Senior Data Science Consultant - Enterprise Complaints, Remediations & Loudspeaker

Wells Fargo

Closes in 4 days

Quick summary

Work type: On-site
Location: Chandler, AZSan Antonio, TXWest Des Moines, IAMinneapolis, MNCharlotte, NCIrving, TX
Salary: $119,000–$206,000 / yr
Posted: 4 days ago
Closes: Jun 20, 2026 (soon)
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $190k

This role $162k

$106k most similar roles pay here $238k

This role pays less than 63% of similar roles. Most pay $157,200–$223,750 — the shaded band above. At the midpoint, this role pays about $162k versus about $190k for comparable roles.

Based on 240 similar postings.

Employer

About Wells Fargo

Wells Fargo & Company is one of the largest banks in the United States, providing banking, investment, mortgage, and consumer and commercial finance products and services nationwide. Industry: Banking & Financial Services

Wells Fargo currently has 81 open roles on FindRole.

Listed pay typically runs $145,018–$224,000 across 47 roles with salary data.

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At a glance

TL;DR · Senior Data Science Consultant - Enterprise Complaints, Remediations & Loudspeaker

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Wells Fargo’s Enterprise Complaints, Remediations, and Loudspeaker Analytics (ERA) team is seeking a Senior Data Science Consultant to lead advanced analytics and AI solutions for voice-of-customer insights, risk identification, and operational decision-making. This role focuses on applied Generative AI, involving end-to-end experimentation with large volumes of unstructured customer interaction data, including prompt engineering, iterative testing, error analysis, and evaluation using LLMs. The consultant will develop GenAI evaluation frameworks, apply NLP models where necessary, and collaborate closely with product teams to align experiments with operational workflows while ensuring outputs are reliable and explainable for risk-aware environments. Required qualifications include a master’s degree in a quantitative field and 4+ years of data science experience, along with strong Python skills, SQL proficiency, and hands-on experience with Generative AI solutions.

Skills

Python LLMs NLP Machine Learning SQL SAS Teradata CI/CD Generative AI Prompt Engineering Error Analysis Confidence Scoring Uncertainty Estimation Risk Assessment

What you'll do

Lead hands-on Generative AI experimentation, including prompt engineering and iterative testing.
Conduct systematic testing of LLM outputs across large datasets to evaluate behavior in various conditions.
Perform deep error analysis on GenAI outputs to identify issues and improve system reliability.
Develop evaluation frameworks for assessing output quality and risk in decision-making environments.
Apply machine learning and NLP models to complement and enhance Generative AI solutions.

What we're looking for

4+ years of data science experience or equivalent quantitative background
Master's degree in mathematics, statistics, engineering, physics, economics, or computer science
Strong hands-on experience with Python for analytics workflows and SQL proficiency
Practical experience building and testing Generative AI solutions using LLMs
Proven ability to perform LLM evaluation and error analysis, including hallucination detection
Familiarity with Machine Learning and NLP modeling techniques to complement GenAI approaches

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