S&P Global

Sr Data Scientist– NLP, LLM and GenAI

New York, New York, United States

Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Financial ServicesIndustries

Requirements

Candidates should possess a Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, Computational linguistics, Engineering, or a related field. They must have at least 3+ years of professional hands-on experience leveraging large sets of structured and unstructured data to develop data-driven analytics and insights using ML, NLP, and computer vision solutions. Demonstrated experience with Python, Hugging Face, TensorFlow, Keras, PyTorch, or similar statistical tools is required, along with 3+ years of experience developing natural language processing (NLP) models, particularly with transformer architectures. Furthermore, 3+ years of experience implementing information search and retrieval at scale using various solutions, including keyword and semantic search, is necessary. Knowledge of developing or tuning Large Language Models (LLM) and Generative AI (GAI) is also desired.

Responsibilities

The Sr Data Scientist– NLP, LLM and GenAI will design and develop custom ML, Gen AI, NLP, and LLM models for batch and stream processing-based AI ML pipelines, working closely with other data science, MlOps, and technology teams. They will conduct model evaluations, validate model performance, and implement optimizations to improve system efficiency. The role involves collaborating with product teams and business stakeholders to integrate ML models into production systems and documenting model development processes. Additionally, they will troubleshoot complex issues, ensure model adherence to standards and best practices, and assist in problem-solving related to machine learning model development and data pipelines.

Skills

NLP
Large Language Models
GenAI
Deep Learning
ML Pipelines
Model Fine-tuning
Prompt Engineering
Model Evaluation
Model Deployment
MLOps
Data Ingestion
Data Preprocessing
Search and Retrieval
Retrieval Augmented Generation (RAG)

S&P Global

Provides financial information and analytics services

About S&P Global

S&P Global provides financial information and analytics to a wide range of clients, including investors, corporations, and governments. The company offers services such as credit ratings, market intelligence, and indices, which help clients understand and navigate the global financial market. S&P Global's products work by utilizing advanced data analytics and research to deliver insights that assist clients in making informed decisions and managing risks. Unlike many competitors, S&P Global has a diverse range of divisions, including S&P Global Ratings and S&P Dow Jones Indices, which allows it to cater to various financial needs. The company's goal is to support clients in driving growth while also committing to corporate responsibility and positive societal impact.

Key Metrics

New York City, New YorkHeadquarters
1917Year Founded
IPOCompany Stage
Data & Analytics, Financial ServicesIndustries
10,001+Employees

Benefits

Health Insurance
Unlimited Paid Time Off
Professional Development Budget
401(k) Company Match
Family Planning Benefits
Employee Discounts

Risks

Integration challenges with new acquisitions like ProntoNLP may cause operational issues.
Increased competition from AI-driven platforms like Brooklyn Investment Group.
Dependence on volatile credit ratings market could impact revenue stability.

Differentiation

S&P Global integrates advanced AI tools for superior financial analytics capabilities.
The company offers comprehensive ESG solutions, meeting growing sustainability demands.
S&P Global's diverse divisions provide a wide range of financial services globally.

Upsides

Acquisition of ProntoNLP boosts data analytics and sentiment scoring capabilities.
Rising demand for ESG data enhances S&P Global's market position.
Expansion into India strengthens S&P Global's research and insights offerings.

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