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