Advisory National CT&I - AI Engineer - Experienced Associate

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data‑driven decision making. You will work on developing predictive models, conducting statistical analysis, and creating data visualisations to solve complex business problems.

Driven by curiosity, you are a reliable, contributing member of a team. In our fast‑paced environment, you are expected to adapt to working with a variety of clients and team members, each presenting varying challenges and scope. Every experience is an opportunity to learn and grow. You are expected to take ownership and consistently deliver quality work that drives value for our clients and success as a team.

As you navigate through the Firm, you build a brand for yourself, opening doors to more opportunities.

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

• Apply a learning mindset and take ownership for your own development.
• Appreciate diverse perspectives, needs, and feelings of others.
• Adopt habits to sustain high performance and develop your potential.
• Actively listen, ask questions to check understanding, and clearly express ideas.
• Seek, reflect, act on, and give feedback.
• Gather information from a range of sources to analyse facts and discern patterns.
• Commit to understanding how the business works and building commercial awareness.
• Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firm's code of conduct and independence requirements.

As part of the Data and Analytics Engineering team you will contribute to the development and implementation of innovative AI solutions. As an Associate you will focus on learning and supporting project tasks while developing your skills to deliver quality work in a fast‑paced environment.

• Assist in the development and execution of innovative AI solutions
• Work with team members to deliver quality outputs
• Analyze data to derive insights and support decision‑making
• Adapt to a fast‑paced environment and changing project needs
• Contribute to team discussions and share ideas for enhancement
• Uphold professional standards and ethical guidelines
• Foster a culture of learning and continuous growth

• Bachelor's Degree
• 1 year of experience

• Master's Degree in Computer Engineering, Data Processing/Analytics/Science, Artificial Intelligence and Robotics, Software Engineering, Computer Science preferred
• Experience in data processing and analytics
• Proficiency in artificial intelligence and robotics
• Skills in software engineering and development
• Knowledge of computer science principles
• Deploying on cloud platforms (AWS, GCP, Azure) and leveraging services such as Sage Maker, Vertex AI, or Databricks
• Being Familiar with LLM providers (OpenAI, Anthropic, Meta, etc.)
• Building and integrating multi‑agent frameworks (e.g., Lang Graph, Lang Flow)
• Designing, training, and deploying machine learning models and Large Language Models (LLMs) into production environments
• Developing scalable, cloud‑native microservices using tools like Docker and Kubernetes

Learn more about how we work: (Use the "Apply for this Job" box below).-work

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: .

As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical…