Applied AI Research Scientist

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

and Philippines (WFIP)
WFIP enables global talent capabilities for Wells Fargo Bank NA., by supporting over half of Wells Fargo’s business lines and staff functions across Technology, Business Services, Risk Services and Product, Analytics and Modeling. WFIP operates in Hyderabad, Bengaluru and Chennai in India and in Manila, Philippines. Learn more about WFIP at our International Careers website

Department Overview

:Enterprise Analytics and Data Science (EADS) brings a team member-based approach to the international talent pool focusing on analytical requirements 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. AI/ML COE is a part of EADS Responsible for the design, development and maintenance of internal, vendor-built, and embedded AI products and solutions using structured and unstructured data

About the Role

Applied AI Research Scientist is a business-technology-domain focused result-oriented role aimed at bringing the cutting edge of AI research to the forefront of business by building tangible proof-of-concepts, products, utilities, automated processes and playbooks.

Primary role of the incumbent in the Applied AI Research team is to be a highly technical player, with ability to research and come up with impactful ideas across AI/ML, NLP, Knowledge graph (and other statistical, quantitative and engineering techniques) and build scalable and efficient solutions and/or implementation playbook for business application.

As an Applied AI Research Scientist, the incumbent needs to be comfortable operating in a fast paced, results driven environment with water tight deadlines and producing measurable and tangible outcome. S(he) should be able to independently lead projects and work with business stakeholders, data engineering and technology teams to bring solutions to fruition. S(he) should be able to guide others working alongside in same or similar research projects and document findings and learnings in a scientific way.

As an Applied AI Research Scientist, s(he) will also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.

Responsibilities:

• He/she would research and create proof of concept products, solutions, playbooks, etc. on topics including (and not limited to) NLP, NLG, Deep Learning, Reinforcement Learning, GAN’s, Active Learning, Knowledge Graph on various application areas like banking, data governance, information security, operations, IT, climate change, etc.
• Evangelize and advocate about the developed AI POC’s, products and solutions across business and broader team – drive adoption
• Partner with universities and co-author papers and publication
• Required to work individually or as part of a team on data science and/or engineering problems and work closely with business partners across the organization
  

Market Skills and Certifications

Essential

Qualifications

:

• Masters/ PHD in machine learning, information science, engineering, statistics or a highly quantitative field with industry work experience
• Proven ability to relate to and solve business problems through machine learning and statistics
• 2+ years (with PhD) or 4+ years (with Masters) of hands-on experience developing and implementing machine learning algorithms and/or statistical models or with engineering fields
• Strong collaboration skills – work effectively in a matrixed environment - should be able to find ways to identify and secure resources if required
• Experience in developing models and solutions using both standard and advanced AI/ML techniques like Deep Learning, Reinforcement Learning, GAN’s, graphical models, etc.
• Deep knowledge in areas such as Knowledge Graph modeling, AI/ML driven search applications, document Q&A systems, Chatbots, fairness/bias in AI models, Causal inference, etc.
• Experience in developing NLP/NLG models across fields of topic modeling, text mining, documents, speech, etc. Experience in advanced concepts like Transformers is a bonus
• Strong programing skills using Python (with Anaconda), Scala, Java, Shell scripting, etc.
• Proven experience in leveraging open source AI/ML packages (including names such as Tensorflow, Keras, Pytorch, NLTK, TextBlob, SpaCy, AllenNLP, MonkeyLearn, Hugging face, BERT, GPT-3, etc.)
• Experience with third-party/vendor AI/ML capabilities like Neo4J, IBM Watson, Snorkel, Lucid, etc.
• Experience in one or more of Big Data skills – SQL, Aster, Teradata, Hadoop, SPARK

Desired

Qualifications:

• Knowledge of banking industry and products in at least one of the LOB such as credit cards, mortgage, deposits, loans or wealth management etc.
• Experiences in AI/ML model development using cloud technologies (GCP, Azure, AWS). GCP experience with AutoML, VertexAI, etc. will be huge bonus.
• Hands on knowledge of Knowledge Graph and graph models will be a big plus
• Strong publication record in peer reviewed academic journals and/or proven track record of managing industry-academia partnership

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. 71520