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Internship R Programming Language Jobs in Miami, FL

... natural language. You will work closely with senior engineers, data engineers, and business ... op internship preferred or 10 week standard internship program. Programming Fundamentals:

Sr. Data Scientist, Payments

Miami Beach, FL ยท On-site

$152K - $205K/yr

Proficiency in SQL and at least one programming language, such as R or Python, for data manipulation, analysis, and model. * Strong understanding of statistics and experience applying statistical ...

Sr. AI/ML Engineer (LLM)

Miami, FL ยท On-site

$99K - $137K/yr

... large language models. * Proven experience working with foundational models in production environments. * Strong programming skills in Python with experience in relevant AI/ML libraries.

Sr. AI/ML Engineer (LLM)

Miami, FL ยท On-site

$99K - $137K/yr

... large language models. * Proven experience working with foundational models in production environments. * Strong programming skills in Python with experience in relevant AI/ML libraries.

Proficiency in at least one programming language used in empirical research (e.g., Stata, R, Python, SAS, Julia, or similar). Preferred but not required: * Experience with Git/GitHub for version ...

AI and Data Science Engineer III

Miami, FL ยท On-site

$109K - $131K/yr

Proficiency in Python or R for statistical modeling and data wrangling. * Strong communication ... AI fluency and familiarity with machine learning concepts, large language model applications, or AI ...

Sr. Service Engineer - Electronics

Miami, FL ยท On-site

$103K - $168K/yr

Strong knowledge on PLC programming and debugging the code- Specifically B&R PLC and associated ... Strong programming knowledge in Structed Text or C language, basics of python is preferred. * Prior ...

Strong knowledge on PLC programming and debugging the code- Specifically B&R PLC and associated ... Strong programming knowledge in Structed Text or C language, basics of python is preferred. * Prior ...

At RTX, our internships, co-ops and full-time careers provide an exceptional foundation to work on ... programming and / or simulation experience in MATLAB, SIMULINK, C/C++, or equivalent language.

AI Developer

Miami, FL ยท On-site

Programming: Advanced scripting skills in Python (Pandas, NumPy, Scikit-learn) and R. * Databases ... Language: Bilingual proficiency in both English and Spanish (fluency in speaking, understanding ...

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Internship R Programming Language information

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How much do internship r programming language jobs pay per hour?

As of Jun 18, 2026, the average hourly pay for internship r programming language in Miami, FL is $16.55, according to ZipRecruiter salary data. Most workers in this role earn between $13.80 and $18.41 per hour, depending on experience, location, and employer.

Is 30 an hour good for an intern?

For an internship involving R programming, a rate of $30 an hour is considered above average in many regions, especially for entry-level or learning positions. Interns typically earn lower wages, but this rate may reflect specialized skills, remote work, or competitive markets; it is important to consider local standards and the internship's scope. Compensation can vary based on industry, location, and the intern's experience level.

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 jobs use the R programming language?

Jobs that use the R programming language include data analyst, data scientist, biostatistician, and research scientist roles. These positions often require skills in statistical analysis, data visualization, and familiarity with data management tools. R is widely used in industries such as healthcare, finance, and academia for data analysis and modeling.

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.

Is the R programming language in demand?

The R programming language is in demand for data analysis, statistical modeling, and data visualization roles. Many industries such as healthcare, finance, and research seek professionals skilled in R, especially those familiar with data manipulation packages like dplyr and ggplot2. Proficiency in R can enhance job prospects in data science and analytics fields.

Is R in high demand?

R programming language skills are in high demand in data analysis, statistics, and data science roles. Many organizations seek professionals proficient in R for data visualization, statistical modeling, and machine learning tasks, making it a valuable skill for internships and entry-level positions in these fields.

