Data Scientist, Associate

Job Description & Summary

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 artificial intelligence engineering at PwC will apply data, algorithms, and software engineering to build and deploy software and platform systems that create Artificial Intelligence and Machine Learning based solutions r work will involve designing AI systems, data wrangling, and software implementation to enable the AI models to be useful and scalable.

As a Data Scientist, Associate, you’ll work as part of a team of problem solvers, helping to solve business issues, deliver high quality client service and operational efficiency. Responsibilities include but are not limited to:

• Develop and deploy machine learning models (predictive modeling, forecasting, segmentation, propensity scoring, etc.) to address complex business challenges that meet key performance metrics and requirements.
• Build and deploy simulation and optimization solutions
• Work on both theoretical and practical applications of both traditional and modern AI problems across advanced statistical, machine learning, deep learning and LLM based solutions.
• Design and build AI agents and Agentic solutions to solve critical client problems.
• Implement best practices in data science workflows and identify areas for process improvement and automation.
• Translate data-driven insights into actionable business recommendations and strategic initiatives, facilitating seamless integration into business operations through collaboration with cross-functional teams.
• Integrate machine learning solutions into production systems using MLOps frameworks, focusing on process improvement and automation.
• Help clients develop their data and AI strategy program and subsequent initiatives to leverage data and analytics to meet their organizational goals.
• Define and measure AI and analytics capabilities that span enterprise AI and data strategy, as well as lifecycle from data, technology, process, governance and talent to organizational structure and data-culture.

Advisory

Not Applicable

Technology Strategy

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 artificial intelligence engineering at PwC will apply data, algorithms, and software engineering to build and deploy software and platform systems that create Artificial Intelligence and Machine Learning based solutions r work will involve designing AI systems, data wrangling, and software implementation to enable the AI models to be useful and scalable.

As a Data Scientist, Associate, you’ll work as part of a team of problem solvers, helping to solve business issues, deliver high quality client service and operational efficiency. Responsibilities include but are not limited to:

• Develop and deploy machine learning models (predictive modeling, forecasting, segmentation, propensity scoring, etc.) to address complex business challenges that meet key performance metrics and requirements.
• Build and deploy simulation and optimization solutions
• Work on both theoretical and practical applications of both traditional and modern AI problems across advanced statistical, machine learning, deep learning and LLM based solutions.
• Design and build AI agents and Agentic solutions to solve critical client problems.
• Implement best practices in data science workflows and identify areas for process improvement and automation.
• Translate data-driven insights into actionable business recommendations and strategic initiatives, facilitating seamless integration into business operations through…