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Data Scientist - Intern

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CME Group

1mo ago

  • Internship
    Full-time
    Off-cycle Internship
  • Data
    Software Engineering
  • Quick Apply

AI generated summary

  • You should have a major in CS, be fluent in Python and Machine Learning, possess strong analytical skills, and have experience with GIT, Linux, and cloud technologies. Knowledge of finance markets is preferred.
  • You will develop ML applications, process structured/unstructured data, create analytics, visualize metrics, and build data pipelines using SQL and GCP to enhance user experience and product adoption.

Requirements

  • Major in Computer Science, Information Systems, Computer Engineering
  • Fluent in Python, Pandas, Machine Learning, Cloud Computing
  • Analytical skills and the ability to decipher complex business problems
  • Strong programming skills and experience using statistics, machine learning and neural networks
  • Knowledge of GIT, Linux
  • Experience with any of Cloud Computing Technology (Google, AWS, Azure)
  • Understanding of the commodity and financial derivative markets is preferred

Responsibilities

  • Develop applications in machine learning, time series, and neural networks to create new data products for the derivatives financial market participants.
  • Use machine learning and natural language processing to create advanced analytics such as optimizing user journeys on our website that lead to higher product adoption, search ranking, text/sentiment classification enabling user experience personalization.
  • Gather and process both structured and unstructured data at scale (including handling data across multiple formats, creating scripts, data pipeline).
  • Work closely with senior data scientists to understand the requirements where data driven solutions are applicable.
  • Visualize metrics in Looker, Tableau, Python visualizations and present analytics to high level business leaders.
  • Capable of investigating, familiarizing, and mastering new data quickly and combining multiple data sets together (transaction, CRM, and website data)
  • Create, optimize, and maintain data and feature pipelines
  • Assemble large complex datasets that meet functional/non-functional business needs
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and GCP 'big data' technologies

FAQs

When does the Data Science internship start?

The Data Science internship is set to start in January 2025.

What is the main mission of the Data Science team at CME Group?

The main mission of the Data Science team is to provide analytics and insights related to economic markets, clients, and products within CME Group, utilizing diverse skill sets including statistics, machine learning, and data analytics.

What are the primary responsibilities of a Data Scientist intern?

The primary responsibilities include developing machine learning applications, processing structured and unstructured data, visualizing metrics, and collaborating with senior data scientists to create data-driven solutions.

What qualifications are required for this internship?

The minimum qualifications include being a major in Computer Science, Information Systems, or Computer Engineering, and being fluent in Python, Pandas, Machine Learning, and Cloud Computing.

Are there any preferred qualifications for candidates?

Yes, preferred qualifications include strong analytical skills, experience with programming and machine learning, knowledge of GIT and Linux, familiarity with cloud computing technologies, and an understanding of the commodity and financial derivative markets.

What tools or technologies should interns be familiar with?

Interns should be familiar with SQL, GCP 'big data' technologies, and data visualization tools such as Looker and Tableau.

How does CME Group support the professional growth of its interns?

CME Group invests in the success of its interns by providing opportunities to work alongside leading experts, contribute to impactful projects, and develop skills in a collaborative environment.

Will interns have the chance to present their findings to business leaders?

Yes, interns will visualize metrics and present analytics to high-level business leaders as part of their responsibilities.

What type of data will interns work with during the internship?

Interns will work with both structured and unstructured data, including transaction, CRM, and website data.

Is prior knowledge of financial markets necessary for the internship?

While understanding the commodity and financial derivative markets is preferred, it is not strictly necessary for the internship.

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CME Group

CME Group is the world’s leading derivatives marketplace

Finance
Industry
1001-5000
Employees
1848
Founded Year

Mission & Purpose

As the world's leading derivatives marketplace, CME Group (www.cmegroup.com) is where the world comes to manage risk. CME Group exchanges offer the widest range of global benchmark products across all major asset classes, including futures and options based on interest rates, equity indexes, foreign exchange, energy, agricultural commodities, metals, weather and real estate. CME Group brings buyers and sellers together through its CME Globex® electronic trading platform and its trading facilities in New York and Chicago. CME Group also operates CME Clearing, one of the world’s leading central counterparty clearing provider in the world, which offers clearing and settlement services for exchange-traded contracts, as well as for over-the-counter derivatives transactions through CME ClearPort®. These products and services ensure that businesses everywhere can substantially mitigate counterparty credit risk in both listed and over-the-counter derivatives markets.