hiring a Junior Data Scientist based in Philadelphia to support our Sports + Entertainment portfolio, including the Philadelphia Phillies, Philadelphia Eagles, Philadelphia Union, and other regional venues, to support data analysis of food and beverage trends. This position will focus on data governance, advanced analysis and modeling, and data-backed recommendations to maximize opportunity.

Please note this is an onsite position in Philadelphia and is not remote.  

About Data Science Group 
The Data Science division is the epicenter of data analytics, uncovering impactful insights that put Aramark clients in the sports and entertainment industry ahead of the curve. Using leading-edge technology and analytics, Data Science synthesizes operational and consumer data to optimize strategies that enhance the guest hospitality experience and blaze a trail for innovation.  Through continuous expansion of analytical capabilities and a comprehensive method of understanding the industry at large, Data Science harnesses the power of data as the most strategic asset in maximizing value for consumers, operators, and businesses alike.

Job Responsibilities

   Analyze consumer behavior across Philadelphia venues by leveraging purchasing and dining data to identify key customer segments. Present insights using statistical methods and engaging visualizations tailored to diverse stakeholder audiences.
   Evaluate operational performance by integrating data from labor tracking, Point of Sale (POS), and inventory systems. Identify inefficiencies and recommend actionable improvements to enhance venue operations. 
   Conduct ad-hoc analyses to assess the effectiveness of short-term strategies. Collaborate with cross-functional teams to define success metrics and deliver timely, data-backed evaluations.
   Support the development of automated reporting workflows that deliver key performance metrics to stakeholders across Philadelphia-area venues, including Citizens Bank Park, Lincoln Financial Field, Subaru Park, and more.
   Assist in building scalable data pipelines using Python, R, and SQL to streamline data access and support analytics and reporting initiatives.
   Assist in the development of AI-powered applications and agentic workflows that automate operational tasks, orchestrate business processes, and deliver actionable recommendations to end users.
   Perform machine learning experiments and model evaluation tasks under the guidance of the team's Senior Manager of Data Science.

Qualifications

   Bachelor's degree in Mathematics, Statistics, Computer Science, Data Science, or a related field; equivalent practical experience may be considered. 
   1-3 years of experience in an analytical or data science role. 
   Proficiency in data manipulation and transformation using Python or R. 
   Familiarity with SQL for data querying and analysis. 
   Knowledge of data science workflows including data cleaning, feature engineering, and predictive modeling. 
   Effective organizational and time management skills, with the ability to manage multiple projects simultaneously.
   Solid understanding of statistics, experimental design, and core data science concepts. 
   Strong communication skills with the ability to present findings and recommendations to technical and non-technical audiences.
Preferred Qualifications:
   Master's degree in a quantitative discipline.
   Experience with data visualization tools (e.g., Power BI) and interactive app development (e.g., Streamlit, RShiny) is a plus.
   Familiarity with cloud-based data platforms (e.g., Snowflake) is a plus.
   Working knowledge of Git and version control best practices is a plus.
   Experience building AI agents or agentic workflows is a plus.

About Aramark

Our Mission

Rooted in service and united by our purpose, we strive to do great things for each other, our partners, our communities, and our planet.

At Aramark, we believe that every employee should enjoy equal employment opportunity and be free to participate in all aspects of the company. We do not discriminate on the basis of race, color, religion, national origin, age, sex, gender, pregnancy, disability, sexual orientation, gender identity, genetic information, military status, protected veteran status or other characteristics protected by applicable law.

About Aramark

The people of Aramark proudly serve millions of guests every day through food and facilities in 15 countries around the world. Rooted in service and united by our purpose, we strive to do great things for each other, our partners, our communities, and our planet. We believe a career should develop your talents, fuel your passions, and empower your professional growth. So, no matter what you're pursuing - a new challenge, a sense of belonging, or just a great place to work - our focus is helping you reach your full potential. Learn more about working here at http://www.aramarkcareers.com or connect with us on Facebook, Instagram and Twitter.


What Aramark employees say

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Aramark logo

About Aramark

Sourced by ZipRecruiter

The people of Aramark proudly serve millions of guests every day through food, facilities, and uniform services in 19 countries around the world. Rooted in service and united by our purpose, we strive to do great things for each other, our partners, our communities, and our planet. We believe a career should develop your talents, fuel your passions, and empower your professional growth. So, no matter what you're pursuing - a new challenge, a sense of belonging, or just a great place to work - our focus is helping you reach your full potential. Learn more about working here at or connect with us on Facebook, Instagram and Twitter.

Industry

Hospitality services and facilities support services

Company size

10,000+ Employees

Headquarters location

Philadelphia, PA, US