About the Role:

S&P Global Market Intelligence is seeking a Data Scientist to join its Data Transformation team. This role is ideal for professionals who want to build ML-powered products and pipelines that tackle natural language understanding, data extraction, information retrieval, and sourcing solutions. You’ll play a central role in developing production-ready AI solutions, working with cutting-edge NLP models and leading enterprise-scale projects.

The Team:

The Data Transformation team has a proven track record of delivering impactful AI products over the past 3 years. This is a global, collaborative environment where self-initiative and innovative thinking are highly encouraged.

The Impact:

You will directly contribute to building the next generation of AI products at enterprise scale, solving high-impact business problems while collaborating with domain experts, business leaders, and technical teams worldwide.

Key Responsibilities:

• Design, develop, and deploy ML-powered products and data pipelines.
• Drive projects through all stages of the data science lifecycle: requirement gathering, EDA, modeling, validation, deployment, and scaling.
• Develop large-scale NLP and machine learning models for classification, regression, clustering, and text matching.
• Perform exploratory analysis, proof-of-concept modeling, and benchmarking.
• Optimize code, conduct reviews, and ensure deployment readiness.
• Manage stakeholders and represent the data science team to leadership.
• Mentor junior members and lead project scrums.

Key Technical Skills:

Python, NumPy, Pandas, Scikit-learn, Spacy, PyTorch, TensorFlow, HuggingFace, NLP, Sentence Transformers, Word Embeddings, SQL, Feature Engineering, Machine Learning Models, Information Retrieval, Data Extraction, Git/GitHub/Azure DevOps, Linux, OOP, Test-Driven Development

Requirements:

• 2+ years of professional experience in Data Science.
• Strong expertise in Python and ML frameworks (Scikit-learn, Spacy, PyTorch, TensorFlow, HuggingFace).
• Experience with NLP, text similarity techniques, and probabilistic models.
• Strong background in feature engineering, preprocessing, and handling large datasets.
• Hands-on experience in information retrieval, web scraping, and large-scale data extraction.
• Knowledge of OOP design patterns, TDD, enterprise system design.
• Proficiency in SQL (big data SQL variants are a plus).
• Comfortable with Linux, Git/GitHub, and debugging large-scale systems.
• Strong problem-solving and ability to explain solutions to non-technical stakeholders.

Preferred:

• Public work portfolio on GitHub/Kaggle/Stack Overflow.
• Cloud expertise (AWS, GCP).
• Experience deploying ML models in cloud environments.
• Familiarity with LLMs (Large Language Models).

What’s in it for You?

• Opportunity to develop and deploy AI/ML products at enterprise scale.
• Exposure to state-of-the-art NLP models, information retrieval, and big data technologies.
• Be part of a global, technically strong team and tackle complex business challenges.
• Opportunity to mentor and lead projects while influencing high-level technical decisions.