About the Role:Grade Level (for internal use): 11
Application Disclaimer: This role is posted for a future need. An application may not result in an immediate hire. The Role: Sr Data Scientist– NLP, LLM and GenAI
S&P is a leader in risk management solutions leveraging automation and AI/ML. This role is a unique opportunity for hands-on ML scientists and NLP/Gen AI/LLM scientists to grow into the next step in their career journey and apply their 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.Internal Collaboration: Collaborate closely with product teams, business stakeholders, Mlops, machine learning engineers, and software engineers to ensure smooth integration of machine learning models into production systems.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: Bachelor's / Master's in Computer Science, Mathematics or Statistics, Computational linguistics, Engineering, or a related field.5+ years of professional 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 4+ years hands-on experience with Python, Hugging Face, TensorFlow, Keras, PyTorch, or similar statistical tools. Expert in python programming.2+ years hands-on experience developing natural language processing (NLP) models, ideally with transformer architectures.2+ years of experience with implementing information search and retrieval at scale, using a range of solutions ranging from keyword search to semantic search using embeddings.Knowledge of developing or tuning Large Language Models (LLM) and Generative AI (GAI).Knowledge of NLP, LLMs (extractive and generative), fine-tuning and LLM model development. Familiar with higher level trends in LLMs and open-source platforms.Nice to have: Experience with contributing to Github and open source initiatives or in research projects and/or participation in Kaggle competitions.Compensation/Benefits Information: S&P Global states that the anticipated base salary range for this position is $100,200 - $185,000. Base salary ranges may vary by geographic location. This role is eligible to receive S&P Global benefits.
For more information on the benefits we provide to our employees, visit https://www.spgbenefitessentials.com/newhires.
About S&P Global Ratings: At 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.
S&P Global Ratings is a division of S&P Global (NYSE: SPGI). S&P Global is the world's foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help many of the world's leading organizations navigate the economic landscape so they can plan for tomorrow, today.
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, Partnership.
Benefits: We take care of you, so you can take care of business. We care about our people. That's why we provide everything you—and your career—need to thrive at S&P Global.
For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries.
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 Employer: S&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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