AI Engineer / Data Scientist, AI Manager

PwC's Data and Analytics Engineering practice in Dallas is seeking an AI Engineer / Data Scientist, AI Manager to lead the development of advanced AI and ML solutions and turn raw data into actionable insights. This role blends hands-on technical leadership with client account management, ownership of projects from strategy through delivery, and mentoring to elevate team capabilities and client value. Overview Location: Dallas, TX (onsite) Salary: USD 99,000 - 297,000 per year Minimum experience: 4 years Education: Bachelor\'s degree Responsibilities Lead the development and deployment of advanced AI and machine learning solutions to drive innovation and improve business processes Design and optimize algorithms, models, and systems to enable intelligent decision making and automation Transform raw data into actionable insights to support informed decision making and business growth Supervise and coach teams to deliver high-quality work and meet client expectations Analyze interdependencies and interactions within complex systems to improve efficiency and effectiveness Own projects end to end, including planning, budgeting, execution, and delivery Collaborate with team leadership to maintain shared ownership of quality, timelines, and deliverables Encourage skill development beyond comfort zones and mentor team members to deepen their skills Address conflicts or issues through direct conversations with clients, team members, and stakeholders Uphold professional and technical standards, including PwC code of conduct and independence requirements Requirements At least a Bachelor\'s degree At least 4 years of experience Technologies AWS Google Cloud Microsoft Azure Databricks Snowflake Benefits Medical Dental Vision 401k Holiday pay Vacation Personal and family sick leave Annual discretionary bonus What Sets You Apart Formal study in analytics/data science, artificial intelligence/robotics, computer science/information systems, or engineering Certifications related to data engineering, machine learning, and cloud platforms (AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related credentials) Proven proficiency in AI implementation and machine learning Experience excelling in client support and engagement Strong capabilities in data and analytics engineering Track record of leveraging technology and innovation in project execution Ability to motivate and inspire teams to deliver quality results #J-18808-Ljbffr PRICE WATERHOUSE COOPERS