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

About this role:Wells Fargo is seeking talent to join the2027 Quantitative Analytics Summer InternshipProgram ACI(PhD). Learn more about the career areas and lines of business at

Program Overview The Wells Fargo Quantitative Analytics Internship Program offers PhD candidates an opportunity to apply advanced analytics artificial intelligence and machine learning to complex business challenges at one of the worlds leading financial institutions.

This 10-week summer internship combines hands-on project experience mentorship technical training and exposure to senior leaders. Through this 10-week internshipyoullwork alongside experienced quantitative professionals helping develop and evaluate innovative solutions that support business strategy risk management and customer experience across Wells Fargo.

Youllbe expected to bring fresh perspectives explore innovative approaches and contribute to solutions that support Wells Fargos strategic priorities. Along the wayyoulldevelop not only your technical capabilities but also the business acumen and leadership skills needed to succeed in a highly collaborative environment.

Whetheryoureadvancingcutting-edgeAI research developing innovative analytical solutions or collaborating with teams across the organizationyoullhave opportunities to make an impact while continuing to grow professionally. This internship offers valuable experience mentorship and networking opportunities that can help prepare you for the next step in your career.High performing interns may receive consideration for full-time roles after graduation.#earlycareers

You could work on high-impact projects like:

• 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 thatleverageenterprise 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 tovalidatemodel design calibration and implementation.

WhatYoullExperience:

• 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

• On-the-job experiences contributing to strategic business goals

Program dates:June August2027

Program Duration:10 weeks

Program Location:Charlotte NC

Required Qualifications:

Desired Qualifications:

• Currently pursuing a PhD degree in Computer Science Statistics Data Science Econometrics MathematicsEngineeringor related quantitative field with an expected graduation date after December 2027.

Technical Skills

• 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

Knowledge and Experience In:

Large Language Models & Model Training

• 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

Agentic AI

• Multi-agent architectures and orchestration frameworks likeLangChainLangGraph Googles ADKCrewAI

• Retrieval-Augmented Generation (RAG) applications and intelligent agent deployment

AI Infrastructure & Optimization

• Distributed GPU training

• Efficient model tuning approaches such asLoRAand PEFT

Additional Qualifications

• 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.

• Strong communicationskills with the ability to foster an inclusive environment and activelyseek apply and respond to feedback in collaborative analytical settings.

• Strong business acumen with a commitment to providing excellent service and supporting data-informed business outcomes.

• Ability to act with integrity support risk assessments and apply risk controls to help manage risk in a disciplined data-driven environment.

Join us at Wells Fargo and become a part of a dynamic team that is shaping the future of the financial industry. Apply now and embark on a journey towards personal and professional growth in quantitative analytics.

Based on the volume of applications received this job posting may be removed prior to the indicated close date. If you do not apply prior to the closing of thisposting we encourage you to apply for other opportunities with Wells Fargo. Aftersubmittingyour application pleasemonitoryour e-mail for future communications.