The Data Scientist intern will learn about the banking industry from a hands-on perspective by working closely with the Enterprise Information Management department. The intern will apply a data science skill-set and advanced machine learning methods to address high value banking business questions.

Responsibilities Include But Are Not Limited To

• Use Big Data tools (Hadoop, Spark, Azure) to conduct the analysis of billions of customer transaction and interaction records.
• Support the EIM department on one or more projects, which include a variety of collaborations throughout the company across the bank.
• Write query to filter data or to join multiple data sets.
• Perform predictive analytics and develop machine learning moels to generate insights from disparate and complex data sources.
• Read and/or create a Hive or an HCatalog table from existing data in HDFS.
• Design rich data visualizations to communicate complex ideas to business stakeholders.
• Communicate findings to business partners.

Requirements

Required Skills

• Ability to communicate, both verbally and written, to employees in the business units, utilizing non-technical language.
• Experience with machine learning classes.
• Ability to develop in Python and or Scala language or R.
• Strong experience utilizing SQL.
• Background/knowledge in Sales & Marketing and digital concepts/technologies.
• Knowledge of Machine Learning and Computational Statistics.
• Familiarity with BI Visualization tools like MS PowerBI.

Required Experience

• High School Diploma or GED and enrollment in a 2 or 4-year degree program.
• Enrollment in a 4-year college or university, with a concentration in computer science or IT related field preferred.