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Internship Python R Jobs in Long Island, NY (NOW HIRING)

Soni Resources

AI/ML Engineer

New York, NY · On-site

$135K - $175K/yr

... experience in Python or R * Experience working with both structured and unstructured data ... Internship or project experience in AI engineering, machine learning, or related quantitative ...

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Internship Python R information

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

To thrive in a Python/R internship, you need foundational knowledge in programming with Python and R, basic statistics, and a relevant academic background in computer science, data science, or a related field. Familiarity with data analysis libraries (like pandas, NumPy, tidyverse), version control systems (such as Git), and data visualization tools is typically required. Strong problem-solving abilities, attention to detail, and the willingness to learn make candidates stand out. These skills are crucial for effectively contributing to data-driven projects and adapting to the learning-focused environment of an internship.

What types of projects or tasks can I expect to work on during a Python/R internship?

As a Python/R intern, you’ll typically assist with data analysis, data cleaning, and visualization projects, often working alongside experienced data scientists or analysts. Many internships involve using Python or R to automate data processing, support research efforts, or build basic machine learning models. You may also contribute to documentation, testing code, and presenting findings to your team. This hands-on experience is designed to strengthen your programming skills and expose you to collaborative workflows common in data-driven environments.

What are Internship Python R positions?

Internship Python R positions are entry-level opportunities for students or recent graduates to gain practical experience working with Python and R programming languages. These internships typically involve tasks such as data analysis, scripting, software development, or research projects that utilize Python and R for statistical computing and data manipulation. Interns learn valuable skills in coding, problem-solving, and collaborating on real-world projects, often in fields like data science, finance, healthcare, or academia. They provide a stepping stone for building a career in technology or data-driven industries.

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

AspectInternship Python RData Analyst
Required SkillsBasic Python and R programming, data manipulationData analysis, SQL, visualization tools
Work EnvironmentInternship setting, entry-level projectsFull-time, corporate or research settings
CertificationsOptional, often includes online coursesOften requires or prefers certifications in data analysis or related fields

Internship Python R roles are entry-level positions focusing on learning and assisting with data projects using Python and R. Data Analyst roles are more advanced, involving comprehensive data analysis, reporting, and decision-making. Internships serve as a stepping stone toward full Data Analyst positions, which require more experience and skills.

What cities near Long Island, NY are hiring for Internship Python R jobs? Cities near Long Island, NY with the most Internship Python R job openings:
Internship Python R jobs near you
AI/ML Engineer

AI/ML Engineer

Soni Resources

New York, NY • On-site

$135K - $175K/yr

Full-time

Posted 4 days ago

Job description

A global organization operating within the financial and risk services sector is expanding its Enterprise Data & Artificial Intelligence function to enhance decision-making and operational performance through advanced analytics.
The Data & AI team partners across the business to design and scale innovative AI-driven capabilities that improve efficiency, optimize outcomes, and unlock new growth opportunities.
We are seeking an AI/ML Engineer to help develop and deploy machine learning solutions that generate measurable business impact.
Role Overview
The AI/ML Engineer will analyze complex data sets to uncover meaningful patterns and translate them into actionable insights using predictive modeling, data mining, and machine learning techniques. This role will collaborate closely with senior team members to design and implement scalable AI solutions across enterprise functions.
The ideal candidate is technically strong, analytically rigorous, and motivated to apply emerging AI technologies to real-world business challenges in a fast-paced, collaborative environment.
Key Responsibilities
  • Partner with senior AI/ML engineers to design, build, and deploy machine learning and deep learning solutions
  • Develop models such as classification, forecasting, propensity modeling, uplift modeling, and foundational model fine-tuning
  • Identify opportunities to enhance underwriting, claims operations, risk evaluation, customer experience, and other business processes through AI-driven insights
  • Collaborate cross-functionally with business, technology, and transformation teams to ensure scalable and production-ready implementation
  • Translate complex analytical findings into clear, actionable recommendations for non-technical stakeholders
  • Contribute to continuous improvement of modeling methodologies and deployment practices

Required Qualifications
  • Master's degree in Statistics, Data Science, Mathematics, Computer Science, Operations Research, or a related quantitative field (Ph.D. preferred)
  • 2+ years of experience applying advanced analytics and machine learning techniques (e.g., logistic regression, decision trees, neural networks, random forests, etc.)
  • 2+ years of strong hands-on experience in Python or R
  • Experience working with both structured and unstructured data, including digital and CRM datasets
  • Demonstrated ability to cleanse, integrate, and model large, complex datasets
  • Strong communication skills with the ability to explain technical findings in business terms

Preferred Qualifications
  • Internship or project experience in AI engineering, machine learning, or related quantitative disciplines
  • Experience within financial services, risk-based, or regulated industries
  • Familiarity with actuarial methodologies or domain-specific risk datasets
  • Self-motivated learner with a passion for staying current on advancements in AI and machine learning
  • Ability to thrive in a collaborative, team-oriented, fast-paced environment

Compensation: $135,000-$175,000.
Compensation is based on a range of factors that include relevant experience, knowledge, skills, other job-related qualifications.
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About Soni Resources

Sourced by ZipRecruiter

Soni is a premier staffing & recruitment company that is disrupting the human capital management space. Headquartered in New York, Soni has presence in 23 markets across the United States. We support each professional relationship with a cutting-edge approach, industry-leading insights, and a human touch. We are trusted to help companies and individuals tackle their challenges and capture their greatest opportunities. We are minority-owned, and diversity & inclusion is in our DNA. We are committed to creating environments where people are empowered to be their authentic selves.

Company size

11 - 50 Employees

Headquarters location

New York, NY, US

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