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

About this role: Wells Fargo is seeking talent to join the 2027 Quantitative Analytics Summer Internship Program  ACI (PhD). Learn more about the career areas and lines of business at wellsfargojobs.com 

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 world's 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 internship you'll work alongside experienced quantitative professionals, helping develop and evaluate innovative solutions that support business strategy, risk management, and customer experience across Wells Fargo. 

You'll be expected to bring fresh perspectives, explore innovative approaches, and contribute to solutions that support Wells Fargo's strategic priorities. Along the way, you'll develop not only your technical capabilities but also the business acumen and leadership skills needed to succeed in a highly collaborative environment. 

Whether you're advancing cutting-edge AI research, developing innovative analytical solutions, or collaborating with teams across the organization, you'll have 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 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. 

What You’ll Experience: 

• 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 – August 2027   

Program Duration: 10 weeks   

Program Location: Charlotte, NC  

Required Qualifications:

Desired Qualifications: 

• Currently pursuing a PhD degree in Computer Science, Statistics, Data Science, Econometrics, Mathematics, Engineering or 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 like LangChain, LangGraph, Google's ADK, CrewAI 

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

AI Infrastructure & Optimization 

• Distributed GPU training 

• Efficient model tuning approaches such as LoRA and 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 communication skills, with the ability to foster an inclusive environment and actively seek, 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 this posting, we encourage you to apply for other opportunities with Wells Fargo. After submitting your application, please monitor your e-mail for future communications.