Lead Data Scientist

S&P Global; Ciudad de México; Híbrido; MXN 1,200,000 - 1,800,000; Jornada completa

Descripción de la vacante

A leading data analytics company in Mexico City seeks an experienced Lead Data Scientist to define AI strategies and mentor a skilled team. You will work on building GenAI-powered products and manage the full data science project lifecycle. Ideal candidates have strong expertise in machine learning and experience in the financial industry. This position requires collaboration with global teams in a flexible work environment.

Servicios

Health & Wellness benefits

Flexible time off

Continuous learning opportunities

Competitive pay and retirement planning

Family-friendly perks

Formación

• 6+ years of relevant experience in Data Science/AI.
• At least 2 years in a leadership or technical lead role.
• Prior experience in the Economics/Financial industry.

Responsabilidades

• Define AI roadmap, tooling choices, and best practices.
• Architect and develop large-scale ML and GenAI-powered products.
• Mentor and guide junior data scientists.

Conocimientos

Large language models

Python

Machine Learning

Deep Learning

Data Science

NLP

Orchestration tools

Educación

Master’s or Ph.D. in Computer Science, Statistics, Mathematics

Herramientas

NumPy

Pandas

PyTorch

SQL

Descripción del empleo

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 Global. 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

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
  • 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
• 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

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 People: We’re more than 35,000 strong worldwide and are driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business.

Our Values: Integrity, Discovery, Partnership.

Benefits

We take care of you, so you can take care of business. Our benefits include:

• 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: Perks for partners and kids, with best-in-class benefits for families.
• Beyond the Basics: From retail discounts to referral incentive awards.

For more information on benefits by country visit: spgbenefits.com/benefit-summaries

Equal Opportunity and Fraud Awareness

Equal Opportunity Employer: S&P Global is an equal opportunity employer. All qualified candidates will receive consideration without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, veteran status, unemployment status, or any other status protected by law.

If you need an accommodation during the application process due to a disability, please email [e-mail]. US Candidates Only: Pay attention to postings and posters as indicated by law. For recruitment fraud alerts, report suspicious activity to [e-mail].