AI Engineer / Data Scientist, AI Manager

PwC•Washington, DC

1d•$99,000 - $297,000•Remote

About The Position

As part of the AI Engineering team within the Digital Assurance & Technology team, you will play a pivotal role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth within our Data and Analytics Engineering practice. You will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. As a Manager, you will lead teams and manage client accounts, focusing on strategic planning and mentoring junior staff. You are accountable for confirming project success and maintaining standards. Enhancing your leadership style, you motivate, develop, and inspire others to deliver quality. You are responsible for coaching, leveraging team members' unique strengths, and managing performance to deliver on client expectations. In this role at PwC, you will analyze and identify the linkages and interactions between the component parts of an entire system. You will take ownership of projects, confirming their successful planning, budgeting, execution, and completion. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. Embrace technology and innovation to enhance your delivery and encourage others to do the same, contributing to the success of our firm.

Requirements

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

Nice To Haves

Preference for at least one of the following fields of study: Analytics/Data Science, Artificial Intelligence/Robotics, Computer Science/Information Systems, Engineering
At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials
Demonstrating proficiency in AI implementation and machine learning
Excelling in managing client support and engagement
Leveraging skills in data and analytics engineering
Embracing technology and innovation in project execution
Motivating and inspiring teams to deliver quality results

Responsibilities

Leading the development and implementation of advanced AI and machine learning solutions to drive innovation and enhance business processes
Designing and optimizing algorithms, models, and systems to enable intelligent decision-making and automation
Transforming raw data into actionable insights to support informed decision-making and drive business growth
Supervising and coaching teams to deliver quality work and meet client expectations
Analyzing and identifying linkages and interactions within complex systems to improve efficiency and effectiveness
Taking ownership of projects, including planning, budgeting, execution, and completion
Collaborating with team leadership to maintain collective ownership of quality, timelines, and deliverables
Encouraging skill development outside comfort zones and mentoring team members to deepen their skills
Addressing conflicts or issues by engaging in difficult conversations with clients, team members, and stakeholders
Upholding professional and technical standards, including the firm's code of conduct and independence requirements