Data Scientist for Auto Underwriting Analytics

1 week ago


Alpharetta, United States LexisNexis Full time

At LexisNexis Risk Solutions, we provide customers with innovative solutions to help them make informed decisions.

About the Business

We use data and advanced analytics to assist our customers in evaluating and predicting risk. Our team works with a diverse range of products and technology, creating opportunities for you to grow and learn.

The Data Science Internship Program is designed for master's students looking to gain hands-on experience in applying data science methods to real-world problems. As a Data Scientist for Auto Underwriting Analytics, you will work on projects that involve analyzing data related to our Underwriting suite of products.

About the Role

This internship provides exposure to the Scoring and Modeling organization of LexisNexis' Insurance Division. You will learn about our business while working on data-science-related assignments and projects, including areas such as auto claims, fraud, life, home, commercial, and telematics.

Responsibilities
  • Conduct analysis and create performance reports in support of existing and new product development.
  • Develop analytic models, write analysis code, and collaborate with stakeholders to validate results.
  • Follow established best practices in statistical work and analyze plans by executing appropriate statistical and modeling techniques.
  • Assemble, merge, and parse large datasets to detect meaningful patterns and trends.
  • Provide support for client inquiries regarding score calculations or other analytical outputs.
  • Participate in targeted training designed to enhance technical skills and develop core competencies.
Requirements
  • Be a currently enrolled student working on a Master's in a Scientific, Mathematical, or Computer field.
  • Possess foundational knowledge of natural language processing, machine learning, and information retrieval.
  • Display familiarity with data manipulation languages and showcase a basic grasp of data modeling principles.
  • Be a natural problem solver, able to collaborate with your team to resolve issues.
  • Demonstrate excellent problem-solving skills and ability to think critically.
  • Possess excellent communication and interpersonal skills.

Our estimated salary for this role is $65,000 per year, based on industry standards and location.

Benefits

We offer a dynamic and inclusive work environment where diversity and innovation thrive. Our aim is for every employee to be the best version of themselves.



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