Acceleration Center- Agentic AI and Machine Learning Developer- Senior Associate

As an Acceleration Center- Agentic AI and Machine Learning Developer- Senior Associate, you will play a pivotal role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Risk & Regulatory practice, you will apply data, algorithms, and software engineering to build and deploy AI and Machine Learning solutions at scale.

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, and to deliver quality work.

In this role at PwC, you will design AI systems, engage in data wrangling, and implement software to enable scalable AI models. You will use a broad range of tools and methodologies to generate new ideas and solve problems, while developing a deeper understanding of the business context and how it is evolving. Your work will contribute to the broader objectives of your projects, fitting into the overall strategy and reinforcing professional and technical standards.

Responsibilities - Designing and implementing AI and machine learning solutions to transform raw data into actionable insights - Developing scalable software and platform systems using advanced algorithms and data engineering techniques - Collaborating with clients to understand their needs and deliver tailored data solutions - Utilizing programming languages such as Python and Java to build and deploy AI models - Integrating data from various sources to enhance data quality and infrastructure - Applying machine learning libraries like TensorFlow and Scikit-Learn to optimize model performance - Conducting complex data analysis to support informed decision-making and business growth - Building and maintaining data pipelines to streamline data processing and analysis - Leveraging natural language processing tools to develop innovative text analytics solutions - Mentoring junior team members and guiding them in technical and professional development

What You Must Have - At least a Bachelor's degree - At least 2 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 libraries - Utilizing Python and Java for complex data analysis and modeling - Excelling in data integration and data pipeline development - Applying natural language processing techniques for text analytics - Leveraging TensorFlow and Scikit-Learn for deep learning projects