About this role:
Wells Fargo is seeking a Senior Lead Business Execution Consultant.
Shared Services Operations - Operational Excellence team is seeking an Applied Data Scientist with a strong data science background to deliver traditional AI and Generative AI solutions for driving operational efficiencies, improve internal and external customer experiences with the use of AI. The candidate needs to possess a mix of technical expertise, creative problem-solving skills, and the ability to align AI solutions with business needs.
In this role, you will:-
Lead complex initiatives including creation, implementation, documentation, validation, articulation, and defense of highly advanced AI and Generative AI solutions.
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Deliver solutions for short and long-term objectives and provide analytical support for a wide array of business initiatives.
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Utilize neural network architectures, including transformer-based models such as GPT, BERT, and others for driving operational efficiencies.
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Familiarity with using diffusion models or multimodal AI depending on the use cases.
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Hands-on experience with fine-tuning, training, and deploying large language models (LLMs) in on-premises, cloud or hybrid environments.
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Strong hold on tokenization, embeddings, and model evaluation metrics.
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Present results of analysis, solution recommendations and AI-driven strategies for variety of business initiatives.
Required Qualifications:-
7+ years of Business Execution, Implementation, or Strategic Planning experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Desired Qualifications:-
7+ years of Data Science experience, or equivalent demonstrated through one or a combination of the following: work experience, training, research and education.
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Bachelor's/master's degree in a discipline such as Data Science, Computer Science, statistics, or mathematics.
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Expertise in Python and key/major frameworks like TensorFlow, PyTorch, and HuggingFace.
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Experience in using ML Ops tools (e.g., MLflow, Kubeflow) for scaling and deploying models in production.
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Experience working with on Google Cloud Platform and expertise in using the GCP services.
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Expertise in Scala for processing large-scale data sets for use cases.
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Proficiency in Java, JavaScript (Node.js) for back-end integrations and for building interactive AI-based web applications or APIs.
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Experience with SQL and NoSQL languages for managing structured, unstructured, and semi-structured data for AI and Generative AI applications.
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Critical thinking and strong problem-solving skills.
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Ability to learn the latest technologies and keep up with the trends in the Gen-AI space and apply to the business problems quickly.
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Ability to multi-task and prioritize between projects and able to work independently and as part of a team.
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Graduate degree from a top tier university (e.g., IIT, ISI, IIIT, IIM, etc.,) is preferred.
Job Expectations:-
Required to work individually or as part of a team on multiple AI and Generative AI projects and work closely with business partners across the organization. Mentor and coach budding Data Scientists on developing and implementing AI solutions.
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Perform various complex activities related to neural networks and transformer-based models.
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Provide analytical support for developing, evaluating, implementing, monitoring, and executing models across business verticals using emerging technologies.
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Expert knowledge on working on large datasets using SQL or NoSQL and present conclusions to key stakeholders.
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Establish a consistent and collaborative framework with the business and act as a primary point of contact in delivering the solutions.
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Experience in building quick prototypes to check feasibility and value to business.
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Expert in developing and maintaining modular codebase for reusability.
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Review and validate models and help improve the performance of the model under the preview of regulatory requirements.
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Work closely with technology teams to deploy the models to production.
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Prepare detailed documentations for projects for both internal and external use that comply with regulatory and internal audit requirements.
Posting End Date:
2 Jul 2025
*Job posting may come down early due to volume of applicants.
We Value Equal Opportunity
Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.
Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements.
Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.
Applicants with Disabilities
To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo .
Drug and Alcohol Policy
Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.
Wells Fargo Recruitment and Hiring Requirements:
a. Third-Party recordings are prohibited unless authorized by Wells Fargo.
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.
