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Internship Python Data Science Jobs in New York City, NY

mthree

Python Developer/Data Engineer

New York, NY · On-site

$55 - $75.75/hr

Data Science and DevOps areas. Our Expert program offers experienced professionals access to top ... Proficiency in Python, with a strong understanding of object-oriented programming principles.

Omnicom

Data Science Director

New York, NY · On-site

Data Science and AI The Data Science team is pivotal in the delivery of modern agency services. We ... Hands-on programming language skills (SQL, Python, R, etc) * Experienced in machine learning ...

mthree

Python Developer/Data Engineer

New York, NY · On-site

$55 - $75.75/hr

Data Science and DevOps areas. Our Expert program offers experienced professionals access to top ... Proficiency in Python, with a strong understanding of object-oriented programming principles.

Pwc

AIT - AI Data Scientist Manager

New York, NY

$99K - $297K/yr

... Python, data science libraries, model validation methods, and modern AI/ML approaches, including generative AI where relevant, to communicate actionable insights to business and technical ...

Grubhub

Senior Staff Data Scientist

New York, NY · On-site

Proficiency in Python, data analysis, visualization, and writing scalable, production-ready code using object-oriented design. * Demonstrated ability to take data science, ML, or causal inference ...

Omnicom

Manager, Data Science

New York, NY · On-site

Data Science and Analytics The Data Science team is pivotal in the delivery of modern agency ... Hands-on programming language skills (SQL, Python, R, etc) * Intermediate exposure to machine ...

Omnicom

Manager, Data Science

New York, NY · Hybrid

Data Science and Analytics The Data Science team is pivotal in the delivery of modern agency ... Hands-on programming language skills (SQL, Python, R, etc) * Intermediate exposure to machine ...

Stryker

Data Science Intern - Remote

Newark, NJ · On-site

$35/hr

What You Get Out of the Internship At Stryker, we believe that developing the next generation of ... By leveraging tools like Python, SQL, and data visualization platforms, the intern will contribute ...

Stryker

Data Science Intern - Remote

Newark, NJ · On-site

$35/hr

What You Get Out of the Internship At Stryker, we believe that developing the next generation of ... By leveraging tools like Python, SQL, and data visualization platforms, the intern will contribute ...

Stryker

Data Science Intern - Remote

Long Island City, NY · On-site

$35/hr

What You Get Out of the Internship At Stryker, we believe that developing the next generation of ... By leveraging tools like Python, SQL, and data visualization platforms, the intern will contribute ...

Stryker

Data Science Intern - Remote

Yonkers, NY · On-site

$35/hr

What You Get Out of the Internship At Stryker, we believe that developing the next generation of ... By leveraging tools like Python, SQL, and data visualization platforms, the intern will contribute ...

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All JobsPython Data Science JobsInternship Python Data Science JobsInternship Python Data Science Jobs in New York City, NY

Internship Python Data Science information

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

As of Sep 8, 2026, the average hourly pay for internship python data science in New York City, NY is $24.62, according to ZipRecruiter salary data. Most workers in this role earn between $18.94 and $26.83 per hour, depending on experience, location, and employer.

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 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 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 are the most commonly searched types of Python Data Science jobs in New York City, NY?

The most popular types of Python Data Science jobs in New York City, NY are:

What are popular job titles related to Internship Python Data Science jobs in New York City, NY?

For Internship Python Data Science jobs in New York City, NY, the most frequently searched job titles are:

What job categories do people searching Internship Python Data Science jobs in New York City, NY look for?

The top searched job categories for Internship Python Data Science jobs in New York City, NY are:

What cities near New York City, NY are hiring for Internship Python Data Science jobs?

Cities near New York City, NY with the most Internship Python Data Science job openings:

Internship Python Data Science jobs near you
Infographic showing various Internship Python Data Science job openings in New York City, NY as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $51,211 per year, or $24.6 per hour.

Data Science Machine Learning Internship (Summer 2027)

Castleton Commodities International LLC

Stamford, CT • On-site

Full-time

Re-posted 18 days ago

Job description

Application Deadline: September 1, 11:59pm EST

Program Summary - Commercial Technology Internships

Company Overview:

Castleton Commodities International is a leading global energy commodities merchant and infrastructure asset investor. As a trader, CCI deploys capital on a proprietary basis in the physical and financial commodity markets, providing the Company with market insights and access. As a strategic investor and developer, CCI leverages its market expertise, operations capabilities, and industry knowledge to invest in, and develop, select commodity infrastructure assets. Our strategically integrated platform has generated strong risk-adjusted returns for our investors since our formation.

Position Overview:

CCI is developing a leading-edge Data Science platform, as staying at the forefront of data management and analytics is essential to our investment strategy. We are looking for motivated and detail-oriented Machine Learning Interns with a strong interest in quantitative analysis, particularly time series forecasting to join our Global Data Science team in Stamford, CT, Houston, TX, or New York City offices. Our Machine Learning Internship provides a unique opportunity to work with fundamental market data, generating insights that support our commercial trading business. You will be responsible for analyzing time series data related to market fundamentals in the Power, Natural Gas, and Oil sectors, helping to identify key supply and demand drivers. These insights will play a vital role in forecasting price movements and supporting risk management decisions.

Responsibilities:

  • Apply mathematical and statistical knowledge to enhance existing machine learning applications and explore new solutions.
  • Work closely with Data Scientists, Analysts, and Traders to design, implement, and optimize machine learning models for time series forecasting, including ARIMA/SARIMA, gradient boosting methods (e.g., XGBoost), LSTM networks, and linear regression-based approaches.
  • Assist in designing and implementing end-to-end data ingestion processes, ensuring seamless data flow to investing teams.
  • Work with desk heads, traders, and analysts to understand current data architecture, investment processes, and functional requirements for data science analysis.
  • Contribute to identifying and back-testing new data sets, leveraging machine learning techniques to drive insights.
  • Conduct ad hoc research on emerging project topics, including energy fundamental data, analytics trends, and best practices in big data and artificial intelligence.

Qualifications:

  • Currently pursuing a Bachelor's Degree or higher in Mathematics, Statistics, Physics, Computer Science or related technical field with a focus in Machine Learning.
  • Expected graduation date of Winter 2027 or Spring/Summer 2028.
  • Experience applying machine learning techniques such as regression, time series forecasting, deep learning, reinforcement learning, or predictive modeling to solve problems involving complex data patterns and market dynamics.
  • Strong programming experience in Python (preferred libraries: Pandas, NumPy, etc.)
  • Ability to communicate and interact with a wide range of users, from very technical to non-technical backgrounds.
  • Strong analytical skills with demonstrated attention to detail.

Apply