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Data Science Intern

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Great American Insurance


Be Here. Be Great. Working for a leader in the insurance industry means opportunity for you. Great American Insurance Group s member companies are subsidiaries of American Financial Group, a Fortune 500 company. We combine a "small company" culture where your ideas will be heard with "big company" expertise to help you succeed. With over 30 specialty property and casualty operations and a variety of financial services, there are always opportunities here to learn and grow.

Great American Emerging Technologies co-ops/interns will become an integral part of our Emerging Technologies Data Science team.

  • Develop broad knowledge of Property and Casualty Insurance knowledge in order to assist customers
  • Work with our IT services division and our entire Predictive Analytics team to assist in facilitating our IT solutions.
  • Co-op will build upon a combination of Python, R, or SQL language skills in order to better understand how queries work and are implemented in our practices.
  • Utilize natural language processing and text mining techniques to transform unstructured text into normalized, structured data suitable for analysis or to drive machine learning (ML) and deep learning (DL) algorithms
  • Develop data transformations and manipulations in Python or R to fit our business needs
  • Build, assess, and validate predictive models
  • Present analysis results in table, plots, or other means to help with interpretations
  • Perform other duties as assigned

  • Currently pursuing a Bachelor s or Master s degree in Data Science, Computer Science, Information Systems, Informatics, or Business with a Technology Focus
  • This is a technical position requiring basic analytical and problem solving skills with attention to detail
  • Basic understanding of syntax and programing logic
  • Prior programming experience is a plus
  • Basic understanding of predictive analytics and statistics
  • Proficient with Microsoft Operating Systems
  • Proficient with Microsoft Office Applications (Specifically Excel with knowledge of pivot tables)
  • Ability to work both independently and as part of a team with professionals at all levels
  • Must be self-motivated and take initiative

Software Used

  • Oracle and SQL Server Databases (SQL Developer, Toad for Oracle, SQL Server Management Studio)
  • Amazon Web Services (DyanamoDB, Redshift, Cloudsearch)
  • Microsoft Azure
  • Hadoop
  • Python
  • R
  • Informatica
  • Mark Logic
  • SQL Query Language
  • Microsoft Office 2018

Associated topics: c, chip, c c++, computer engineering, computer science, electronic engineering, java, machine learning, software, software engineer
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