Lead AI Engineer & Data Scientist — Advise & Build

PwC; Palo Alto (CA); On-site; USD 72,000 - 184,000; Full time

Benefits offered by this job

Annual discretionary bonus

Benefits package

Job summary

PwC is seeking a Senior Associate to join the AI Engineering team within Digital Assurance & Technology. You will design and optimize AI/ML solutions, transform data into insights, and develop Python-based AI tools to support client projects.

You will build data infrastructure, evaluate models, mentor teammates, and contribute to responsible AI deployment across delivery streams. A Bachelor's degree and 2+ years' experience are expected.

Qualifications

• Bachelor's degree required.
• At least 2 years of experience.

Responsibilities

• Designing and optimizing AI and machine learning algorithms to enhance business processes and drive innovation.
• Transforming raw data into actionable insights to support informed decision-making and business growth.
• Developing and implementing advanced AI solutions using Python.
• Building and maintaining data infrastructure and integration systems to support complex data analysis.
• Utilizing data modeling techniques to improve data quality and reliability.
• Collaborating with teams to develop and deploy speech recognition algorithms and NLP tools.
• Independently designing and executing tests for AI-system behavior, performance, robustness, bias, explainability, and failure modes.
• Evaluating technical controls and evidence and clearly document findings, limitations, and recommendations.
• Building reusable evaluation tools, automated tests, reference datasets, monitoring capabilities, and evidence workflows.

Skills

AI/ML

Python

Data analysis

Mentoring

Education

Bachelor's degree

Tools

Data pipelines

Job description

PwC is seeking a Senior Associate to join the AI Engineering team within Digital Assurance & Technology. You will design and optimize AI/ML solutions, transform data into insights, and develop Python-based AI tools to support client projects.

You will build data infrastructure, evaluate models, mentor teammates, and contribute to responsible AI deployment across delivery streams. A Bachelor's degree and 2+ years' experience are expected.