Logo of Huzzle


Data Science Intern - NLP, LLM and GenAI

Logo of S&P Global

S&P Global


26d ago

🚀 Off-cycle Internship

New York

⌛ Closed
Applications are closed

Off-cycle Internship

Data, IT & Cybersecurity•New York


  • S&P is a leader in risk management solutions leveraging automation and AI/ML. This role is a unique opportunity for an intern interested in ML and NLP/Gen AI/ LLM to gain real-world experience that will benefit them in their career journey and apply her or his technical expertise in NLP, deep learning, GenAI, and LLMs to drive business value for multiple stakeholders while conducting cutting-edge applied research around LLMs, Gen AI, and related areas.


  • Working towards a Bachelors or Masters degree in a technical field of study in Engineering, Computer Science, Computer Engineering, Management Information Systems, or IT
  • Anticipated graduation date in Fall 2024 or Spring 2025
  • Strong data manipulation skills required including cleaning and handling data
  • Experience using Python, and Java
  • Willingness to work with unstructured, messy data
  • Excellent communication skills
  • Additional Preferred Qualifications:
  • An aptitude to learn and adapt quickly in a rapidly changing environment
  • Intellectual curiosity and desire to learn new things, techniques, and technologies
  • The ability to build strong working relationships in a collaborative setting
  • Hands-on experience leveraging large sets of structured and unstructured data to develop data-driven tactical and strategic analytics and insights using ML, NLP, computer vision solutions.
  • Demonstrated hands-on experience with Python, Hugging Face, TensorFlow, Keras, PyTorch, Spark or similar statistical tools. Expert in python programming.
  • Hands-on experience developing natural language processing (NLP) models, ideally with transformer architectures.
  • Knowledge of information search and retrieval at scale, using a range of solutions ranging from keyword search to semantic search using embeddings.

Education requirements

Currently Studying

Area of Responsibilities

IT & Cybersecurity


  • ML, Gen AI, NLP, LLM Model Development: Design and develop custom ML, Gen AI, NLP, LLM Models for batch and stream processing-based AI ML pipelines. Model components will include data ingestion, preprocessing, search and retrieval, Retrieval Augmented Generation (RAG), NLP/LLM model development, fine-tuning and prompt engineering and ensure the solution meets all technical and business requirements. Work closely with other members of data science, MlOps, technology teams in the design, development, and implementation of the ML model solutions.
  • ML, NLP, LLM Model Evaluation: Work closely with the other data science team members to develop, validate, and maintain robust evaluation solutions and tools to evaluate model performance, accuracy, consistency, reliability, during development, UAT. Implement model optimizations to improve system efficiency.
  • NLP, LLM, Gen AI Model Deployment: Work closely with the MLOps team for the deployment of machine learning models into production environments, ensuring reliability and scalability.
  • Documentation: Write and Maintain comprehensive documentation of ML modeling processes and procedures for reference and knowledge sharing.
  • Develop Models Based on Standards and Best Practices: Ensure that the models are designed and developed while adhering to specified standards, governance and best practices in ML model development as specified by senior Data Science and MLOps leads.
  • Assist in Problem Solving: Troubleshoot complex issues related to machine learning model development and data pipelines and develop innovative solutions.


Work type

Full time

Work mode



New York


  • Health & Wellness: Health care coverage designed for the mind and body.
  • Flexible Downtime: Generous time off helps keep you energized for your time on.
  • Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
  • Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
  • Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.
  • Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference.