AI Engineer / Data Scientist, AI Manager

PRICE WATERHOUSE COOPERS

Dallas (TX)

On-site

USD 99,000 - 297,000

Full time

14 days+

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Benefits offered by this job

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

Job summary

PRICE WATERHOUSE COOPERS in Dallas is seeking an AI Engineer / Data Scientist to lead the development of advanced AI and ML solutions, turning 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.

Responsibilities include designing and deploying AI/ML systems, transforming data into insights, coaching teams, and ensuring

Qualifications

  • Bachelor's degree is required.
  • Minimum 4 years of relevant experience.
  • Onsite in Dallas, TX.
  • Strong AI/ML and data analytics capabilities.

Responsibilities

  • Lead development and deployment of advanced AI/ML solutions.
  • Design and optimize algorithms and models for intelligent automation.
  • Transform data into actionable insights for business decisions.
  • Supervise and coach teams to deliver high-quality work.
  • Own projects end-to-end from planning to delivery.
  • Collaborate with leadership to ensure quality and timelines.
  • Mentor team members to deepen technical skills.
  • Address client issues through direct communication.

Skills

AI expertise
ML proficiency
Data science
Client engagement

Education

Bachelor's degree

Tools

AWS
Google Cloud
Azure
Databricks
Snowflake

Job description

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
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