Senior Associate, AI & GenAI Data Scientist

PwC

AI & GenAI Data Scientist at PwC transforming raw data into insights and driving business growth through advanced AI solutions. Collaborating with clients to deliver tailored AI and Machine Learning solutions.

Posted 6/7/2026full-timeIllinois, New York, North Carolina, Ohio • 🇺🇸 United StatesSenior💰 $77,000 - $202,000 per yearWebsite

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI systems designmachine learning solutionsdata modelingdata pipeline managementdata quality assurancecomplex data analysisneural network designreinforcement learningnatural language processingtext analytics

Soft Skills

collaborationmentoringcommunication

Tools & Technologies

PythonC++TensorFlowScikit-LearnAWSGoogle CloudMicrosoft AzureDatabricksSnowflake

Industry Keywords

data engineeringdata analyticsartificial intelligencedata sciencemanagement information systemscomputer sciencesystems engineeringmathematicsengineering

Tech Stack

Tools & technologies

AWSAzureCloudPythonScikit-LearnTensorflow

About the role

Key responsibilities & impact

Designing and implementing AI systems to transform raw data into actionable insights
Developing and deploying scalable AI and Machine Learning solutions using advanced technologies
Collaborating with clients to understand their data needs and deliver tailored solutions
Utilizing programming languages such as Python and C++ to build robust data models
Managing data pipelines and confirming data quality and integration across platforms
Applying machine learning libraries like TensorFlow and Scikit-Learn to enhance model performance
Conducting complex data analysis to inform strategic decision-making
Leveraging natural language processing and text analytics for innovative AI applications
Building and maintaining data infrastructure to support AI-driven automation
Mentoring junior team members and fostering a collaborative work environment

Requirements

What you’ll need

At least a Bachelor's degree
At least 2 years of experience
Preference for fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics, Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Data Processing/Analytics/Science, Artificial Intelligence and Robotics
Certifications aligned to data engineering, machine learning, and cloud platforms (AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake)
Proficiency in AI implementation and machine learning libraries
Utilizing Python for complex data analysis and modeling
Excelling in neural network design and reinforcement learning agents
Applying natural language processing techniques for text analytics
Leveraging TensorFlow and Scikit-Learn for deep learning projects

Benefits

Comp & perks

medical
dental
vision
401k
holiday pay
vacation
personal and family sick leave
annual discretionary bonus