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Chesterfield, MO

Internship

Onsite

Intern

W. R. Berkley Corporation is a Fortune 500 company that focuses on improving the quality of life for employees injured on the job. The Data Science Intern role offers students an opportunity to gain hands-on experience in data management, advanced modeling, analytics, and visualization while working with large data sets to uncover actionable business insights.

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Responsibilities

Ensure that data and/or associated reports are accurate and securely delivered in a timely fashion.
Identify, research, analyze, and document data errors for correction.
Utilize data to answer assigned business problems. Provide written, graphical, and verbal summaries of the analysis.
Connect unrelated data sets from multiple sources both inside and outside the organization and extract meaningful insights.
Service the data needs of both internal and external customers by providing reports and/or electronic files, as needed.
Participate in code review and test code results by analyzing data output.
Work in a professional environment and interact/network with staff and leadership.
Observe and participate in all facets of the model/application development lifecycle including planning, requirements, development, and testing.
Develop a basic understanding of information technology especially as it relates to data, data warehousing, ETL processes, and data mining.
Understand project management practices and approaches including waterfall and Agile methodologies.
Expected to use and be competent with Microsoft technologies such as SQL Server, Power BI, & the Office Suite.
Expected to use and be competent with other applications such as Python, GitHub, Jira, & Confluence.

Qualification

Required

Pursuing an undergraduate or graduate degree in Data Science, Statistics, Mathematics, or related fields
Competent with Microsoft technologies such as SQL Server, Power BI, & the Office Suite
Competent with other applications such as Python, GitHub, Jira, & Confluence
Highly self-motivated and self-directed
Passion for working with data to solve problems
Proficiency with Excel; experience with database querying a plus
Strong analytical and critical thinking skills
Ability to communicate data insights verbally and visually
Proficiency in offering and actively engaging with constructive feedback