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

Specialty/

Competency:

Risk Architecture

Industry/Sector: Not Applicable

Time Type: Full time

Travel Requirements: Up to 60%

As a Risk Architecture— Agentic AI and Machine Learning Developer— Experienced 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 Consulting practice, you will apply data, algorithms, and software engineering to build and deploy AI and Machine Learning solutions r work will involve designing AI systems, data wrangling, and software implementation to enable the AI models to be useful and scalable.

As an Associate, you will focus on learning and contributing to client engagement and projects while developing your skills and knowledge to deliver quality work. You will be exposed to clients to learn how to build meaningful client connections, manage and inspire others, and grow your personal brand by deepening your technical knowledge of firm services and technology resources. You will be expected to anticipate the needs of your teams and clients, embrace ambiguity, ask questions, and use these challenges as opportunities for growth.

In this role, you will take ownership and consistently deliver quality work that drives value for our clients and success as a team. You will build a brand for yourself, opening doors to more opportunities.

• Designing and implementing AI and machine learning solutions to transform raw data into actionable insights
• Developing and deploying scalable AI models using programming languages such as Python and Java
• Collaborating with team members to integrate AI systems into existing data infrastructure
• Conducting complex data analysis to identify patterns and inform decision‑making processes
• Utilizing machine learning libraries like Tensor Flow and Scikit‑Learn to enhance model performance
• Building and maintaining data pipelines to support AI and machine learning initiatives
• Engaging in data wrangling and data quality assessments to improve data reliability
• Applying natural language processing techniques to develop advanced text analytics solutions
• Participating in client support activities to address AI‑related challenges and opportunities
• Continuously learning and adapting to new AI technologies and methodologies to drive innovation

• At least a Bachelor's degree

• Preference for at least one of the following fields of study:
  Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics, Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics, Data Processing/Analytics/Science, Artificial Intelligence and Robotics
• 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 Python and Java programming languages
• Utilizing machine learning libraries such as Tensor Flow and Scikit‑Learn
• Engaging in complex data analysis and pattern recognition
• Applying AI implementation skills in client‑facing environments
• Developing neural network models for advanced AI solutions

The salary range for this position is: $61,000 - $100,000. 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, 401(k), holiday pay, vacation, personal and family sick leave, and more.

To view our benefits at a glance, please visit the following link: (Use the "Apply for this Job" box below).-glance

As PwC is anequal 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;…