AI Engineering Intern at PwC focused on data science and machine learning model development. Supporting client-facing projects and gaining exposure to innovative AI solutions.
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
Assisting in the integration of big data technologies to improve data processing capabilities
Learning and applying project management techniques to support project goals and timelines
Observing and participating in client support activities to gain exposure to industry practices
Requirements
Currently pursuing or have completed a Bachelor's degree
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
Preference for a 3.3 overall GPA
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
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