PwC aims to leverage advanced technologies and techniques to design and develop robust data solutions for clients, transforming raw data into actionable insights to drive business growth and informed decision-making.
Requirements
Demonstrating proficiency in C++ and R programming languages
Applying knowledge of machine learning and data modeling techniques
Utilizing Scikit-Learn for machine learning projects
Engaging in complex data analysis and predictive modeling
Supporting data-driven decision-making processes
Participating in natural language processing initiatives
Leveraging AI to create efficiencies, innovate ways of working and deliver distinctive outcomes
Responsibilities
Supporting teams in the development and implementation of AI and machine learning models
Assisting in the analysis and interpretation of complex data sets to derive actionable insights
Participating in the design and maintenance of data pipelines and data engineering processes
Engaging in data modeling and predictive modeling to enhance decision-making processes
Collaborating with team members to apply data science algorithms and methodologies
Utilizing programming languages such as C++, R, and MATLAB for data analysis and model development
Contributing to the development of natural language processing solutions and applications
Other
Currently pursuing or have completed a Bachelor's degree
Client service intern positions are entry-level roles intended for job seekers who are in their third year of a four-year degree program or fourth year of a five-year program at the time of application.
Preference for one of the following field(s) of study: Artificial Intelligence and Robotics, Business Analytics, Computer and Information Science, Computer Engineering, Computer Programming, Data Processing/Analytics/Science, Engineering, Mathematics, Statistics, Systems Engineering
