AI Engineer / Data Scientist, AI Manager

PwC invites an AI Engineer / Data Scientist, AI Manager to lead the development of advanced AI and ML solutions and transform raw data into actionable insights. This role sits within the Data and Analytics Engineering practice and includes project ownership, strategic planning, mentoring, and client account management to deliver client value. The position is onsite in Dallas, TX, with a salary range of USD 99,000 to 297,000 per year.

Benefits

• Medical
• Dental
• Vision
• 401k
• Holiday pay
• Vacation
• Personal and family sick leave
• Annual discretionary bonus

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 quality work and meet client expectations
• Analyze and identify linkages and interactions within complex systems to improve efficiency and effectiveness
• Take ownership of projects, including planning, budgeting, execution, and completion
• Collaborate with team leadership to maintain collective ownership of quality, timelines, and deliverables
• Encourage skill development beyond comfort zones and mentor team members to deepen their capabilities
• Address conflicts or issues by engaging in difficult conversations with clients, team members, and stakeholders
• Uphold professional and technical standards, including the firm's code of conduct and independence requirements

Requirements

• Bachelor's degree
• At least 4 years of experience

Technologies

• AWS
• Google Cloud
• Microsoft Azure
• Databricks
• Snowflake

What sets you apart

• A preferred field of study including Analytics/Data Science, Artificial Intelligence/Robotics, Computer Science/Information Systems, or Engineering
• Certifications aligned to data engineering, machine learning, and cloud platforms such as AWS, Google Cloud, Azure, Databricks, Snowflake, or related data and AI credentials
• Proven proficiency in AI implementation and machine learning
• Strong track record in managing client support and engagement
• Experience leveraging data and analytics engineering skills
• Commitment to technology-driven project execution and innovation
• Ability to motivate and inspire teams to deliver quality results