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Internship R Programming Language Jobs in New York

WallStreetQuants

Quantitative Developer Intern

New York, NY · On-site

$21 - $27.50/hr

This internship is ideal for students who enjoy building high-performance systems, solving complex ... Strong programming skills in Python, C++, Java, C#, Rust, or another modern programming language.

Avis Budget Group

Business Insights Analyst

Parsippany, NJ · On-site

$70K - $80K/yr

... internship experience in data analytic type roles. * Experience with database queries (e.g., Oracle, SQLServer) and at least one programming language (e.g. Python or R) * Knowledge of BI tools (e.g ...

JobTarget

Agentic AI Developer Intern

Stamford, CT · On-site

$27 - $30/hr

This internship is ideal for students or recent graduates with a strong computer science background ... Write clean, efficient, and well-documented code in Python or another modern programming language.

JobTarget LLC

Agentic AI Developer Intern

Stamford, CT · On-site

$27 - $30/hr

This internship is ideal for students or recent graduates with a strong computer science background ... Write clean, efficient, and well-documented code in Python or another modern programming language.

JobTarget LLC

Agentic AI Developer Intern

Stamford, CT · On-site +1

$27 - $30/hr

This internship is ideal for students or recent graduates with a strong computer science background ... Write clean, efficient, and well-documented code in Python or another modern programming language.

JobTarget LLC

Agentic AI Developer Intern

Stamford, CT · On-site

$27 - $30/hr

This internship is ideal for students or recent graduates with a strong computer science background ... Write clean, efficient, and well-documented code in Python or another modern programming language.

JobTarget LLC

Agentic AI Developer Intern

Stamford, CT · On-site

$27 - $30/hr

This internship is ideal for students or recent graduates with a strong computer science background ... Write clean, efficient, and well-documented code in Python or another modern programming language.

Mastech Digital

Data Scientist Specialist

New York, NY · Remote

$75 - $80/hr

... R programming experience to create graphical representations or simulations of data as well as ... SQL language is used for. - Ability to communicate effectively to all levels of engagement ...

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Internship R Programming Language information

What is an Internship in R Programming Language?

An Internship in R Programming Language is a temporary position designed for students or recent graduates to gain practical experience using R, a popular language for statistical computing and data analysis. Interns typically work on real-world projects involving data manipulation, statistical modeling, and data visualization under the supervision of experienced professionals. These internships help participants develop valuable technical skills, enhance their resumes, and network within the industry. They are often available in sectors like finance, healthcare, technology, and academia, where data-driven decision-making is crucial.

What is the difference between Internship R Programming Language vs Data Analyst?

AspectInternship R Programming LanguageData Analyst
Required CredentialsBasic programming skills, often pursuing or recent graduatesBachelor's degree in related field, some certifications
Work EnvironmentInternship setting, entry-level projectsFull-time or part-time professional role
Industry UsageUsed for data analysis, visualization, and statistical tasksAnalyzes data, creates reports, supports decision-making

Internship R Programming Language focuses on learning and applying R skills in a temporary, entry-level setting, often as part of an internship. Data Analysts use R among other tools to perform ongoing data analysis in a professional environment. While internships are training roles, Data Analysts are full-time professionals with broader responsibilities.

What are the key skills and qualifications needed to thrive as an R Programming Language Intern, and why are they important?

To thrive as an R Programming Language Intern, you need a solid understanding of R syntax, data manipulation, and basic statistical concepts, often supported by coursework or relevant project experience. Familiarity with tools like RStudio, version control systems such as Git, and packages like dplyr and ggplot2 is typically expected. Strong problem-solving skills, attention to detail, and the ability to communicate findings clearly help interns stand out. These skills are vital for producing reliable analyses, collaborating effectively, and contributing to data-driven decision-making within an organization.

What types of projects or tasks can I expect to work on during an R Programming Language internship?

As an R Programming Language intern, you'll typically be involved in data analysis, statistical modeling, and creating data visualizations using R. You may work on cleaning and preparing datasets, developing scripts to automate data processing, or assisting with research projects that require statistical analysis. Collaboration with data scientists, analysts, or research teams is common, and you'll likely have opportunities to present your findings or contribute to reports. This hands-on experience can help you build a strong foundation in data science and analytics, preparing you for more advanced roles in the field.
What are the most commonly searched types of R Programming Language jobs in New York? The most popular types of R Programming Language jobs in New York are:
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Internship R Programming Language jobs near you

Quantitative Developer Intern

WallStreetQuants

New York, NY • On-site

$21 - $27.50/hr

Full-time

Posted 17 days ago

Job description

An NYC based hedge fund is seeking a talented and motivated Quantitative Developer Intern to join their technology and trading team. This internship is ideal for students who enjoy building high-performance systems, solving complex technical problems, and applying software engineering to financial markets.
As a Quantitative Developer Intern, you will work closely with quantitative researchers, traders, and engineers to design, build, and improve tools, platforms, and infrastructure that support trading strategies, research workflows, data analysis, and execution systems
Requirements
Responsibilities
  • Design, develop, and maintain software tools used by traders, researchers, and engineers.
  • Build systems for data processing, strategy research, backtesting, simulation, and performance analysis.
  • Assist in developing trading infrastructure, market data pipelines, and execution tools.
  • Optimize code for speed, reliability, scalability, and maintainability.
  • Work with large datasets and help improve data quality, storage, and retrieval.
  • Collaborate with quantitative researchers to translate models and research ideas into production-ready tools.
  • Debug, test, and document software systems used in live or simulated trading environments.
  • Contribute to automation, monitoring, and workflow improvements across the trading platform.
Qualifications
  • Currently pursuing a Bachelor's, Master's, or PhD degree in Computer Science, Engineering, Mathematics, Physics, Statistics, or a related technical field.
  • Strong programming skills in Python, C++, Java, C#, Rust, or another modern programming language.
  • Solid understanding of data structures, algorithms, software design, and debugging.
  • Familiarity with Linux, version control, and command-line development tools.
  • Strong analytical and problem-solving abilities.
  • Ability to work both independently and collaboratively in a fast-paced environment.
  • Interest in financial markets, trading systems, quantitative research, or data-driven decision-making.
Preferred Qualifications
  • Experience with high-performance computing, low-latency systems, distributed systems, or cloud infrastructure.
  • Familiarity with SQL, pandas, NumPy, or other data processing tools.
  • Experience building APIs, internal tools, dashboards, or research platforms.
  • Knowledge of networking, concurrency, memory management, or systems programming.
  • Exposure to financial markets, market data, order execution, backtesting, or risk systems.
  • Previous internship, research, open-source, or project experience involving production-quality software.

Benefits
What You'll Gain
  • Hands-on experience building software for quantitative trading and research.
  • Exposure to real-world trading infrastructure, market data systems, and analytical tools.
  • Mentorship from experienced quantitative developers, researchers, and traders.
  • The opportunity to work on projects with direct impact on trading and research workflows.
  • Experience developing reliable, scalable, and performance-sensitive systems in a collaborative technical environment.

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