Data Scientist

Overview

The Team We are a central data and reporting function that gathers all organizational data spanning from financials to inventory. This unique position allows our team to innovate and build data products and solutions for internal stakeholders, including applying AI and Machine Learning to our comprehensive datasets. We foster a collaborative environment where continuous learning is encouraged, and team members regularly share knowledge about the latest AI developments and methodologies.

The team values experimentation, data-driven decision making, and maintains a culture of intellectual curiosity where interns are mentored by experienced practitioners and given meaningful projects that contribute to real-world applications.

• Collaborate with senior data scientists to develop and implement machine learning models for financial and operational data analysis
• Support the creation of automated reporting solutions and data visualizations for internal stakeholders across various business units
• Assist in data collection, cleaning, and pre-processing activities to ensure high-quality datasets for analysis and modelling
• Participate in exploratory data analysis to identify trends, patterns, and insights that drive business decision-making
• Contribute to the development of data products and solutions that enhance organizational efficiency and strategic planning
• Present findings and recommendations to cross-functional teams, gaining exposure to senior leadership and key decision makers.

(This section is only applicable to US candidates) S&P Global states that the anticipated base salary range for this position is $90,000 to $100000. Final base salary for this role will be based on the individual’s geographic location, as well as experience level, skill set, training, licenses and certifications. In addition to base compensation, this role is eligible for an annual incentive plan.

This role is not eligible for additional compensation such as an annual incentive bonus or sales commission plan. This role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please .

• Completed a Bachelor s or Master s degree in Data Science, Statistics, Computer Science, Mathematics, or related quantitative field
• Proficiency in programming languages such as Python, R, or SQL for data analysis and manipulation
• Understanding of statistical concepts and machine learning fundamentals including supervised and unsupervised learning techniques
• Experience with data visualization tools such as Tableau, Power BI, matplotlib, or similar platforms
• Strong analytical and problem-solving skills with attention to detail and accuracy
• Excellent communication skills with ability to present technical findings to non-technical audiences

• Experience with cloud platforms such as AWS, Azure, or Google Cloud for data processing and analytics
• Familiarity with machine learning frameworks and libraries including scikit-learn, Tensor Flow, PyTorch, or similar tools
• Knowledge of financial data analysis or experience working with enterprise-level datasets
• Previous internship or project experience in data science, analytics, or related field

This role is limited to persons with indefinite right to work in the United States.

Advancing Essential Intelligence.

We re more than 35,000 strong worldwide—so we re able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it, 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…