Ready to make an impact? Read below!GEICO is looking for bright, driven graduate students to join our Graduate Data Science Internship for Summer 2021! Qualified interns will work with our Data Science team to solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science life cycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework. During this summer-long internship, you will be a member of this diverse and highly skilled team. On any given day, you may be exploring new data sets with a business or IT partner, learning the intricacies of a business process, building models, or coordinating the productionalization of a model. You will use a variety of tools (including SQL, Python, R, Spark, and shell scripting) in a variety of environments (including various databases, Linux servers, and Hadoop). You’ll work in a highly collaborative, team environment where you will quickly develop wide ranging exposure to new methods and best practices for conducting data science in a commercial environment. While participating in the internship program, students are evaluated and given consideration for full time post graduate employment. Required Qualifications:Current Masters or PhD Student with an expected graduation date of December 2021 or May 2022GPA of at least a 3.3 both overall and in major (Please upload your resume and all (undergraduate and graduate, if applicable) unofficial transcripts when submitting your application.)Currently enrolled in advanced degree program in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. Solid understanding and experience with advanced statistics and modern machine learning predictive techniques such as GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, etc.Strong coding skills using common data science tools, such as Python (strongly preferred), R, Linux/Unix command line and shell scripting, etc.Strong skills in data processing using SQL, Hive, Impala, Spark, or equivalent querying languageFamiliarity with distributed storage and big data computing technology (AWS, Hadoop, Spark, etc.)Excellent communication skillsPassion for extracting hidden insights and building machine learning systems that enhance business outcomesBefore the final interview, candidates will be expected to submit previous work displaying experience working with a Classification or Regression project using a machine learning model to solve a business problem or answer an analytical question, such as:A Kaggle competition submissionA Personal ProjectA project completed for a classPlease submit in R or Python & include a link to your code repoPlease prepare a presentation covering your methodology and conclusionsNote: The safety of our associates, both current and future, is GEICO’s highest priority. At this time, most of our associates are working remotely due to the current COVID-19 pandemic. Candidates who are selected for this position will be trained remotely and must be able to work from home in a designated work area. Once GEICO determines it is safe for associates to return to the office, candidates may be required to work in our Chevy Chase, MD office.