Currently pursuing degree in computer science, mathematics or equivalent
Pursuit of a graduate degree is a plus
Ability to code and develop prototypes in languages such as Python, C++, Java, Scala, SQL
Experience with DevOps a plus
Knowledge of and experience with Cloud platforms (e.g., AWS Sagemaker, Azure, Google Cloud Platform) is a plus
Demonstrated analytic agility and problem-solving skills
Ability and desire to learn new languages and technologies
Strong attention to detail
Solid written and oral communication skills
Desire to share and inform others
Desirables
Customer Centricity
Digital Literacy
Inclusive Leadership
Learning Agility
Results-Oriented
What the job involves
Utilize multidisciplinary approach to MLE problems to combine technical, analytics and business knowledge
Demonstrate high degree of analytic agility to meet fluid and dynamic business needs
Break down business problems into solvable components to recommend solutions
Utilize a wide variety of tools and languages to achieve results (e.g., Python, C++, Java, Scala, SQL)
Utilize Cloud platforms, such as AWS Sagemaker, to build, train, and deploy machine learning models
Utilize DevOps to help deploy machine learning models
Explore data sources to better understand the availability and quality of data
Embrace an environment that supports innovation and process improvement
Disseminate knowledge across the team
Application process
Target start date: May/June 2025 12-week summer internship program An attractive compensation package Collaborative team environment Planned intern activities; including lunches with Allstate officers as keynote speakers Volunteer/community service opportunities Possible full-time employment