AI Data Scientist Manager

PwC

AI Data Scientist Manager leading transformation of raw data into actionable insights at PwC. Driving innovation and coaching teams in advanced analytics and data science methodologies.

Posted 7/8/2026full-timeFlorida, Massachusetts, New York • 🇺🇸 United StatesMid-LevelSenior💰 $99,000 - $252,450 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in leading data science initiatives, applying advanced analytics, and utilizing machine learning and deep learning techniques to derive actionable insights. Proficient in managing data pipelines, ensuring data quality, and coaching team members in data science workflows.

Highest-signal resume keywords

Machine LearningDeep LearningData Pipeline ManagementStatistical AnalysisPython Programming

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingPredictive ModelingData PreparationModel EvaluationData Science AlgorithmsExperimentation TechniquesGenerative AIData Quality ValidationComplex Data AnalysisData Engineering

Soft Skills

Team CoachingStakeholder CollaborationProject Management

Tools & Technologies

Data Science LibrariesAnalytics Frameworks

Certifications & Qualifications

Bachelor's Degree

Industry Keywords

Data ScienceAdvanced AnalyticsBusiness GrowthData-Driven Strategies

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Leading data science initiatives to transform raw data into actionable insights for informed decision-making
Guiding teams in the application of advanced analytics and statistical techniques to solve complex business problems
Developing and implementing data models and algorithms to enhance predictive capabilities
Overseeing the creation and maintenance of data pipelines and data lakes to support large-scale data processing
Utilizing machine learning and deep learning techniques to drive innovation and improve data-driven strategies
Collaborating with stakeholders to identify opportunities for leveraging data to drive business growth
Coaching team members to enhance their skills in data science workflows and troubleshooting
Validating data quality and integrity within analytics frameworks to support reliable insights
Encouraging the adoption of innovative technologies and methodologies in data science projects
Managing project timelines and deliverables to align with client expectations and business objectives

Requirements

What you’ll need

At least a Bachelor's degree
At least 4 years of experience
Applies statistical analysis, machine learning, data preparation, experimentation, and model evaluation techniques to develop and validate AI/ML solutions
Utilizing 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
Managing data pipelines and confirming data quality
Leveraging programming languages for data engineering tasks

Benefits

Comp & perks

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