YOU COULD BE THE ONE WHO CHANGES EVERYTHING FOR OUR 25 MILLION MEMBERS AS A MACHINE LEARNING ENGINEER INTERN.

POSITION PURPOSE:

This position is on our Machine Learning team.

Perform tasks required to implement predictive modeling features as software, including building artificial intelligence (AI), machine learning (ML), and statistical models; packaging, deploying, integrating, and supporting AI/ML models; and building platforms and processes to facilitate the development of AI/ML models by others.

• Learn various job functions within the Managed Care industry and explore various career opportunities
• Apply academic knowledge and learn new skills by contributing to various projects
• Communicate project status and results to staff mentors and management
• Research various legal, regulatory, and other topics within functional area and industry
• Attend training and development presentations to enhance professional competencies

Learn about various processes and functions within the Managed Care industry and develop professionally by contributing to projects that support the business. Experience/Experience: Bachelor’s degree. Must be enrolled in a graduate program at an accredited university or college in a field related to the hiring department through the internship period. Pursuing a Masters degree in Machine Learning, AI, Statistics, Math, Physics, Chemistry or Economics.

Software engineering proficiency in 2+ programming languages, databases, version control, statistics, or machine learning. Knowledge of SQL and noSQL databases, writing and consuming APIs, application containers (e.g. Docker), streaming data, building predictive models, compute clouds, creating database schemas, Linux administration, continuous integration/continuous deployment.

Centene is an equal opportunity employer that is committed to diversity, and values the ways in which we are different. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other characteristic protected by applicable law.