CTIO - AI Engineer - Experienced Associate

PwC•Cincinnati, OH

9d•$50,500 - $140,000•Onsite

About The Position

As a CTIO - AI Engineer - Experienced Associate, you will leverage advanced analytics and statistical techniques to transform raw data into actionable insights, driving data-driven decision-making and business growth. Within our Internal Firm Services practice, you will focus on learning and contributing to client engagements and projects, developing your skills and knowledge to deliver quality work. You will be exposed to clients, learning how to build meaningful connections, manage and inspire others, and grow your personal brand by deepening your technical knowledge of firm services and technology resources. In this role at PwC, you will engage in exploratory and descriptive analysis, statistical modeling, and creating data visualizations to solve complex business problems and inform strategic decisions. You are expected to adapt to working with a variety of clients and team members, each presenting unique challenges and scope. Every experience is an opportunity to learn and grow, taking ownership and consistently delivering work that drives value for our clients and success as a team. As you navigate through the firm, you build a brand for yourself, opening doors to more opportunities.

Requirements

At least a Bachelor's degree
At least 1 years of experience

Nice To Haves

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

Responsibilities

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