AI Engineer / Data Scientist, AI Manager

The Opportunity

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.

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

What You Must Have

At least a Bachelor's degree

At least 4 years of experience

What Sets You Apart

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

The salary range for this position is: $99,000 - $252,450. For residents of Washington state the salary range for this position is: $99,000 - $297,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.

Learn more about how we work: https://pwc.to/how-we-work