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Senior AI Data Scientist
PwCAI 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 & technologiesCyber 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
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
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