Important Note: During the application process, ensure your contact information (email and phone number) is up to date and upload your current resume when submitting your application for consideration. To participate in some selection activities you will need to respond to an invitation. The invitation can be sent by both email and text message. In order to receive text message invitations, your profile must include a mobile phone number designated as 'Personal Cell' or 'Cellular' in the contact information of your application. 

At Wells Fargo, we want to satisfy our customers' financial needs and help them succeed financially. We're looking for talented people who will put our customers at the center of everything we do. Join our diverse and inclusive team where you'll feel valued and inspired to contribute your unique skills and experience. 

Help us build a better Wells Fargo. It all begins with outstanding talent. It all begins with you. 

Data Management and Insights (DMI) is transforming the way that Wells Fargo uses and manages data. Our work enables Wells Fargo to empower and inform our employees, deliver exceptional experiences for our customers, and meet the elevated expectations of our regulators. The team is responsible for designing the future data environment, defining data governance and oversight, and partnering with technology to operate the data infrastructure for the company. This team also provides next generation analytic insights to drive business strategies and help meet our commitment to satisfy our customers' financial needs.

The Artificial Intelligence Model Development Center of Excellence (AI MD CoE) team is a data science team, responsible for developing and deploying machine learning and AI solutions for a number of domain areas such as fraud prevention, credit risk, experience personalization, customer listening, anomaly detection and operational cost improvement. The CoE partners closely with the AI Enterprise Solutions and the AI Technology teams at the bank, and brings a cross-functional approach to identifying, developing and deploying AI solutions.

The CoE requires high-skill/ high-motivation individuals who enjoy working collaboratively in a team setting, used to taking decisions autonomously and comfortable with a dynamic work environment.

The NLP Data Science team in Enterprise Analytics and Data Science (EADS) is responsible for developing and deploying NLP, machine learning, and AI solutions for key strategic Enterprise initiatives such as customer experience improvement, risk management and compliance, business operational excellence, and team member experience. The team is looking for an experienced analytics professional to add to its AI/ML/NLP model development team for Internal Audit. 

As part of the AI/ML/NLP data science team for Internal Audit model development, you will be responsible for designing, developing, and implementing AI/ML models focusing on Internal Audit initiatives for the enterprise and Wells Fargo lines of business. You will be leveraging unstructured text such as emails, text messages, notes, and semi-structured data in combination of structured data to apply text analytics and AI/NLP/ML techniques. You will use open stack programming languages (primarily Python) and/or vendor solutions to develop models and deploy them on Wells Fargo's AI platform. The ideal candidate should be able to think outside the box to uncover new ways to analyze unstructured data in conjunction with analytical tools to answer complicated business questions. As part of the model development team, you will be responsible of delivering solutions that meet business needs as well as any efforts related to model documentation and reviews to ensure the modeling processes and procedures meet corporate model risk policies and requirements.  

KEY RESPONSIBILITIES INCLUDE:

As part of the AI/ML/NLP data science team focused on Internal Audit AI models across the enterprise, you will work within the team to follow and develop the analysis according to our analytic process:

• Partner with Internal Audit executives and senior leaders to frame the problem and define/identify business objectives
• Identify/assess data sources
• Design, develop, and deploy AI/ML models using state of the art NLP and ML techniques available in the open stack and/or vendor solutions
• Data visualization
• Communicating the results
• Responsible of model development document and monitoring processes
• Adhere to corporate model risk policy and ensure compliance with model risk management 
• Working with other data science teams to identify, gather, retain, and publicize modeling artifacts required for approved and repeatable processes 
• Contribute to NLP data science teams group effort to stay concurrent with the cutting edge and bleeding edge of NLP/ML/DL algorithms, methodologies in the open source community and vendor solutions
• Work with AI technology and production teams to operationalize models
• May be called upon to review vendor models and solutions and/or models developed outside of EADS

• 2+ years of experience in an advanced scientific or mathematical field
• A master's degree or higher in a quantitative field such as mathematics, statistics, engineering, physics, economics, or computer science
• 1+ years of Natural Language Processing (NLP) experience
• 2 + years of experience using quantitative machine learning techniques
• 2+ years of Python experience
• 2+ years of SQL experience

• Strong analytical skills with high attention to detail and accuracy
• Ability to work and influence successfully within a matrix environment and build effective business partnerships with all levels of team members
• Meeting facilitation experience in leading discussions that result in consensus and commitment
• Big Data experience

• Experience using GitHub for version control and collaboration
• Knowledge and/or experience with the following:
  • Implementing solutions with common NLP frameworks and libraries in Python (NLTK, spaCy, gensim) or Java (Stanford CoreNLP, NLP4J)
  • Common NLP techniques, such as:
    • Pre-processing (tokenization, part-of-speech tagging, parsing, stemming)
    • Semantic analysis (named entity recognition, sentiment analysis)
    • Modeling and word representations (TF-IDF, LSA, LDA, word2vec)
  • Data engineering skills (deploying analytical solutions across an organization in a production format)
  • Hands on experience with vendor tools such as Digital Reasoning

AZ-Tempe: 1150 W Washington St - Tempe, AZ
IA-Des Moines: 6200 Park Ave - Des Moines, IA
MN-Minneapolis: 600 S 4th St - Minneapolis, MN
NC-Charlotte: 11625 N Community House Road - Charlotte, NC
NC-Charlotte: 401 S Tryon St - Charlotte, NC
IA-Des Moines: 800 Walnut St - Des Moines, IA

All offers for employment with Wells Fargo are contingent upon the candidate having successfully completed a criminal background check. Wells Fargo will consider qualified candidates with criminal histories in a manner consistent with the requirements of applicable local, state and Federal law, including Section 19 of the Federal Deposit Insurance Act.



Relevant military experience is considered for veterans and transitioning service men and women.

Wells Fargo is an Affirmative Action and Equal Opportunity Employer, Minority/Female/Disabled/Veteran/Gender Identity/Sexual Orientation.