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PwC

CTIO, AI Engineer

PwC

CTIO AI Engineer at PwC leveraging analytics for data-driven decision making and business growth. Creating data visualizations and engaging in predictive modeling.

Posted 6/24/2026full-timeNew York City • Illinois, New York, North Carolina, Ohio • 🇺🇸 United StatesJuniorMid-Level💰 $50,500 - $140,000 per yearWebsite

Tech Stack

Tools & technologies
Cyber SecurityScikit-LearnTensorflow

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
  • Applying data science algorithms and machine learning techniques to solve complex business problems
  • Building data pipelines and confirming data quality for informed decision-making
  • Conducting exploratory and descriptive analysis to inform strategic decisions
  • Developing predictive models using programming languages such as R and MATLAB
  • Utilizing TensorFlow and Scikit-Learn for deep learning and natural language processing tasks
  • Collaborating with team members to adapt to varying client challenges and scopes
  • Taking ownership of projects and consistently delivering quality work that drives client value
  • Engaging in active listening and communication to appreciate diverse perspectives and needs
  • Upholding professional and technical standards while adhering to the Firm's code of conduct

Requirements

What you’ll need
  • At least a Bachelor's degree
  • At least 1 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
  • Demonstrating proficiency in data science algorithms and workflows
  • Utilizing machine learning and deep learning techniques effectively
  • Excelling in complex data analysis and predictive modeling
  • Applying programming skills in MATLAB and R for data solutions
  • Engaging in data-driven decision making and statistical analysis
  • Leveraging experience with TensorFlow and Scikit-Learn libraries

Benefits

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
data analysispredictive modelingdata science algorithmsmachine learningdeep learningstatistical analysisdata pipelinesdata qualityprogramming in Rprogramming in MATLAB
Soft Skills
active listeningcommunicationcollaborationownershipadaptability
Certifications
Bachelor's degree