AI & GenAI Data Scientist – Senior Manager

PricewaterhouseCoopers•Tampa, NY

7d•Hybrid

About The Position

As an AI & GenAI Data Scientist – Senior Manager, you will focus on utilizing advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. Within our Data and Analytics practice, you will leverage skills in data manipulation, visualization, and statistical modeling to support clients in solving complex business problems. As a Senior Manager, you will apply sound judgment, recognizing when to take action and when to escalate. You will motivate and coach others, fostering collaboration to address intricate challenges. Your ability to develop and sustain diverse and inclusive teams contributes to the success of our firm. In this role at PwC, you will grow as a strategic advisor, leveraging your influence and professional network to deliver quality results. You will craft and convey clear, impactful messages that tell a holistic story, applying systems thinking to identify underlying problems and opportunities. Directing the team through complexity, you will demonstrate composure in ambiguous situations, validating outcomes with clients and acting on feedback. Your commitment to excellence and ability to initiate open coaching conversations at all levels will be pivotal in driving project success and maintaining operational excellence.

Requirements

At least a Bachelor's degree
At least 6 years of experience

Nice To Haves

Preference for at least one of the following fields of study: Accounting, Engineering, Data Processing/Analytics/Science, Computer and Information Science, Economics, Finance
At least one of the following: a Certification in databases (Databricks, MS SQL), visualization tools (Power BI), cloud platforms (AWS, Azure, GCP), or predictive modeling/ML (Python, SAS)
Demonstrating advanced skills in data analysis and machine learning
Utilizing strategic thinking to drive AI-driven automation solutions
Leading complex data science projects with a focus on innovation
Excelling in crafting and conveying impactful, engaging messages
Applying systems thinking to identify and solve underlying problems

Responsibilities

Leading data analysis initiatives to extract insights and drive data-driven decision-making for clients
Utilizing advanced analytics techniques and tools such as Python, Power BI, and Tableau to optimize client operations
Developing and implementing data models and predictive analytics to solve complex business problems
Managing and guiding teams in the creation and maintenance of data pipelines and data warehouses
Overseeing the integration and validation of large datasets to validate data quality and integrity
Crafting and conveying clear, impactful messages that tell a holistic story through data visualization
Applying systems thinking to identify underlying problems and opportunities within client data
Directing teams through complex and ambiguous situations, maintaining composure and focus
Initiating open and honest coaching conversations to develop high-performing, diverse teams
Validating outcomes with clients, sharing alternative perspectives, and acting on client feedback