Data Scientist

Main Location
United States
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Job Description

The Data Scientist is a member of S&P Global's AI Engineering group who partners with machine learning engineers and business partners to design and build AI-centric applications that transform S&P Global's products and operations. Our data scientists apply the breadth of modern techniques in machine learning and natural language processing to build systems that power worldwide markets. Working at S&P Global — where data is the primary raw material, the core strategic asset, and the finished product — presents a rare opportunity for data scientists to multiply their impact across every level of the business.


  • Partner with machine learning engineers to identify, scope, prototype, develop, deploy, and operate AI-powered applications in production settings
  • Work with stakeholders to design and implement robust machine learning systems that solve business problems
  • Stay abreast of emerging AI technologies to drive S&P Global's vision for its products and operations
  • Evangelize data science concepts and wins to audiences inside and outside of S&P
  • Approach problem-solving with a machine-learning-first mindset

Basic Qualifications

  • University degree in engineering or a related field
  • Experience seeking out problems and identifying and proposing creative, data-driven solutions
  • Strong programming skills with an understanding of what it takes to write and share high-quality code
  • Good conceptual knowledge of probability, statistics, and computer science
  • Strong SQL skills
  • Fluency in Python
  • Experience with machine learning frameworks such as Scikit-Learn, PyTorch, and TensorFlow
  • Strong oral and written communication skills
  • Entrepreneurial spirit

Preferred Qualifications

  • Graduate degree in a technical field
  • Experience designing, developing, and operating machine learning systems in production settings
  • A passion for designing and building software to help solve problems
  • Proficiency in an advanced data science topic, such as:
    • Computer vision
    • Natural language processing
    • Probabilistic programming
  • Publicly demonstrated data science competency, such as:
    • Conference talks
    • Open-source contributions
    • Published research
  • Knowledge of the finance and investment industry


  • Flexible work schedules
  • 4 weeks' paid vacation annually
  • Supportive community of data scientists and machine learning engineers
  • Access to industry-leading financial data sets


  • The AI Engineering group is based in Charlottesville, VA, but we welcome applicants in many U.S. office locations, as well as those who are home-based.
  • Our application process includes completing and presenting a take-home data science challenge — if this sounds like a fun opportunity, you're in the right place.
  • Positions are available at all levels.

S&P Global is an equal opportunity employer committed to making all employment decisions without regard to race/ethnicity, gender, pregnancy, gender identity or expression, color, creed, religion, national origin, age, disability, marital status (including domestic partnerships and civil unions), sexual orientation, military veteran status, unemployment status, or any other basis prohibited by federal, state or local law.  Only electronic job submissions will be considered for employment.

If you need an accommodation during the application process due to a disability, please send an email to: and your request will be forwarded to the appropriate person. 

The EEO is the Law Poster describes discrimination protections under federal law.

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Data Scientist