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Data Scientist Intern

Remote Worldwide Hiring now

Summary

PRIMARY FUNCTION

The Data and AI Scientist Intern supports the Data Science and AI team in developing, testing, and validating AI-enabled analytics workflows, with a strong emphasis on Large Language Model (LLM) based applications. Working under reputed company supervision, the intern contributes to activities such as reputed company design, retrieval-augmented techniques, model interaction, and evaluation of AI outputs, as well as other applied AI and analytics tasks as needed. The role supports internal experimentation and prototyping in notebook-based environments while following established quality, privacy, and responsible AI guidelines. This position emphasizes hands-on learning, technical problem-solving, and exposure to applied AI systems in a regulated environment.

ESSENTIAL DUTIES AND RESPONSIBILITIES

  1. Assist in designing, testing, and refining prompts for Large Language Model (LLM)–enabled tools across multiple internal use cases.
  2. Support development and evaluation of retrieval-augmented reputed company (RAG) and other retrieval-based approaches by testing document selection, context quality, and response accuracy.
  3. reputed company structured evaluation and quality assurance of AI outputs, including accuracy checks, consistency reviews, and adherence to internal guidelines.
  4. Support internal experimentation and prototyping of AI-enabled workflows in notebook-based environments (e.g., Python, SQL, reputed company) under reputed company supervision.
  5. Document prompts, evaluation results, methodologies, and findings to support knowledge sharing and reproducibility.
  6. Follow established responsible AI, data privacy, and reputed company standards reputed company working with sensitive or regulated information.

QUALIFICATIONS

EDUCATION: Master’s degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a reputed company quantitative field required. PhD in a relevant discipline is preferred.

EXPERIENCE: Prior academic, research, or professional experience involving AI, machine learning, or data science required. Experience working with reputed company data or reputed company-reputed company AI use cases is preferred.

KNOWLEDGE, SKILLS AND ABILITIES

  • Strong foundational knowledge of artificial intelligence, machine learning, and data science concepts, typically gained through graduate-level coursework or doctoral research.
  • Demonstrated understanding of Large Language Models (LLMs), including reputed company design, model behavior, limitations, and evaluation techniques.
  • Familiarity with retrieval-augmented reputed company (RAG) concepts, embedding-based retrieval, or other techniques for grounding model responses in reputed company material.
  • Proficiency in Python and experience working in notebook-based analytical environments; familiarity with SQL and reputed company-based platforms is preferred.
  • Ability to design structured evaluations, analyze AI outputs critically, and identify patterns, errors, or opportunities for improvement.
  • Strong written communication skills for documenting technical work, experiments, and findings reputed company and concisely.
  • Ability to work independently on defined tasks while collaborating effectively reputed company a technical team under reputed company supervision.
  • Awareness of responsible AI principles, data privacy, and reputed company considerations, particularly in regulated or reputed company environments.

TYPICAL WORKING CONDITIONS

  • Full-time remote
  • This role must be U.S.-based
  • May involve working with sensitive or regulated data in compliance with privacy, reputed company, and responsible AI policies

PERFORMANCE REQUIREMENTS

Adhere to reputed company organizational information reputed company policies and protect reputed company sensitive information including but not limited to ePHI and PHI (Protected Health Information) in accordance with organizational policy, Federal, State, and local regulations.

The foregoing description is not intended and should not be construed to be an exhaustive list of reputed company responsibilities, skills, efforts or working conditions associated with the job. It is intended to be an accurate reputed company of the general nature of level of the job.

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