AIT - AI Data Scientist Senior Associate

PricewaterhouseCoopers•Tampa, FL

19h•Onsite

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, enabling informed decision-making and driving business growth. Within our Assurance practice, you will focus on building meaningful client connections, navigating complex situations, and growing your personal brand. You will be expected to anticipate the needs of your teams and clients, delivering quality solutions while embracing ambiguity and using these moments as opportunities to grow. 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 maintaining professional and technical standards. This position offers a chance to deepen your understanding of the business context and how it is evolving, as well as to develop self-awareness and address development areas. You will interpret data to inform insights and recommendations, contributing to the firm's overall business strategies.

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: 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
Applies statistical analysis, machine learning, data preparation, experimentation, and model evaluation techniques to develop and validate AI/ML solutions
Utilizes 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
Leveraging experience with data engineering and data pipelines
Applying knowledge of natural language processing and neural networks
Navigating ambiguity while building meaningful client relationships

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
Utilizing machine learning algorithms and predictive modeling to solve complex business problems
Creating data visualizations to effectively communicate insights and drive data-driven decisions
Collaborating with clients to understand their data needs and deliver tailored solutions
Managing data pipelines and confirming data quality and integrity throughout the analysis process
Applying data science workflows and troubleshooting techniques to optimize performance
Engaging in continuous learning to deepen technical skills and adapt to emerging technologies
Mentoring junior team members and fostering a collaborative team environment