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Predictive Analytics

CNA's Predictive Analytics Summer Internship Program provides the opportunity to use statistical techniques and advanced analytical approaches, including applied econometrics and alternate classification techniques, to understand, analyze and interpret our customers' behavior and drive company strategies.

Program Description
This dynamic program provides:

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  • Challenging, innovative assignments that allow you to gain real-world experience in applying data modeling skills.
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  • Presentation of project results to our senior leadership team.
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  • A dedicated manager and mentor.
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  • Ongoing training in the form of sessions that include luncheons with members of senior staff covering various topics related to the insurance industry.
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  • Professional and personal development activities.
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  • Additional networking opportunities.


At the conclusion of the internship, you may be given consideration for full-time employment.

Knowledge and Skills Requirements

  • Must be pursuing a master's or PhD degree in Mathematics, Statistics, Actuarial Science or other discipline with strong quantitative requirements.
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  • Minimum GPA of 3.0/4.0 or 4.0/5.0 to date, with a GPA of 3.5/4.0 or higher strongly preferred.
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  • Excellent interpersonal and communication skills.
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  • Familiarity and experience using programming languages (SAS, R, SPSS preferred).
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  • Interest in pursuing a career in Predictive Analytics after graduation.

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"CNA" is a service mark registered by CNA Financial Corporation with the United States Patent and Trademark Office. Certain CNA Financial Corporation subsidiaries use the "CNA" service mark in connection with insurance underwriting and claims activities. Copyright © 2021 CNA. All rights reserved.

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