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 popular job titles related to Internship R Programming Language jobs in Miami, FL? For Internship R Programming Language jobs in Miami, FL, the most frequently searched job titles are:
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What cities near Miami, FL are hiring for Internship R Programming Language jobs? Cities near Miami, FL with the most Internship R Programming Language job openings:
Junior AI Engineer - Co-op

Junior AI Engineer - Co-op

Rialto Capital

Miami, FL โ€ข On-site

Full-time

Posted 12 days ago


Job description

KEY RESPONSIBILITIES:

The AI Engineering Intern will join Rialto's Information Engineering team, working at the intersection of enterprise data and AI. This role focuses on building integrations that connect Rialto's enterprise platforms and databases to Claude and other AI assistants, enabling the firm's investment professionals to interact with critical business data through natural language. You will work closely with senior engineers, data engineers, and business stakeholders to build, test, and deploy production-grade AI data integrations.

MCP Server Development:

Design, build, and maintain Model Context Protocol (MCP) servers that expose Rialto's enterprise data sources to AI assistants such as Claude, ChatGPT, and Gemini. Work with platforms including DealCloud, Snowflake, Neo4j, Appian, Investran, and Microsoft 365.

Enterprise Data Integration:

Build connectors and APIs that bridge Rialto's diverse data ecosystem, including relational databases, data warehouses, knowledge graphs, and SaaS platforms, so that AI tools can securely query and surface business-critical information.

Data Modeling & Schema Design: Help define the data schemas, tool definitions, and resource descriptions that MCP servers expose to AI models, ensuring data is structured for accurate and useful AI-driven responses.

Testing & Prototyping: Rapidly prototype new MCP integrations, test them against real business workflows, and iterate based on feedback from investment management, asset management, and operations teams.

Collaboration & Communication: Work alongside the Information Engineering team, data engineers, and business users across Investment Management, Asset Management, Legal, Finance, and Operations to gather requirements, troubleshoot issues, and deliver AI-powered data access solutions.

SPECIFICATIONS:

Current Juniors and Seniors: 6 month co-op internship preferred or 10 week standard internship program.

Programming Fundamentals: Proficiency in Python and/or TypeScript. Familiarity with server-side frameworks (FastAPI, Express, or similar) for building APIs and services. Experience using AI coding agents such as Claude Code or Codex to accelerate development is a strong plus.

API & Protocol Development: Familiarity with RESTful APIs, JSON-RPC, or similar protocols. Understanding of the Model Context Protocol (MCP) specification is a strong plus. Experience with frontend frameworks (React) is helpful but not required.

Cloud & Infrastructure: Basic understanding of cloud platforms (Azure preferred), containerization (Docker), and CI/CD pipelines. Exposure to serverless or container-based deployment patterns is a plus.

Data & Database Proficiency: Working knowledge of SQL and experience querying relational databases or data warehouses. Exposure to graph databases (Neo4j/Cypher) or cloud data platforms (Snowflake, Azure Fabric) is a plus. Version control (Git) required.

AI & LLM Integration: Demonstrated curiosity about or experience with Large Language Models, prompt engineering, AI tool integration, or chatbot development. Hands-on experience with Claude, ChatGPT, or similar AI platforms is a strong plus.

Detail-Oriented: Exhibits precision when building integrations, writing data schemas, and testing AI-powered workflows against real business scenarios.

Team-Focused & Collaborative: Enjoys working in a cross-functional environment and learning from senior engineers.

Adaptable & Innovative: Embraces new challenges in a fast-evolving AI landscape, proposing creative solutions and improvements.

Positive Attitude & Enthusiasm: Approaches tasks with energy, resilience, and a desire to learn.

Strong Interest in Real Estate & Alternative Investments (Preferred): Not required, but helpful for understanding the business context of AI solutions at Rialto.

While performing the duties of this job, the Associate is occasionally required to stand; walk; sit; use hands to finger, handle, or feel objects, tools or controls; reach with hands and arms; climb stairs; balance; stoop. The Associate must occasionally lift and/or move up to 25 pounds. Evening or weekend work may be necessary to meet deadlines.

This description outlines the basic tasks and requirements for the position noted. It is not a comprehensive listing of all job duties.

Rialto Capital is committed to the principles of Equal Employment Opportunity. Our policy is to provide equal employment opportunity to all applicants and Associates without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity or expression, national origin, age (40+), disability, veteran status, genetic information (including family medical history), or any other legally protected status.

Our company uses E-Verify to confirm the employment eligibility of all newly hired employees.

To learn more about E-Verify, including your rights and responsibilities please visit: e-verify.gov.