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Python Programming Intern Jobs in Newtown Square, PA

Villanova University

Mentor

Villanova, PA · On-site

$27.58 - $29.12/hr

Temp/Intern Location: Villanova, PA Work Schedule: temporary Approximate Number of Hours per Week 5 ... The program will bring together K-12 teachers, engineering students, and AI professionals to mentor ...

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Python Programming Intern information

What is the difference between Python Programming Intern vs Data Science Intern?

AspectPython Programming InternData Science Intern
Required SkillsPython, basic programming, scriptingPython, statistics, data analysis
Work EnvironmentDevelopment projects, coding tasksData analysis, modeling, research
Industry UsageSoftware, tech companies, startupsFinance, healthcare, tech

The Python Programming Intern typically focuses on coding and software development using Python, often in tech or startup environments. In contrast, a Data Science Intern combines Python skills with data analysis and statistical methods to derive insights. Both roles require Python knowledge but differ in their focus and application areas, making them distinct yet related entry-level positions in the tech industry.

What are the key skills and qualifications needed to thrive as a Python Programming Intern, and why are they important?

To thrive as a Python Programming Intern, you need a foundational understanding of Python syntax, problem-solving abilities, and a basic grasp of software development principles, often evidenced by relevant coursework or personal projects. Familiarity with tools like Git, Jupyter Notebook, and frameworks such as Flask or Django is typically expected. Strong communication, eagerness to learn, and teamwork skills help interns adapt quickly and collaborate effectively. These skills and qualities are vital for successfully contributing to real-world projects, learning from mentors, and building a foundation for a software development career.

What does a Python Programming Intern do?

A Python Programming Intern assists with software development tasks using the Python programming language. Typical responsibilities include writing and testing code, debugging software, collaborating with team members on projects, and learning best practices for coding and version control. Interns often work on real-world projects to gain hands-on experience and improve their programming skills. They may also participate in meetings, contribute to documentation, and support the development team in various tasks.

What types of projects can I expect to work on as a Python Programming Intern, and how are they typically structured?

As a Python Programming Intern, you will often be assigned to real-world projects such as data analysis scripts, web application features, or automation tools, depending on the organization's focus. These projects are usually structured with clear objectives and milestones, and you'll likely collaborate with more experienced developers through code reviews and regular check-ins. You can expect to work both independently and as part of a team, gaining exposure to professional codebases, version control systems like Git, and agile development practices. This hands-on experience is designed to help you build practical skills while contributing meaningfully to the team's goals.
What cities near Newtown Square, PA are hiring for Python Programming Intern jobs? Cities near Newtown Square, PA with the most Python Programming Intern job openings:
Python Programming Intern jobs near you
Quantitative Systematic Trading Internship - PhD: Summer 2027

Quantitative Systematic Trading Internship - PhD: Summer 2027

Susquehanna International Group, LLP

Philadelphia, PA • On-site

Full-time, Temporary, Internship

Re-posted 25 days ago

Job description

Overview
As a Quantitative Systematic Trading Intern at Susquehanna, you will work on projects that model the work of our full-time employees. You will also go through a comprehensive education program and interact with mentors who are at the top of their field, allowing you to build foundational knowledge in quantitative finance. You will have the opportunity to build alphas on an actual trading strategy.
What you can expect
  • Modelling. Apply probability theory, statistical analysis, and machine learning techniques to predict market behavior and generate alphas
  • Execution. Create strategies to execute on modelling ideas under simulated competition
  • Evaluation. Backtest ideas using historical market data and revise strategies
  • Breadth. Explore all aspects of quant work and different areas of Susquehanna's business
  • Education. Participate in a comprehensive education program and receive personalized mentorship from experienced professionals to accelerate your growth
  • Collaboration. Work in an open environment that allows you to collaborate with multiple teams and get exposure to different groups and parts of the business

Susquehanna combines all of the above to provide the best quant internship program in the industry. Join us to see why so many previous quant interns decide to return for a full-time career.
What we're looking for
  • PhDs (in penultimate or final year) in quantitative fields such as Mathematics, Physics, Statistics, Electrical Engineering, Computer Science, Operations Research, or Economics
  • Analytical problem-solvers with excellent logical reasoning and a passion for turning data into decisions
  • Clear communicators in a fast-paced and highly collaborative environment
  • Programmers comfortable processing and analyzing large data sets in Python; experience with C++ (or another low-level language) is a plus
  • Strategic thinkers with demonstrated interests in strategic games and/or competitive activities
  • Self-motivated and quick to learn, thriving in dynamic, fast-moving environment

By applying to this role, you will be automatically considered for the Quantitative Research Internship program. There is no need to apply to both positions to be considered for both.
About Susquehanna
Susquehanna is a global quantitative trading firm powered by scientific rigor, curiosity, and innovation. Our culture is intellectually driven and highly collaborative, bringing together researchers, engineers, and traders to design and deploy impactful strategies in our systematic trading environment. To meet the unique challenges of global markets, Susquehanna applies machine learning and advanced quantitative research to vast datasets in order to uncover actionable insights and build effective strategies. By uniting deep market expertise with cutting-edge technology, we excel in solving complex problems and pushing boundaries together.
If you're a recruiting agency and want to partner with us, please reach out to recruiting@sig.com. Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee.
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