2027 Quantitative Analytics Summer Internship Applied Computational Intelligence (ACI PhD) – Early Careers

About the role

Wells Fargo’s 10-week Quantitative Analytics Summer Internship in Charlotte, North Carolina, is for PhD candidates applying artificial intelligence, machine learning, advanced analytics, and quantitative methods to business challenges. Interns contribute to projects involving generative AI, agentic systems, large language models, model validation, and scalable solutions, with mentorship and technical training.

Responsibilities

• Develop AI-powered advisors and decision-support systems using customer, relationship, market, and enterprise data.
• Build generative AI assistants and intelligent agents leveraging enterprise knowledge, reasoning, and workflow orchestration.
• Design and deploy agentic AI and multi-agent systems for customer service, operational, and business processes.
• Create knowledge intelligence platforms using RAG, LLMs, multimodal AI, and structured and unstructured data.
• Train, evaluate, optimize, and deploy LLMs, speech technologies, and emerging foundation models.
• Apply statistical and quantitative techniques to validate model design, calibration, and implementation.

Program Experience

• Complete a 10-week summer internship in Charlotte, North Carolina, from June through August 2027.
• Gain hands-on project experience, mentorship, technical training, and exposure to senior Wells Fargo leaders.
• Participate in an offsite intern induction week, structured onboarding, and senior-leader speaker series.
• Access professional development opportunities and networking with fellow interns and colleagues.
• Contribute to strategic business goals through on-the-job quantitative analytics and artificial intelligence projects.
• High-performing interns may receive consideration for full-time roles after graduation.