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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

data analysispredictive modelingdata science algorithmsmachine learningdeep learningstatistical analysisdata pipelinesdata qualityprogramming in Rprogramming in MATLAB

Soft Skills

active listeningcommunicationcollaborationownershipadaptability

Tools & Technologies

TensorFlowScikit-Learn

Certifications & Qualifications

Bachelor's degree

Industry Keywords

analyticsdata scienceartificial intelligencebusiness administrationcomputer sciencecybersecurityengineeringmathematicsoperationsrisk management

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