About the Role:

Grade Level (for internal use):

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.
Responsibilities and Impact:

• 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 decisionmakers.

Compensation/Benefits Information: (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 click here .  

What We're Looking For:
Basic Required Qualifications:

• Ccompleted 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

Additional Preferred Qualifications:

• 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, TensorFlow, 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

Right to Work Requirements:
This role is limited to persons with indefinite right to work in the United States.

What’s In It For You?

Our Mission:

Advancing Essential Intelligence.

Our People:

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 business. Join us and help create the critical insights that truly make a difference.

Our Values:
Integrity, Discovery, P