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Internship Python Pandas Jobs in Manhattan, NY (NOW HIRING)

Wand

Product Data Analyst

New York, NY · Remote

$145K - $175K/yr

... internships) * SQL fluency -- complex joins, incremental computation, window functions, query optimization; comfortable with large, messy datasets * Python for analysis -- pandas and statistical ...

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Internship Python Pandas information

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How much do internship python pandas jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for internship python pandas in Manhattan, NY is $64.70, according to ZipRecruiter salary data. Most workers in this role earn between $53.32 and $73.51 per hour, depending on experience, location, and employer.

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

To thrive in a Python Pandas internship, you need a solid understanding of Python programming, data manipulation, and familiarity with the Pandas library, often supported by coursework or personal projects in data analysis. Experience with tools such as Jupyter Notebook, NumPy, and version control systems like Git is commonly expected. Strong problem-solving skills, attention to detail, and the ability to communicate findings clearly will help you stand out. These skills and qualities are crucial for efficiently handling real-world datasets, contributing to team projects, and delivering actionable insights.

What types of projects and tasks can I expect to work on during a Python Pandas internship?

As a Python Pandas intern, you will typically work on data-driven projects such as data cleaning, transformation, analysis, and visualization. You might assist in preparing datasets for machine learning models, generating reports, or automating data workflows using Pandas and related libraries. Interns often collaborate with data scientists or analysts, gaining hands-on experience with real-world datasets and contributing to team objectives. This role offers a supportive environment to develop technical skills and learn industry best practices while making a meaningful impact.

What is an internship Python Pandas?

Internship Python Pandas positions are entry-level roles designed for students or recent graduates to gain hands-on experience working with Python and the Pandas library. These internships typically involve tasks like data cleaning, analysis, and manipulation using Pandas, often within the context of real-world projects. Interns may work on data-driven applications or support teams in preparing datasets for machine learning or business intelligence. These roles help interns build practical skills in data science and software development, and often serve as a stepping stone to more advanced roles in the tech industry.

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

AspectInternship Python PandasData Analyst
Required SkillsPython, Pandas, basic data manipulationData analysis, SQL, Excel, visualization
Work EnvironmentInternship, entry-level, training-focusedFull-time, professional setting, project-driven
Industry UsageLearning phase, supporting data tasksInterpreting data, reporting, decision-making

Internship Python Pandas roles focus on learning and supporting data tasks using Python and Pandas, often as entry-level positions. Data Analysts have broader responsibilities, including interpreting data, creating reports, and making data-driven decisions. While both roles require some overlapping skills, Data Analysts typically have more experience and a wider skill set.

What are popular job titles related to Internship Python Pandas jobs in Manhattan, NY? For Internship Python Pandas jobs in Manhattan, NY, the most frequently searched job titles are:
What job categories do people searching Internship Python Pandas jobs in Manhattan, NY look for? The top searched job categories for Internship Python Pandas jobs in Manhattan, NY are:
What cities near Manhattan, NY are hiring for Internship Python Pandas jobs? Cities near Manhattan, NY with the most Internship Python Pandas job openings:
Internship Python Pandas jobs near you
Infographic showing various Internship Python Pandas job openings in Manhattan, NY as of June 2026, with employment types broken down into 3% Internship, 1% As Needed, 80% Full Time, 14% Part Time, 1% Temporary, and 1% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $134,568 per year, or $64.7 per hour.

AI Engineer Intern - AI Foundry & Digital Growth

Prophet

New York, NY • Hybrid

$1.6K/wk

Full-time, Internship

Posted 13 days ago

Job description

About the Role

MAIA is Prophet's next leap in AI - an always-available assistant that amplifies human insight. By integrating directly into our workflows, it turns AI into true Augmented Intelligence, extending our creativity, judgment, and expertise. Built on a multi-agent framework, MAIA connects specialized tools, data sources, and reasoning systems through one interface, so our people can do more, think deeper, and deliver sharper outcomes for clients.

As an AI Engineer Intern on the AI Foundry team, you'll sit inside the group building and evolving MAIA, Prophet's multi-agent AI platform, and write code that ships. This is a hands-on technical role, not a rotational program: you'll build and test agents, run evaluation protocols, contribute to client-facing applications on the platform, and take scoped problems from spec to working solution with guidance and code review from Foundry engineers.

This role sits at the intersection of technical and non-technical worlds. Most of your day-to-day colleagues at Prophet come from consulting, strategy, and design backgrounds and have learned AI on the job; the deeper technical counterparts - engineers and platform developers - sit with our external technology partners. You'll get real exposure to both, and you'll often be one of the more technical people in the room.


Your Day to Day
  • Agent Development & Testing - Build and configure agents against defined specifications: system prompts, tool definitions, and data flows. Run iterative prompt engineering and testing cycles to improve accuracy, reliability, and user experience.
  • Experimentation & Evaluation - Support experiments that validate new agent capabilities. Build test sets, run scaled testing protocols, and measure accuracy, cost, and latency so results turn into evidence rather than anecdotes.
  • Platform & Application Development - Contribute to MAIA and to client-facing applications built on it. Write and debug production-quality code, submit it for review, and act on feedback from testing cycles.
  • Technical Research & Benchmarking - Investigate specific technical questions the team is weighing - retrieval strategies, API integration patterns, knowledge graph structures - and document what you find, including tradeoffs across cost, speed, accuracy, and maintainability.
  • Instrumentation & Reporting - Help track product and system metrics (adoption, usage, latency, error rates) and pull them into executive summaries.
  • Tooling & Enablement - Improve the prompts, templates, evals, and internal workflows that make Foundry tools more useful to the wider firm, and document what you build so the next person can pick it up.
  • AI Landscape Monitoring - Stay current on LLMs, agent frameworks, and AI tooling, and surface releases or techniques that could improve MAIA or how the team works.
What You Bring
  • Recently completed a Bachelor's degree in Computer Science, Machine Learning, Data Science, Engineering, or an equivalent technical background.
  • Demonstrated building experience through coursework, personal or open-source projects, research, or a prior internship - we care more about what you've shipped than how long you've been at it.
  • Working Python and SQL, plus Git-based workflows (branches, pull requests, code review) and comfort in an editor like VS Code.
  • Hands-on experience building at least one LLM application - RAG (chunking, embeddings, retrieval) or an agent framework such as LangChain, LangGraph, or LlamaIndex - with real prompt engineering behind it.
  • Enough full-stack ability to make something usable end to end (e.g., FastAPI or Flask with a React front end, deployed on Vercel or Supabase) and to design and consume REST APIs.
  • Practical data or ML exposure - Pandas/NumPy, plus PyTorch or scikit-learn - is a strong plus, as is any exposure to containerization and cloud (Docker, AWS/GCP/Azure).
  • The instinct to check your own work - measuring whether output is accurate, fast, and affordable, not just whether it runs.
  • Structured analytical thinking and the ability to break a scoped, ambiguous problem into steps
Prophet has a hybrid working model that requires interns to be in the office 4 days per week.
Interns are paid at a weekly rate of $1610/week.
This internship has potential to immediately convert to a full-time role upon successful completion and is intended for those seeking full-time employment.

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