Qualifications: •Completion of or progress towards a degree in Data Science, Mathematics, Statistics, or any other applied or quantitative discipline •Experience in Python or R, and various libraries/packages •Some understanding of machine learning concepts and techniques, including tree-based models and neural networks •Ability to perform critical thinking and statistical analysis •Strong oral and written communication skills •Knowledge around computer vision, Natural Language Processing, or Large Language Models preferred •Experience with SQL, stored procedures, or APIs preferred •Familiarity with platforms like Spark, Kubernetes, Docker, or Jenkins preferred •Ability to commute when scheduled to the local office is required•Able to work independently and communicate within a team environment•Results oriented•Flexible and open to change•Stable and progressive work history•Professional appearance and demeanor•Hours during regular work week, Ability to commute daily to local office is required. Additionally, the Data Scientist Intern may be asked to help facilitate the curation of our data upstream from the work described above, making the actual analysis and modeling of the data possible.