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Internship Python Data Science Jobs in New York (NOW HIRING)

Python data science skills for data manipulation, web frameworks, visualization, and Machine Learning. * Develop and deploy imaging data collection and analysis monitoring database and build Web Apps ...

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United States, Remote/Hybrid Internship Please register at Zolve Internship Portal here: Role and ... such as Python or R. * Contribute to statistical analysis, hypothesis testing, and predictive ...

This internship offers hands-on experience building and experimenting with data science and machine ... Python (pandas, numpy, scikit-learn) and SQL; familiarity with R is a plus • Familiarity with ...

Palantir Sr Data Engineer

Manhattan, NY · Hybrid

$126.20K - $151.60K/yr

... python data science, software development At least 7 + years of experience, strong in Gen AI, ML, Python, TypeScript. Palantir Foundry is an advantage. Design and implement AI/ML models tailored to ...

Also, if our previous interns are any guides, you will have a ton of fun in the process ... Experience contributing to a mature Python-centric code base. * Strong command of common data ...

Overall 10+ years of experience with data science, credit risk management experience is a definite plus * 2-4 years of credit risk modeling experience * 2+ years of experience with Python programming

Overall 10+ years of experience with data science, credit risk management experience is a definite plus * 2-4 years of credit risk modeling experience * 2+ years of experience with Python programming

Overall 10+ years of experience with data science, credit risk management experience is a definite plus * 2-4 years of credit risk modeling experience * 2+ years of experience with Python programming

Director, Data Science

New York, NY · On-site

$200K - $250K/yr

The Director, Data Science will help shape and execute data science initiatives that drive ... Advanced experience with Python, SQL, Spark, and modern machine learning frameworks (TensorFlow ...

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Internship Python Data Science information

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 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 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? The most popular types of Python Data Science jobs in New York are:
What cities in New York are hiring for Internship Python Data Science jobs? Cities in New York with the most Internship Python Data Science job openings:
Infographic showing various Internship Python Data Science job openings in New York as of May 2026, with employment types broken down into 1% Internship, 5% As Needed, 57% Full Time, 13% Part Time, 23% Contract, and 1% Nights. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution.
Python Image Analysis programmer

Python Image Analysis programmer

Intellyk

Tarrytown, NY • Hybrid

Other

Posted 20 days ago


Job description

Role: Python Image Analysis programmer (Clinical Imaging Informatics Programmer)

Location: Tarrytown, NY (Day 1 Onsite /Hybrid)

Job description:

  • Imaging informatics programmer, familiar with imaging informatics tools and environments such as DICOM, Nifti, E2E, PACS, Flywheel etc
  • Familiarity with imaging data headers and meta data; familiarity with imaging operational reports and tracking requirements; familiarity with developing databasing and WebApps tools such as SQL, R-Shinny, DataIKU etc
  • Familiarity with Database administration, such as DB tables maintenance, optimization, indexing, creating views/stored procedures based on project requirements.
  • Python data science skills for data manipulation, web frameworks, visualization, and Machine Learning.
  • Develop and deploy imaging data collection and analysis monitoring database and build Web Apps (such as Shinny App) to allow tracking of the operation and data quality