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Internship Python Data Science Jobs in Wilmington, DE

Data Scientist

Conshohocken, PA ยท 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 ...

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Internship Python Data Science information

See Wilmington, DE salary details

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

As of Jul 16, 2026, the average hourly pay for internship python data science in Wilmington, DE is $21.84, according to ZipRecruiter salary data. Most workers in this role earn between $16.78 and $23.80 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Internship Python Data Science, and why are they important?

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 position?

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 Wilmington, DE? The most popular types of Python Data Science jobs in Wilmington, DE are:
What are popular job titles related to Internship Python Data Science jobs in Wilmington, DE? For Internship Python Data Science jobs in Wilmington, DE, the most frequently searched job titles are:
What job categories do people searching Internship Python Data Science jobs in Wilmington, DE look for? The top searched job categories for Internship Python Data Science jobs in Wilmington, DE are:
Quantitative/Data Developer | Fixed Income | Experienced Hire

Quantitative/Data Developer | Fixed Income | Experienced Hire

Susquehanna International Group, LLP

Philadelphia, PA โ€ข On-site

Full-time

Re-posted 7 days ago


Job description

Overview
Susquehanna is seeking a Quantitative Developer with experience in Python to join our Fixed Income Technology Team.
This team focuses primarily on trading interfaces and technologies to empower the sales desk. You'll work alongside traders, quant analysts, and other technology teams to create, maintain, and enhance our proprietary trading systems.
In this role, you will:
  • Design and create proprietary software to handle mission critical trading demands, including but not limited to market data, quoting, pricing, risk, and P&L.
  • Work closely with traders and analysts to understand and iterate on requirements.
  • Work closely with various technology teams to deliver efficient and scalable solutions in a fast paced environment, which directly impacts production systems.

What we're looking for
  • At least 3 years of experience developing data tools and applications in Python is required.
  • Experience with the Python data science stack: NumPy, Pandas etc. and/or other array-oriented programming environments.
  • Prior experience in a Quant Developer role, with the ability to understand financial models and mathematical algorithms, preferred.
  • Strong interpersonal and communication skills for interacting with traders, quantitative analysts, and other software developers is required.
  • Interest in areas such as capital markets, probability, game theory and the application of IT solutions to these areas is a plus.
  • Minimum Bachelor's degree in CS, applied science, or similar preferred, advanced degree a plus.

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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