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PwC's data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making.

Requirements

• Demonstrating proficiency in machine learning and data science algorithms
• Utilizing programming languages such as C++ and R for data analysis
• Excelling in complex data analysis and predictive modeling techniques
• Applying artificial intelligence and natural language processing in projects
• Managing data-driven decision-making processes effectively
• Engaging in project management to support client-focused initiatives
• Leveraging AI to create efficiencies, innovate ways of working and deliver distinctive outcomes

Responsibilities

• Engaging in data science and machine learning projects to support client needs
• Applying data modeling techniques to organize and structure data efficiently
• Utilizing programming languages such as C++ and R for developing data-driven solutions
• Conducting complex data analysis to extract meaningful insights and inform decision-making
• Implementing machine learning algorithms using libraries to enhance predictive modeling capabilities
• Collaborating with team members to design and maintain data pipelines for seamless data flow
• Leveraging artificial intelligence and natural language processing to develop innovative solutions

Other

• Currently pursuing or have completed a Bachelor's degree
• Client service associate positions are entry-level roles intended for job seekers who are completing or have recently completed their final academic year of educational requirements
• 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, Information Technology, Machine Learning, Management Information Systems, Mathematics, Statistics, Systems Engineering
• Preference for a 3.3 overall GPA
• Up to 20% travel