Senior AI & Data Scientist: Drive Insights & Automation

PwC; Florham Park (NJ); On-site; USD 72,000 - 184,000; Full time

Job summary

PwC is seeking a Senior Associate to join the AI Engineering team within the Digital Assurance & Technology group in New Jersey. You will transform data into insights, develop AI/ML solutions, and own workstreams including testing AI-enabled systems.

You will mentor juniors and collaborate across teams to deliver responsible, reliable AI deployments. You will work with Python, NLP, and speech recognition technologies, building data infrastructure and evaluation tools while upholding PwC's

Qualifications

• Bachelor's degree required.
• At least 2 years of experience.
• Strong background in analytics and AI/CS/engineering.
• Proficiency in Python for data modeling and ML.

Responsibilities

• Design and optimize AI/ML algorithms to drive innovation.
• Transform raw data into actionable insights for decision-making.
• Develop AI solutions using Python and ML libraries.
• Build data infrastructure and integration systems for complex analysis.
• Utilize data modeling to improve data quality and reliability.
• Collaborate on speech recognition and NLP tools.
• Uphold firm standards and independence requirements.
• Anticipate client needs and deliver high-quality solutions.
• Design and execute tests for AI behavior, performance, and bias.
• Evaluate controls and document findings clearly.
• Build reusable evaluation tools and datasets.

Skills

AI/ML

Python

Data modeling

NLP

Testing AI Systems

Education

Bachelor's degree

Tools

TensorFlow

PyTorch

Job description

PwC is seeking a Senior Associate to join the AI Engineering team within the Digital Assurance & Technology group in New Jersey. You will transform data into insights, develop AI/ML solutions, and own workstreams including testing AI-enabled systems.

You will mentor juniors and collaborate across teams to deliver responsible, reliable AI deployments. You will work with Python, NLP, and speech recognition technologies, building data infrastructure and evaluation tools while upholding PwC's