2027 Quantitative Analytics Summer Internship Applied Computational Intelligence (ACI Masters) - Early Careers

Wells Fargo is a leading financial institution offering a quantitative analytics internship focused on advanced analytics, artificial intelligence, and machine learning. The role provides hands-on experience developing and evaluating solutions for business strategy, risk management, customer experience, and operational efficiency, along with mentorship, technical training, and exposure to senior leaders.

What you'll do:

• Develop AI-powered advisors and decision support systems that synthesize customer, relationship, market, and enterprise data to generate insights, recommendations, and actions
• Build Generative AI assistants and intelligent agents that leverage enterprise knowledge, reasoning, and workflow orchestration to support employees and customers
• Design and deploy agentic AI and multi-agent systems that automate customer service, operational, and business processes through planning, task execution, and human-in-the-loop collaboration
• Create enterprise knowledge intelligence platforms using Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), multimodal AI, and structured and unstructured data to power search, reasoning, decision support, and workflow automation
• Advance the state of enterprise AI through model training, evaluation, optimization, and deployment of LLMs, speech technologies, and emerging foundation models
• Deploy scalable Generative AI and machine learning solutions that improve productivity, customer experience, risk management, decision-making, and operational efficiency across the enterprise
• Applying statistical and quantitative techniques to validate model design, calibration, and implementation
• Spend your Intern Induction Week at an offsite location
• Structured and engaging onboarding experience
• Speaker series with Wells Fargo senior leaders
• Professional development opportunities
• Networking and engaging with peers

What they're looking for:

• 6+ months of work experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• Work experience, or equivalent demonstrated through one or a combination of the following: work experience, training, education
• Strong programming experience with tools such as Python, Go, C++, Rust, Java, Spark, or similar technologies
• Hands-on experience developing machine learning and AI solutions in research, academic, or industry environments
• Experience with supervised fine-tuning (SFT) and post-training methodologies including RLHF, RLAIF, PPO, DPO, and GRPO
• Training and deploying models in cloud environments, including GCP
• Multi-agent architectures and orchestration frameworks like LangChain, LangGraph, Google's ADK, CrewAI
• Retrieval-Augmented Generation (RAG) applications and intelligent agent deployment
• Distributed GPU training
• Efficient model tuning approaches such as LoRA and PEFT
• Strong quantitative and analytical skills, with the ability to apply data analysis, modeling, visualization, statistics, research, and generative AI to generate insights, adapt quickly, and support innovative solutions
• Ability to execute with urgency, apply data and software engineering skills to design, develop, and deliver scalable solutions, and drive operational excellence with strong data management and an enterprise mindset

Benefits:

• 10-week summer internship with hands-on project experience
• Mentorship
• Technical training
• Exposure to senior leaders
• Opportunities to make an impact while continuing to grow professionally
• Valuable experience, mentorship, and networking opportunities
• Spend your Intern Induction Week at an offsite location
• Structured and engaging onboarding experience
• Speaker series with Wells Fargo senior leaders
• Professional development opportunities