About this role:
Wells Fargo is seeking a Lead Analytics Consultant.
In this role, you will:
- Advise line of business and companywide functions on business strategies based on research of performance metrics, trends in population distributions, and other complex data analysis to maximize profits and asset growth, and minimize operating losses within risk and other operating standards
- Provide influence and leadership in the identification of new tools and methods to analyze data
- Ensure adherence to compliance and legal regulations and policies on all projects managed
- Provide updates on project logs, monthly budget forecasts, monthly newsletters, and operations reviews
- Assist managers in building quarterly and annual plans and forecast future market research needs for business partners supported
- Strategically collaborate and consult with peers, colleagues, and mid-level to senior managers to resolve issues and achieve goals
- Lead projects, teams, or serve as a peer mentor to staff, interns and external contractors
Required Qualifications:
- 5+ years of Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Desired Qualifications:
- 5+ years of data science experience, or equivalent demonstrated through one or a combination of the following: work experience, training, education.
- Bachelor's degree/ Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science.
- Strong analytical and problem-solving skills with the ability to think strategically and act tactically.
- Proficiency in Python with hands-on experience using libraries such as Scikit-learn, PyTorch, TensorFlow, and Hugging Face Transformers.
- Statistical knowledge - Proven experience in statistical methods like and not limited to Markov Models, Stochastic models, Bayesian Models, Classification Models, Cluster Analysis, Multivariate Stats, Regression Models, Ensemble Techniques
- Exposure to Generative AI, Large Language Models (LLM), Retrieval Augmented Generation (RAG), agentic frameworks (LangChain, PydanticAI, Swarm), Tool use and Model Context Protocol (MCP), and AI/ML techniques
- Experience building and fine-tuning GenAI models using frameworks like LangChain, LlamaIndex, or integrating APIs from OpenAI, Azure OpenAI, or other foundation model providers
- Solid understanding of NLP, deep learning, and data modeling techniques.
- Excellent communication and stakeholder engagement skills.
- Exposure to cloud platforms such as Microsoft Data Lake, Azure, and GCP.
- Experience with both structured and unstructured data, including transactional data.
- Demonstrated experience applying both traditional ML and GenAI in real-world business use cases.
- Experience working with large language models (LLMs) and/or vector databases is a strong advantage.
- Experience working with new Gen AI APIs like Langchain, Langgraph, MCP etc for orchestration
- Experience with Data Ops/ MLOps
- Certifications in AI/ML (e.g., Azure AI Engineer Associate, AWS Machine Learning Specialty)
- Familiarity with cloud platforms (Azure, AWS, GCP) and containerized deployments (Docker, Kubernetes).
- Experience with responsible AI practices, explainability, and AI ethics.
- Previous consulting or client-facing experience, ideally in cross-industry engagements.
- Experience in engaging with both technical and non-technical stakeholders
- Strong consulting experience and background, including engaging directly with clients
