You could be the one who changes everything for our 28 million members as an Intern at Centene. During this 12-week program, you'll learn more about Centene and how we're transforming the health of the community, one person at a time.
Overview
Day-to-day work:
The intern will work on advanced data science and machine learning projects. Responsibilities include developing and implementing algorithms such as classification, supervised learning, unsupervised learning, and neural networks. They will assist in building predictive models, optimizing algorithms, and validating results. The intern will also work with large datasets using platforms like Databricks and Palantir, perform feature engineering, and create visualizations to communicate insights effectively. Collaboration with senior data scientists and analysts will be a key part of their daily activities.
Ideal candidate skills and experience:
The ideal candidate should have advanced proficiency in Python for data science and machine learning, including libraries such as pandas, scikit-learn, TensorFlow, or PyTorch. Experience with Databricks and Palantir for big data processing and analytics is highly desirable. Strong knowledge of SQL for data manipulation and familiarity with data visualization tools is expected. Candidates should also demonstrate a solid understanding of machine learning techniques, including supervised and unsupervised learning, classification algorithms, and neural networks. Excellent problem-solving skills, attention to detail, and the ability to communicate technical concepts clearly are essential.
Challenges and top three skills to overcome them:
Challenges may include working with large and complex datasets, applying advanced machine learning techniques to real-world business problems, and ensuring model interpretability and compliance. The top three skills needed to overcome these challenges are:
Advanced analytical and problem-solving skills. Technical proficiency in Python and ML frameworks. Strong communication and collaboration skills to explain insights to non-technical stakeholders.
Location: Can work in any of the 50 US States.
Remote(summer): 40/hrs. a week, 12 week program (May-August2026)
Pay Range :$21-30/hr.
Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. Sponsorship and future sponsorship are not available for this opportunity, including employment-based visa types H-1B, L-1, O-1, H-1B1, F-1, J-1, OPT, or CPT.
Learn about various processes and functions within the Managed Care industry and develop professionally by contributing to projects that support the business.
- 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
- Performs other duties as assigned
- Complies with all policies and standards
Centene offers a comprehensive benefits package including competitive pay, health insurance, 401(k) and stock purchase plans, tuition reimbursement, paid time off plus holidays, and a flexible approach to work with remote, hybrid, field, or office work schedules. Actual pay will be adjusted based on an individual's skills, experience, education, and other job-related factors permitted by law, including full-time or part-time status. Total compensation may also include additional forms of incentives. Benefits may be subject to program eligibility.
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.
Qualified applicants with arrest or conviction records will be considered in accordance with the LA County Ordinance and the California Fair Chance Act
