Data Scientist Intern

Key Skills

Analytical Techniques, Large data sets, Machine learning techniques, Natural Language Processing (NLP), Python Programming, R Programming, Scala Programming, SPARK Programming, SQL, Supervised learning

Job Description

S&P Global Market Intelligence 2023 Internship

The Role: Data Scientist Intern

The Team: New Product Development team gathers intelligence from across the financial services market, including new technologies, and new approaches to alternative data sources, to help define how they have the potential to impact businesses within the sector. We then define product opportunities and build partnerships with internal teams and third parties to develop new products that deliver new innovations. We succeed through leveraging unique research, big data, and machine learning techniques, and quantifying non-traditional data sources and risk analysis in bespoke models that help businesses manage their approach. This team works toward implementing ideas at the junction of Risk, Fintech and Data Science.

What’s In It For You

During your summer at S&P Global you'll have the chance to partner with our industry experts, with on-the-job experience focusing on high impact work that allows you to apply and develop your skills. Networking, business insights and tailored learning opportunities all support your growth and development, setting you up for success as you begin your career.

The Summer 2023 Internship Program will provide you with a variety of experiences to help you identify your strengths, develop highly transferable skills, and align you to a successful career path for a bright future at S&P Global.

Responsibilities

You will join a dynamic team that solves diverse problems using, applied machine learning in finance with an end-to-end implementation of the solution: inception, prototyping, development, production, and GTM/selling/positioning. Specifically, you will be responsible to:

• Create prototypes in a cloud environment.
• Mainly in Python and R with a distributed computing infrastructure for example Spark/Scala.
• Utilize Natural Language Processing (NLP) and alternative data sets to refine raw data for credit and risk management use cases.
• Inventory existing data sets to understand how it could impact credit and risk management.
• Evaluate and interpret results to present to the team.

What We’re Looking For

• Currently in the process of obtaining a Master or PhD, in Mathematics, Statistics, Operations Research or other related quantitative fields completed no later than May 2024
• Proficiency in using Python or R, a plus if you have experience with Machine Learning such as Natural Language Processing or Supervised ML
• 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 option, and articulate to the team
• Interest and understanding of the financial industry

Grade/Level (relevant for internal applicants only): 5

The Location: New York, NY. Remote- US.

Compensation/Benefits Information (This section is only applicable to US candidates):

S&P Global states that the anticipated hourly wage range for this position is $21 to $30. Final salary for this role will be based on the individual’s geographic location, as well as experience level, skill set, training, licenses, and certifications.

About Company Statement

S&P Global delivers essential intelligence that powers decision making. We provide the world’s leading organizations with the right data, connected technologies and expertise they need to move ahead. As part of our team, you’ll help solve complex challenges that equip businesses, governments, and individuals with the knowledge to adapt to a changing economic landscape.

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.

Equal Opportunity Employer

S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by 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: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. 

US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law.

203 - Entry Professional (EEO Job Group) (inactive), 20 - Professional (EEO-2 Job Categories-United States of America), ANLYTC203 - Entry Professional (EEO Job Group)