Graduate Analytics Intern - Enterprise AI (Summer 2025)
Remote US, United States
Ā The Graduate Analytics Intern role is with the Responsible AI team within the AI Center of Excellence. The team is focused on enabling and maturing the Responsible AI capabilities across Humana. The Graduate Analytics Intern will leverage large sets of structured and unstructured data to develop tactical and strategic insights in the Responsible AI domain.
The Graduate Analytics Intern on the Responsible AI team will collaborate closely with data scientists and AI governance partners to ideate and implement best practices for the responsible and ethical use of AI at Humana. In this role, the intern will develop technical solutions that translate the principles of Responsible AI into practice, ensuring that our AI solutions are safe, fair, transparent, reliable, accountable, and secure.
Use your skills to make an impact
Ā
Required Qualifications
- Pursuing a master's degree or PhD in Computer Science, Business & Data Analytics, Mathematics, Statistics, Engineering, or related technical fields. Candidates pursuing a graduate level degree in Philosophy/Ethics will also be considered if they have the preferred technical qualifications.
- Graduate from your program in December 2025 or laterĀ
- Excited at the prospect of working with extremely large datasets that cover millions of members over multiple yearsĀ
- Genuine and authentic communication skills and the ability to effectively deliver crisp messages to a broad audienceĀ
- Solid organizational skills including attention to detail and multitasking skillsĀ
- Skilled with Python or associated libraries
- Team player with strong interpersonal relationship, team building, collaboration and facilitation skillsĀ
- Must not require sponsorship to work in the U.S. now or in the future
Preferred Qualifications
- Have a strong academic history, with a minimum 3.0 cumulative GPA being desired
- Possess an interest in working in the healthcare industry
- Knowledgeable in research for on algorithmic fairness, transparency, and accountability especially around the detection and mitigation of unconscious bias in machine learning models
- Knowledgeable about best practices for test and evaluation of Large Language Model applications
- Familiarity working with marginalized groups or knowledge of diverse social history
- Experience working with AI ethics stakeholders such as compliance, product, and users
Scheduled Weekly Hours
40Pay Range
The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the ā¦This job isn't fresh anymore!
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Occasional travel Remote position Remote US
Benefits/Perks401(k) Plan 401k retirement 401k Retirement Savings Business travel Caring community Collaboration Disability Employee Assistance Program Health first Life Occasional travel Paid Time Off Remote position Support whole-person well-being Time off Whole-person well-being
Tasks- Analyze data
- Collaborate with teams
- Collaboration
- Communication
- Compliance
- Data Analytics
- Develop insights
- Facilitation
- Implement best practices
- Research
- Training
Accountability AI Ai ethics Analytics Attention to detail Best Practices Business Collaboration Communication Compensation Compliance Computer Computer Science Data Data & Analytics Education Engineering Ethics Evaluation Facilitation Governance Healthcare Healthcare industry Healthcare services Insurance Interpersonal IT Machine Learning Mathematics Medicaid Medicare Multitasking Organizational Policy Python Recruitment Research Responsible AI SAFe Statistics Strategic Insights Support Team building Technical Technical Solutions Training Transparency Travel
Experience0 years
EducationAnalytics Associates Business Business Analytics Communication Computer Science Data Analytics Education Engineering Graduate Healthcare Higher IT Master's Master's degree Mathematics Ph.D. Statistics
Certifications TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9