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

About the role

Wells Fargo's 2027 Quantitative Analytics Summer Internship offers PhD candidates a 10-week program to apply AI, machine learning, and advanced analytics to financial business challenges. Interns gain hands-on experience, mentorship, and exposure to senior leaders in Charlotte, NC.

Program Overview

• 10-week summer internship from June to August 2027 in Charlotte, NC.
• Focus on AI, machine learning, and advanced analytics in finance.
• Hands-on projects, mentorship, and technical training provided.
• Exposure to senior leaders and networking opportunities.
• Opportunity to develop business acumen and leadership skills.
• High performers may be considered for full-time roles.

Key Projects

• Develop AI-powered advisors and decision support systems.
• Build Generative AI assistants leveraging enterprise knowledge.
• Design multi-agent AI systems for automation and collaboration.
• Create knowledge intelligence platforms using LLMs and RAG.
• Advance enterprise AI through model training and deployment.
• Deploy scalable AI and machine learning solutions.

Experience and Training

• Intern Induction Week at an offsite location.
• Structured onboarding and speaker series with senior leaders.
• Professional development and peer networking opportunities.
• On-the-job experience contributing to strategic goals.

Required Qualifications

• 2+ years of work experience or equivalent through education or training.

Desired Qualifications

• Pursuing PhD in Computer Science, Statistics, Data Science, or related field.
• Expected graduation after December 2027.
• Strong programming skills in Python, Go, C++, Rust, Java, or Spark.
• Experience developing machine learning and AI solutions.
• Knowledge of LLM training, fine-tuning, and cloud deployment.
• Familiarity with agentic AI, multi-agent frameworks, and RAG applications.

Additional Skills

• Strong quantitative, analytical, and data visualization skills.
• Ability to design scalable solutions and drive operational excellence.
• Excellent communication and collaboration skills.
• Strong business acumen and commitment to service.
• Ability to manage risk and apply risk controls effectively.