AIT - AI Data Scientist Senior Associate

PricewaterhouseCoopers•Tampa, FL

2d•Remote

About The Position

As an AI Data Scientist Senior 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 Data Science practice, you will focus on building meaningful client connections and learning how to manage and inspire others. Navigating increasingly complex situations, you will grow your personal brand and deepen your technical skills. You are expected to anticipate the needs of your teams and clients, delivering quality solutions even when the path forward isn't clear. In this role at PwC, you will work on exploratory and descriptive analysis, statistical modeling, and creating data visualizations to solve complex business problems and inform strategic decisions. You will use a broad range of tools and methodologies to generate new ideas and solve problems, while interpreting data to inform insights and recommendations. Upholding professional and technical standards, you will develop a deeper understanding of the business context and how it is evolving, using reflection to enhance strengths and address development areas.

Requirements

At least a Bachelor's degree
At least 2 years of experience

Nice To Haves

Preference for at least one of the following fields of study: Artificial Intelligence and Robotics, Business Analytics, Computer and Information Science, Computer Engineering, Computer Programming, Data Processing/Analytics/Science, Engineering, Information Technology, Machine Learning, Management Information Systems, Mathematics, Statistics, Systems Engineering
Demonstrating proficiency in data science algorithms and workflows
Utilizing advanced machine learning techniques for predictive modeling
Excelling in complex data analysis and data-driven decision making
Developing innovative solutions using deep learning and neural networks
Managing data pipelines and confirming data quality
Interpreting data to provide actionable insights and recommendations

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
Conducting exploratory and descriptive analysis to inform strategic decision-making
Creating data visualizations to solve complex business problems
Utilizing data science algorithms and machine learning techniques to drive data-driven decision making
Developing and managing data pipelines to support data quality and integrity
Applying predictive modeling to anticipate client needs and inform recommendations
Collaborating with teams to enhance data science workflows and troubleshoot issues
Building meaningful client connections and managing stakeholder expectations
Navigating complex situations to deliver quality work and grow personal skills
Upholding professional and technical standards in all client engagements