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Internship Python R Jobs in Pennsylvania (NOW HIRING)

Aegon

Actuarial Intern (Summer 2027)

Philadelphia, PA · Hybrid

$24 - $29/hr

Knowledge of R, Python, or similar database applications * Familiarity with MS Access or other ... Interns will work hybrid in Baltimore, MD, Cedar Rapids, IA, or Philadelphia, PA. Specific location ...

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Internship Python R information

What is the difference between Internship Python R vs Data Analyst?

AspectInternship Python RData Analyst
Required SkillsBasic Python and R programming, data manipulationData analysis, SQL, visualization tools
Work EnvironmentInternship setting, entry-level projectsFull-time, corporate or research settings
CertificationsOptional, often includes online coursesOften requires or prefers certifications in data analysis or related fields

Internship Python R roles are entry-level positions focusing on learning and assisting with data projects using Python and R. Data Analyst roles are more advanced, involving comprehensive data analysis, reporting, and decision-making. Internships serve as a stepping stone toward full Data Analyst positions, which require more experience and skills.

What types of projects or tasks can I expect to work on during a Python/R internship?

As a Python/R intern, you’ll typically assist with data analysis, data cleaning, and visualization projects, often working alongside experienced data scientists or analysts. Many internships involve using Python or R to automate data processing, support research efforts, or build basic machine learning models. You may also contribute to documentation, testing code, and presenting findings to your team. This hands-on experience is designed to strengthen your programming skills and expose you to collaborative workflows common in data-driven environments.

What is an internship Python R?

Internship Python R positions are entry-level opportunities for students or recent graduates to gain practical experience working with Python and R programming languages. These internships typically involve tasks such as data analysis, scripting, software development, or research projects that utilize Python and R for statistical computing and data manipulation. Interns learn valuable skills in coding, problem-solving, and collaborating on real-world projects, often in fields like data science, finance, healthcare, or academia. They provide a stepping stone for building a career in technology or data-driven industries.

What are the key skills and qualifications needed to thrive as an internship Python R, and why are they important?

To thrive in a Python/R internship, you need foundational knowledge in programming with Python and R, basic statistics, and a relevant academic background in computer science, data science, or a related field. Familiarity with data analysis libraries (like pandas, NumPy, tidyverse), version control systems (such as Git), and data visualization tools is typically required. Strong problem-solving abilities, attention to detail, and the willingness to learn make candidates stand out. These skills are crucial for effectively contributing to data-driven projects and adapting to the learning-focused environment of an internship.
Internship Python R jobs near you

Junior Strategic Analyst

Perpay - Career's Page

Philadelphia, PA • On-site

Full-time

Re-posted 18 days ago

Job description

About the Role:

Perpay is seeking a driven Analyst to join our team as a key player in growing our impact on our customers' financial futures. You will take on a pivotal role in breaking down complex business problems from across our organization, using data to uncover the factors at play, and formulating recommendations to help us take action intelligently. 

In this role, you'll collaborate broadly and present your insights directly to company leadership. Your ability to think critically, dive deep into data, and communicate insights effectively will have a lasting impact on our organization's success. With the freedom to independently drive projects in a fast-paced, high-growth environment, you'll play a central role in building data-informed strategies that enhance our business.

This role is a perfect fit for someone who thrives amidst ambiguity, loves tackling tough problems, and wants to help build something big. 

Our greatest strength is our people and we'd love for you to be one of them!

Responsibilities:
  • Analyze Complex Business Problems: Partner with stakeholders from across the business to define challenges, identify opportunities, and deliver data-driven insights.
  • Deliver Executive-Ready Recommendations: Translate analysis into clear, compelling recommendations, presenting them directly to senior leadership and influencing decision-making at the highest level.
  • Collaborate Cross-Functionally: Build strong relationships across teams to ensure data insights are actionable and impactful, fostering trust in our analytics team.
  • Dive Deep into Data: Write and execute advanced SQL queries and leverage Python or R to extract and analyze data, uncover trends, and solve problems with precision.
  • Support Business Growth: Develop analytics-backed strategies to grow our impact, improve operational efficiency, and unlock opportunities for our customers and organization.
  • Build Scalable Solutions: Contribute to the development of self-service BI tools and dashboards that empower teams to make data-informed decisions.
  • Thrive in Ambiguity: Drive projects forward with minimal direction, navigating uncertainty with creativity and determination to uncover solutions.
What You'll Bring:
  • Undergraduate or master's degree in a quantitative/STEM field (graduated in 2024-2026), or equivalent relevant experience
  • Experience framing and then solving problems through data analysis and quantitative thinking
  • Experience with Python and SQL
  • Impactful internship experience 
  • Ability to communicate recommendations effectively verbally and in writing 
  • Comfort in driving a project forward independently amidst ambiguity and change
  • Ability to collaborate and build trust in a team setting 
Preferred qualifications:
  • Experience presenting to C-Level executives
  • Experience at a startup (especially in financial technology)
  • Experience with Business Intelligence tools e.g. Domo, Power BI, Tableau
  • Experience with Git and Github

Hey, we know not everybody checks all the boxes, so if you're interested, please apply because you could be just what we're looking for!

Apply