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PwC

Senior AI Data Scientist

PwC

AI Data Scientist Senior Associate leveraging advanced analytics and statistical techniques at PwC. Transforming raw data into actionable insights and driving business growth.

Posted 7/8/2026full-timeTampa • Florida, Massachusetts, New York • 🇺🇸 United StatesSenior💰 $72,000 - $184,440 per yearWebsite

Tech Stack

Tools & technologies
Cyber SecurityPython

About the role

Key responsibilities & impact
  • Leveraging advanced analytics and statistical techniques to extract insights from large datasets
  • Designing and developing robust data solutions to transform raw data into actionable insights
  • Conducting exploratory and descriptive analysis to inform strategic decision-making
  • Utilizing machine learning algorithms and predictive modeling to solve complex business problems
  • Creating data visualizations to effectively communicate insights and drive data-driven decisions
  • Collaborating with clients to understand their data needs and deliver tailored solutions
  • Managing data pipelines and confirming data quality and integrity throughout the analysis process
  • Applying data science workflows and troubleshooting techniques to optimize performance
  • Engaging in continuous learning to deepen technical skills and adapt to emerging technologies
  • Mentoring junior team members and fostering a collaborative team environment

Requirements

What you’ll need
  • At least a Bachelor's degree
  • At least 2 years of experience
  • Preference for at least one of the following fields of study: Accounting, Analytics/Data Science, Artificial Intelligence/Robotics, Business Administration/Management, Computer Science/Information Systems, Cybersecurity, Engineering, Mathematics/Statistics, Operations/Supply Chain, Project/Technology Management, Risk Management/Insurance
  • Applies statistical analysis, machine learning, data preparation, experimentation, and model evaluation techniques to develop and validate AI/ML solutions
  • Utilizes Python, data science libraries, model validation methods, and modern AI/ML approaches, including generative AI where relevant, to communicate actionable insights to business and technical stakeholders
  • Demonstrating proficiency in data science algorithms and workflows
  • Utilizing machine learning and deep learning techniques effectively
  • Excelling in complex data analysis and predictive modeling
  • Leveraging experience with data engineering and data pipelines
  • Applying knowledge of natural language processing and neural networks
  • Navigating ambiguity while building meaningful client relationships

Benefits

Comp & perks
  • medical
  • dental
  • vision
  • 401k
  • holiday pay
  • vacation
  • personal and family sick leave

ATS Keywords

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Hard Skills & Tools
Data PreparationPredictive ModelingDeep Learning TechniquesNatural Language ProcessingModel ValidationData Science WorkflowsExploratory AnalysisDescriptive AnalysisGenerative AIData Quality Management
Soft Skills
CollaborationMentoringClient Relationship ManagementProblem SolvingAdaptability
Certifications
Bachelor's Degree