About Wells Fargo
Wells Fargo & Company (NYSE: WFC) is a leading global financial services company headquartered in San Francisco (United States). Wells Fargo has offices in over 20 countries and territories. Our business outside of the U.S. mostly focuses on providing banking services for large corporate, government and financial institution clients. We have worldwide expertise and services to help our customers improve earnings, manage risk, and develop opportunities in the global marketplace. Our global reach offers many opportunities for you to develop a career with Wells Fargo. Join our diverse and inclusive team where you will feel valued and inspired to contribute your unique skills and experience. We are looking for talented people who will put our customers at the center of everything we do. Help us build a better Wells Fargo. It all begins with outstanding talent. It all begins with you.
Market Job Description
About Wells Fargo India
Wells Fargo India enables global talent capabilities for Wells Fargo Bank NA., by supporting business lines and staff functions across Technology, Operations, Risk, Audit, Process Excellence, Automation and Product, Analytics and Modeling. We are operating in Hyderabad, Bengaluru and Chennai locations.
Product, Analytics and Modeling (PAM) brings a team member-based approach to the international talent pool focusing on analytical requirements. PAM encompasses roles that deliver meaningful insights, analysis and reporting based on skills, experience and judgment to support the Enterprise Analytics and Data Science (EADS) organization operate successfully today, and continue on the right trajectory to operate successfully in the future. EADS is the central analytics group tasked with solving high-impact business challenges and standing up cutting-edge analytical capabilities to be shared across Wells Fargo's analytic community.
About the Role:
Advanced Analytics Consultant/Data Scientist is a partner-facing role and is responsible for delivering high impact analytic and data science projects by using analytics and AI.
Primary role of the advanced analytics consultant in the AI Model Development COE is to apply business knowledge and advanced programming skills and analytics to serve as a subject matter expert, analyst, advisor and consultant to support model lifecycle - model development, performance testing, data analysis, model implementation, model production, delivery of model results, change management, documentation and governance.
Person would be required to work individually or as part of a team on data science projects and work closely with business partners.
Perform Data wrangling activities.
He/she would be developing statistical/machine learning models using various techniques (supervised, unsupervised, semi-supervised) and technologies including but not limited to Python, R, SAS, Spark, H2O, Aster etc.
Define business problem and translate it into analytical problem.
Market Skills and Certifications
BS/BA degree or higher in a quantitative field such as applied math, statistics, engineering, physics, accounting, finance, economics, econometrics, computer sciences, or business/social and behavioral sciences with a quantitative emphasis
1-3 years of experience
Experience in various aspects of Natural Language Processing (NLP) such as regular expression, feature extraction, topic modeling etc. is must.
Experience with supervise , unsupervised & semi supervise learning
Experience with Deep-learning, Artificial intelligence techniques
Understand basics of Image/Voice processing, digital analytics, deep learning, machine learning
Good command over Excel, data management.
We Value Diversity
At Wells Fargo, we believe in diversity and inclusion in the workplace; accordingly, we welcome applications for employment from all qualified candidates, regardless of race, color, gender, national or ethnic origin, age, disability, religion, sexual orientation, gender identity or any other status protected by applicable law. We comply with all applicable laws in every jurisdiction in which we operate.