OverviewAs a member of the Data Transformation team you will work on building ML powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P; Global Market Intelligence and our clients. You will spearhead development of 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 encouraged for thoughtful risk-taking and self-initiative.
What’s in it for you
- Be a part of a general company and build solutions at enterprise scale
- Collaborate with a highly skilled and technically strong team
- Contribute to solving high complexity, high impact problems

Key Responsibilities
- Design, Develop and Deploy ML powered products and pipelines
- Play a central role in all stages of the data science project life cycle, including:
- Identification of suitable data science project opportunities
- Partnering with business leaders, domain experts, and end-users to gain business understanding, data understanding,



and collect requirements
- Evaluation/interpretation of results and presentation to business leaders
- Performing exploratory data analysis, proof-of-concept modelling, model benchmarking and setup model validation experiments
- Training large models both for experimentation and production
- Develop production ready pipelines for enterprise scale projects
- Perform code reviews & optimization for your projects and team
- Spearhead deployment and model scaling strategies
- Stakeholder management and representing the team in front of our leadership
- Leading and mentoring by example including project scrums

What We’re Looking For
- 2+ years of professional experience in Data Science domain
- Expertise in Python (Numpy, Pandas, Spacy, Sklearn, Pytorch/TF2, HuggingFace etc.)
- Experience with SOTA models related to NLP and expertise in text matching techniques, including sentence transformers, word

📌 Data Scientist (Estado de México)
🏢 S&P Global
📍 Estado de México