S&P Global
Data Science Intern- NLP, LLM and GenAI
S&P Global, New York, New York, us, 10261
About the Role:Grade Level (for internal use):
05The Role:
Data Science Intern- NLP, LLM and GenAIThe Team:
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.Responsibilities: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.What We're Looking For:Basic Required Qualifications:Working towards a Bachelors or Masters degree in a technical field of study in Engineering, Computer Science, Computer Engineering, Management Information Systems, or ITAnticipated graduation date in Fall 2024 or Spring 2025Strong data manipulation skills required including cleaning and handling dataExperience using Python, and JavaWillingness to work with unstructured, messy dataExcellent communication skillsAdditional Preferred Qualifications:An aptitude to learn and adapt quickly in a rapidly changing environmentIntellectual curiosity and desire to learn new things, techniques, and technologiesThe ability to build strong working relationships in a collaborative settingHands-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.About S&P Global RatingsAt S&P Global Ratings, our analyst-driven credit ratings, research, and sustainable finance opinions provide critical insights that are essential to translating complexity into clarity so market participants can uncover opportunities and make decisions with conviction. By bringing transparency to the market through high-quality independent opinions on creditworthiness, we enable growth across a wide variety of organizations, including businesses, governments, and institutions.What's In It For You?Our Purpose:
Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology-the right combination can unlock possibility and change the world.Our People:
We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.Our Values:
Integrity, Discovery, PartnershipBenefits: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.Diversity, Equity, and Inclusion at S&P Global:
At S&P Global, we believe diversity fuels creative insights, equity unlocks opportunity, and inclusion drives growth and innovation - Powering Global Markets.Equal Opportunity EmployerS&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law.
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05The Role:
Data Science Intern- NLP, LLM and GenAIThe Team:
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.Responsibilities: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.What We're Looking For:Basic Required Qualifications:Working towards a Bachelors or Masters degree in a technical field of study in Engineering, Computer Science, Computer Engineering, Management Information Systems, or ITAnticipated graduation date in Fall 2024 or Spring 2025Strong data manipulation skills required including cleaning and handling dataExperience using Python, and JavaWillingness to work with unstructured, messy dataExcellent communication skillsAdditional Preferred Qualifications:An aptitude to learn and adapt quickly in a rapidly changing environmentIntellectual curiosity and desire to learn new things, techniques, and technologiesThe ability to build strong working relationships in a collaborative settingHands-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.About S&P Global RatingsAt S&P Global Ratings, our analyst-driven credit ratings, research, and sustainable finance opinions provide critical insights that are essential to translating complexity into clarity so market participants can uncover opportunities and make decisions with conviction. By bringing transparency to the market through high-quality independent opinions on creditworthiness, we enable growth across a wide variety of organizations, including businesses, governments, and institutions.What's In It For You?Our Purpose:
Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology-the right combination can unlock possibility and change the world.Our People:
We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.Our Values:
Integrity, Discovery, PartnershipBenefits: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.Diversity, Equity, and Inclusion at S&P Global:
At S&P Global, we believe diversity fuels creative insights, equity unlocks opportunity, and inclusion drives growth and innovation - Powering Global Markets.Equal Opportunity EmployerS&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law.
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