Lead Data Scientist at S&P Global

Álvaro Obregón, Mexico City, Mexico

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Financial ServicesIndustries

Requirements

Hands-on experience with large language models (e.g., OpenAI, Anthropic, Llama), prompt engineering, fine-tuning/customization, and embedding-based retrieval
Expert proficiency in Python (NumPy, Pandas, SpaCy, scikit-learn, PyTorch/TF 2, Hugging Face Transformers)
Deep understanding of ML & Deep Learning models, including architectures for NLP (e.g., transformers), GNNs, and multimodal systems
Strong grasp of statistics, probability, and the mathematics underpinning modern AI
Ability to surf and synthesize current AI/ML research, with a track record of applying new methods in production
Proven experience on at least one end-to-end GenAI or advanced NLP project: custom NER, table extraction via LLMs, Q&A systems, summarization pipelines, OCR integrations, or GNN solutions
Familiarity with orchestration and deployment tools: Airflow, Redis, Flask/Django/FastAPI, SQL, R-Shiny/Dash/Streamlit
Openness to evaluate and adopt emerging technologies and programming languages as needed
Master’s or Ph.D. in Computer Science, Statistics, Mathematics, or related field (minimum Bachelor’s)
6+ years of relevant experience in Data Science/AI, with at least 2 years in a leadership or technical lead role
Prior experience in the Economics/Financial industry, especially with market-intelligence or risk analytics products
Public contributions or demos on GitHub, Kaggle, StackOverflow, technical blogs, or publications

Responsibilities

Define AI roadmap, tooling choices, and best practices for model building, prompt engineering, fine-tuning, and vector retrieval systems
Architect, develop and deploy large-scale ML and GenAI-powered products and pipelines
Own all stages of the data science project lifecycle, including: Identification and scoping of high-value data science and AI opportunities
Partner with business leaders, domain experts, and end-users to gather requirements and align on success metrics
Evaluation, interpretation, and communication of results to executive stakeholders
Lead exploratory data analysis, proof-of-concepts, model benchmarking, and validation experiments for both ML and GenAI approaches
Establish and enforce coding standards, perform code reviews, and optimize data science workflows
Drive deployment, monitoring, and scaling strategies for models in production (including both ML and GenAI services)
Mentor and guide junior data scientists; foster a culture of continuous learning and innovation
Manage stakeholders across functions to ensure alignment and timely delivery

Skills

GenAI

Machine Learning

Prompt Engineering

Fine-Tuning

Vector Retrieval

ML Pipelines

Data Extraction

Information Retrieval

Natural Language Understanding

Exploratory Data Analysis

Model Deployment

MLOps

Code Review

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.

New York City, New YorkHeadquarters

1917Year Founded

IPOCompany Stage

Data & Analytics, Financial ServicesIndustries

10,001+Employees