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Data Science Intern

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S&P Global

25d ago

  • Internship
    Full-time
    Summer Internship
  • Data
    IT & Cybersecurity
  • Princeton

AI generated summary

  • You must be pursuing a degree in a quantitative field, proficient in Python and SQL, familiar with ML concepts, and demonstrate strong analytical skills and independent thinking.
  • You will create cloud-native dashboards in Python, analyze data for insights on collection tool performance, and research new algorithms to tackle specific problems.

Requirements

  • Currently in the process of obtaining Undergraduate or Graduate degree in Mathematics, Statistics, Computer Science, or other related quantitative fields
  • Proficiency in using Python. Familiarity with core Machine Learning concepts is a big plus.
  • Comfortable with using SQL and working with large datasets.
  • Proven track record of strong analytical skills, learning agility, and independent thinking. Ability to make observations, form an opinion, and articulate to the team

Responsibilities

  • Create cloud native dashboards and prototypes mainly in Python
  • Analyze data sets to understand performance of our collection tools and provide actionable insights
  • Research and experiment with new algorithms or tools to solve specific problems

FAQs

What is the primary focus of the Data Transformation team at S&P Global?

The primary focus of the Data Transformation team is to drive innovation through cognitive automation, artificial intelligence, and machine learning, while collaborating with various business segments to deliver transformative projects.

What skills are required for the Data Science Intern position?

Candidates should be pursuing an Undergraduate or Graduate degree in Mathematics, Statistics, Computer Science, or related quantitative fields. Proficiency in Python, familiarity with core Machine Learning concepts, and comfort with SQL and large datasets are essential.

What responsibilities will I have as a Data Science Intern?

As a Data Science Intern, you will create cloud native dashboards and prototypes in Python, analyze data sets to understand the performance of collection tools, and research new algorithms or tools to solve specific problems.

What benefits do interns receive at S&P Global?

S&P Global offers a range of benefits including health care coverage, generous time off, continuous learning resources, financial wellness programs, and family-friendly perks.

How does S&P Global promote an inclusive workplace?

S&P Global promotes an inclusive workplace by ensuring fair and transparent hiring practices, valuing different perspectives, and fostering a culture of respect and collaboration.

Is experience in machine learning a requirement for this internship?

While a familiarity with core Machine Learning concepts is a plus, it is not explicitly stated as a strict requirement for the position.

What kind of projects will I work on during the internship?

Interns will work on projects that involve applied machine learning and web development, including end-to-end implementation from inception and prototyping to development and productionizing.

What is the work environment like for the Data Science Intern role?

The work environment is dynamic and collaborative, providing an opportunity to solve diverse problems using advanced technologies and to work closely with a team that focuses on innovation.

How does the internship help in career development?

The internship offers varied experiences that help identify personal strengths, develop transferable skills, and align with a successful career path at S&P Global.

What should candidates know about the application process?

Candidates should submit their applications electronically, and if they require accommodations due to a disability, they can contact EEO.Compliance@spglobal.com for assistance.

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S&P Global

Finance
Industry
10,001+
Employees

Mission & Purpose

S&P Global (NYSE: SPGI) provides essential intelligence. We enable governments, businesses and individuals with the right data, expertise and connected technology so that they can make decisions with conviction. From helping our customers assess new investments to guiding them through sustainability and energy transition across supply chains, we unlock new opportunities, solve challenges and accelerate progress for the world. We are widely sought after by many of the world’s leading organizations to provide credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help the world’s leading organizations plan for tomorrow, today. For more information, visit www.spglobal.com. Our divisions include: – S&P Global Market Intelligence partners with customers to broaden their perspective and operate with confidence by bringing them leading data sources and technologies that embed insight in their daily work. – S&P Global Ratings offers critical insights for credit, risk and sustainable finance solutions that are essential to translating complexity into clarity, so market participants can uncover opportunities. – S&P Global Commodity Insights enables organizations to create long-term, sustainable value with data and insights for a complete view on the global energy and commodities markets. – S&P Global Mobility turns invaluable insights captured from automotive data to help our clients understand today’s market, reach more customers, and shape the future of automotive mobility. – S&P Dow Jones Indices provides iconic and innovative index solutions, bringing transparency to global capital markets. – S&P Global Engineering Solutions solves for tomorrow’s challenges today by transforming workflows and end-user experiences with data, insights and technology.