**About the Role**:
**Grade Level (for internal use)**: 11 S&P; Enterprise Data Organization Lead Data Scientist
**The Team**: As a member of the EDO, Collection Platforms & AI - Cognitive Engineering team you will work on building GenAI-driven and ML-powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P; General.
You will define AI strategy, mentor others, and drive production-ready AI products and pipelines while leading by example in a highly engaging work environment.
You will work in a (truly) global team and be encouraged for thoughtful risk-taking and self-initiative.
**What's in it for you**:
Be a part of a global company and build solutions at enterprise scale
Lead and grow a highly skilled, hands-on technical team (including mentoring junior data scientists)
Contribute to solving high-complexity, high-impact problems end-to-end
Architect and oversee production-ready pipelines from ideation to deployment
**Respobsibilites**:
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
Partnering 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
**Technical 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
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
**Location**: Mexico City, Santa Fe (2 days a week onsite)
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 world is in transition and getting more complex by the day.
We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow.
At S&P; Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities.
We Accelerate Progress.
**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
At S&P; Global, we focus on Powering Global Markets.
Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead.
We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals.
**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.

📌 Lead Data Scientist (Xico)
🏢 S&P Global
📍 Xico