Data Scientist Intern

1 week ago


Chesterfield, Missouri, United States RGA Reinsurance Company Full time
Position Overview

RGA Reinsurance Company is seeking a talented data scientist to join our team for a summer internship. As a data scientist intern, you will have the opportunity to develop and implement predictive modeling solutions for both internal and external clients. Your work will focus on designing and developing data analytic tools to meet the needs of various business applications. You will collaborate with colleagues to ensure efficient and innovative performance.

Responsibilities
  • Assist in the development of predictive models for commercial applications.
  • Create and develop data processing tools for diverse data sources, including tables, texts, and images.
  • Perform tests and develop diagnostic methodologies to ensure the accuracy and reliability of data processing pipelines.
  • Validate and clean data from multiple sources, ensuring data quality and integrity for effective modeling.
  • Participate in research-related activities.
  • Maintain regular and predictable attendance.
Requirements
  • Pursuing a BS/MS/PhD in mathematics, physics, statistics, engineering, computer science, computational neuroscience/biology, or a related field.
  • Proficiency in at least one programming language, such as C/C++, Java, Python, or R.
  • Excellent understanding of machine learning techniques and algorithms, including GLM, k-NN, decision Trees, and neural networks.
  • Strong problem-solving skills and debugging abilities.
  • Understanding of object-oriented design and application architectures.
Preferred Qualifications
  • Knowledge and experience with data technologies, such as Spark, HDFS, Hive, HBase, and GPU processing.
  • Knowledge and experience with image processing, computer vision, and NLP.
Company Overview

RGA Reinsurance Company is a leading global provider of life reinsurance, with offices worldwide. Our mission is to enhance our clients' prosperity by supporting their financial and risk management capabilities.

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