What is Industry of S&P Global?

S&P Global is in Financial services Industry

How many people work at S&P Global?

S&P Global employs approximately 22,500 people now working across globe. This figure does not include temporary contracted workers, like part time and contract employees.

Where is the S&P Global headquarters located?

S&P Global have head office located at Manhattan, New York City, New York, USA and was founded in 1917 year

How many Data Science, Machine Learning and Artificial intelligence Jobs at S&P Global?

S&P Global now hiring 144 Jobs in Data Science, Machine Learning and Artificial intelligence.

When was S&P Global founded?

S&P Global founded in 1917 at Manhattan, New York City, New York, USA

S&P Global

Founded Year: 1917

Industry

Financial services

Company Size

22,500

Head Office Location

Manhattan, New York City, New York, USA

Website

https://www.spglobal.com/

#hiring

144 Jobs

Jobs at S&P Global

S&P Global Inc. (prior to April 2016 McGraw Hill Financial, Inc., and prior to 2013 McGraw–Hill Companies) is an American publicly traded corporation headquartered in Manhattan, New York City. Its primary areas of business are financial information and analytics. It is the parent company of S&P Global Ratings, S&P Global Market Intelligence, and S&P Global Platts, CRISIL, and is the majority owner of the S&P Dow Jones Indices joint venture.

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Jobs at S&P Global

Open Roles

Data Science & Modeling Intern (Early Careers)

Data Engineer-Gen AI

Data Engineer-Gen AI

Lead Senior Software Engineer

Senior Software Engineer - JAVA

Research Analyst - Fuels, Chemicals & Resource Solutions

Data Steward, Data Stewardship and Analysis (Company Hierarchy Team)

Engineer III, Software Development (Solr, Elasticsearch, OpenSearch, Java, Python, Big Data)

Industry Research Analyst– Machine Learning and Artificial Intelligence Infrastructure

Sr Data Engineer

Associate, Quantitative Analysis

Senior Machine Learning Engineer

Data Scientist, Credit Research & Insights

Data Scientist, Credit Research & Insights

Data Scientist, Credit Research & Insights

Data Scientist, Credit Research & Insights

Data Scientist - ML Engineer

Lead Generative AI Machine Learning Engineer (Remote)

Data Scientist, Product - Data Solutions

Associate Director, Data Science

Associate Director of Data Science – NLP, LLM and GenAI

Associate Director of Data Science – NLP, LLM and GenAI