AI & GenAI Data Scientist - Manager

PwC•Tampa, FL

9d•$99,000 - $232,000

About The Position

As an AI & GenAI Data Scientist - Manager in PwC’s Technology Consulting practice, you will transform raw data into actionable insights and develop robust data solutions for clients. You will apply data, algorithms, and software engineering to build and deploy AI and machine learning software and platform systems at scale. The work includes designing AI systems, wrangling data, and implementing software to make AI models useful and scalable. You will also identify opportunities to improve delivery through technology and innovation. As a Manager, you will motivate, develop, and inspire others to deliver quality. You will coach team members, make use of their strengths, and manage performance to meet client expectations. You are expected to lead with integrity and authenticity and communicate the firm’s purpose and values. The role’s salary range is $99,000–$232,000, with actual compensation dependent on skills, experience, qualifications, location, and applicable employment laws. Hired individuals are eligible for an annual discretionary bonus. PwC offers benefits including medical, dental, vision, 401(k), holiday pay, vacation, and personal and family sick leave. Travel requirements are up to 80%.

Requirements

At least a bachelor’s degree.
At least 6 years of experience.
Demonstrated proficiency in AI implementation and machine learning libraries.
Ability to use complex data analysis and data modeling techniques.
Ability to coach and mentor team members.

Nice To Haves

Preference for study in one or more of the following fields: Management Information Systems; Computer and Information Science; Systems Engineering; Mathematics; Engineering; Electrical Engineering; Chemical Engineering; Industrial Engineering; Statistics; Mathematical Statistics; Data Processing, Analytics, or Science; Artificial Intelligence and Robotics.
At least one certification aligned to data engineering, machine learning, or cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials.
Skills in neural networks and natural language processing.
Experience embracing change and innovation in technology consulting.

Responsibilities

Design and implement AI systems to transform raw data into actionable insights.
Lead teams developing scalable machine learning models and solutions.
Manage complex data analysis and integration to support AI-driven initiatives.
Use programming languages such as Python and Java to enhance AI model deployment.
Oversee the creation and maintenance of data pipelines and infrastructure.
Apply deep learning techniques and neural networks to improve predictive analytics.
Collaborate with stakeholders to address data challenges and optimize AI applications.
Mentor team members in AI implementation and data engineering.
Validate data quality and compliance within AI frameworks.
Encourage innovation and embrace change to drive business growth through AI solutions.
Coach, develop, motivate, and inspire team members; leverage their strengths and manage performance to meet client expectations.