Summer Intern, Data Scientist

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

What We're Looking For:
Basic Required Qualifications:

• Currently pursuing or recently 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

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, Partnership

Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals.
Benefits:

We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global.
Our benefits include: 

• Health & Wellness: Health care coverage designed for the mind and body.

• Flexible Downtime: Generous time off helps keep you energized for your time on.

• Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.

• Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.

• Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.

• Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference.

For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries

Global Hiring and Opportunity at S&P Global:

At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.

Recruitment Fraud Alert:

If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to [email protected]. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here.