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Intern Ai Math Analyst Jobs (NOW HIRING)

Intern - AI Engineering

Paramus, NJ · On-site

$17 - $22/hr

Overview The AI Engineer Intern will support the design and implementation of AI-driven solutions ... Exposure to analyzing or reproducing research papers Coursework or projects related to life ...

Pursuing a Bachelor's or Master's in Computer Science, Engineering, Mathematics, or related field ... Data: Basic understanding of data analysis, SQL, and use of notebooks; exposure to evaluation ...

Pursuing a Bachelor's or Master's in Computer Science, Engineering, Mathematics, or related field ... Data: Basic understanding of data analysis, SQL, and use of notebooks; exposure to evaluation ...

SAP iXp Intern - AI Engineer

Palo Alto, CA

$19.25 - $25/hr

Pursuing a Bachelor's or Master's in Computer Science, Engineering, Mathematics, or related field ... Data: Basic understanding of data analysis, SQL, and use of notebooks; exposure to evaluation ...

Intern, AI and Finance Automation Sciton is a Silicon Valley based pioneer in laser, light, and ... Apply AI, automation, and data analysis tools to real-world finance processes. * Gain hands-on ...

Intern, AI Adoption

Reston, VA · On-site

$25 - $27/hr

POSITION SUMMARY Sony Corporation of America (SCA) is seeking a full-time AI Adoption intern for ... applied mathematics, or equivalent. * Experience or coursework in generative Artificial ...

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Intern Ai Math Analyst information

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$12

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$42

How much do intern ai math analyst jobs pay per hour?

As of May 31, 2026, the average hourly pay for intern ai math analyst in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

What is the difference between Intern Ai Math Analyst vs Intern Data Scientist?

AspectIntern Ai Math AnalystIntern Data Scientist
Required CredentialsMath, Computer Science, or related field; some programming knowledgeStatistics, Computer Science, or related field; programming skills often required
Work EnvironmentTech companies, AI startups, research labsTech firms, finance, healthcare, research institutions
Employer & Industry UsageAI development, machine learning projectsData analysis, predictive modeling, data-driven decision making

Intern Ai Math Analysts focus on applying mathematical models to AI projects, often involving machine learning algorithms. Intern Data Scientists analyze large datasets to extract insights and build predictive models. While both roles require strong math and programming skills, Intern Ai Math Analysts are more specialized in AI and algorithms, whereas Intern Data Scientists emphasize data analysis and statistical methods.

More about Intern Ai Math Analyst jobs
What cities are hiring for Intern Ai Math Analyst jobs? Cities with the most Intern Ai Math Analyst job openings:
What are the most commonly searched types of Ai Math Analyst jobs? The most popular types of Ai Math Analyst jobs are:
What states have the most Intern Ai Math Analyst jobs? States with the most job openings for Intern Ai Math Analyst jobs include:
Infographic showing various Intern Ai Math Analyst job openings in the United States as of May 2026, with employment types broken down into 62% Full Time, 33% Part Time, and 5% Contract. Highlights an 26% Physical, and 74% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.
Intern - AI Engineering

Intern - AI Engineering

SK Life Science, Inc.

Paramus, NJ • On-site

$17 - $22/hr

Other

Posted 14 days ago


Job description

Overview

The AI Engineer Intern will support the design and implementation of AI-driven solutions for pharmaceutical and biotech applications, with a focus on drug discovery. This internship offers hands-on experience in applying artificial intelligence to real-world R&D challenges while working alongside experienced scientists and engineers. The intern will gain exposure to the drug discovery process and contribute to projects that explore how AI can improve efficiency and innovation.

Responsibilities

Architect and manage agent-based systems that collaborate to execute drug discovery workflows Coordinate multiple AI agents (e.g., PI, modeling, simulation, optimization, critic) to enable automated discovery Assist in identifying opportunities within drug discovery where AI can enhance processes and outcomes Support the development and implementation of machine learning and deep learning models for research applications Reproduce and evaluate existing AI models and research papers to understand their applicability Help adapt and optimize AI solutions for new use cases within R&D workflows Contribute to building scalable and practical AI tools under guidance from senior team members Stay current with emerging AI trends and technologies and share insights with the team Collaborate with cross-functional teams to understand scientific problems and translate them into AI-driven approaches

Qualifications

Currently pursuing a Bachelor's, Master's or PhD degree in Computer Science, Artificial Intelligence, Data Science, Bioinformatics, or a related field Experience with LLMs, agent frameworks, or workflow orchestration tools (e.g., LangChain, AutoGen, BioNemo, etc.) Familiarity with coding tools (e.g., Codex, Claude Code, etc.) Interest in pharmaceutical or biotech applications, particularly drug discovery

Experience with academic or personal AI/ML projects Exposure to analyzing or reproducing research papers Coursework or projects related to life sciences, bi Strong analytical and problem-solving skills Willingness to learn and adapt in a fast-paced, innovative environment Effective communication and teamwork skills Ability to translate technical concepts into practical applications Bioinformatics, or computational biology Prior experience in drug discovery or AI research is a plus but not required Professional-level English communication skills are preferred

Employment Type: OTHER