AI Engineer / Data Scientist, AI Senior Associate

PwC•Washington, DC

2d•$72,000 - $212,000•Hybrid

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 Assurance practice, you will leverage advanced technologies and techniques to design and develop robust data solutions for clients. As a Senior Associate, you will focus on building meaningful client connections and learning how to manage and inspire others. You will navigate increasingly complex situations, growing your personal brand and deepening your technical skills. You are expected to anticipate the needs of your teams and clients, delivering quality work while embracing ambiguity and using these moments as opportunities to grow. In this role, you will apply data, algorithms, and software engineering to build and deploy AI and Machine Learning solutions at scale. Your work will involve designing AI systems, data wrangling, and software implementation to enable scalable AI models. You will use a broad range of tools and methodologies to generate new ideas and solve problems, interpreting data to inform insights and recommendations. Upholding professional and technical standards, you will contribute to the firm's overall business strategies and client solutions.

Requirements

At least a Bachelor's degree
At least 2 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
Utilizing critical thinking to break down complex concepts
Navigating ambiguity while maintaining focus on client needs
Building meaningful client connections and managing relationships
Interpreting data to inform insights and recommendations

Responsibilities

Designing and implementing AI systems to transform raw data into actionable insights
Developing scalable machine learning models to support client decision-making and business growth
Collaborating with teams to build and deploy software and platform systems for AI solutions
Applying data wrangling techniques to prepare datasets for AI model training and validation
Utilizing critical thinking to break down complex concepts and generate innovative solutions
Interpreting data to inform insights and recommendations for client engagements
Upholding professional and technical standards in alignment with the firm's code of conduct
Navigating complex situations to anticipate the needs of teams and clients
Building meaningful client connections to foster long-term relationships and trust