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PwC's data and analytics engineering team focuses on leveraging advanced technologies and techniques to design and develop robust data solutions for clients, transforming raw data into actionable insights to drive business growth. The Data Science Intern will support these efforts by assisting with data modeling, machine learning, and complex data analysis.

Requirements

• Demonstrating proficiency in C++ and R programming languages
• Utilizing machine learning techniques for data-driven decision making
• Applying data modeling skills to organize and analyze complex datasets
• Engaging in predictive modeling and statistical analysis for insights
• Exploring natural language processing for innovative data solutions
• Supporting project management tasks in data science environments
• Leveraging AI to create efficiencies, innovate ways of working and deliver distinctive outcomes

Responsibilities

• Supporting data science and machine learning engineering teams in various projects
• Participating in the development and implementation of data-driven solutions
• Assisting in data modeling to organize and structure complex datasets for analysis
• Engaging in data mining and data engineering tasks to extract meaningful insights
• Applying machine learning techniques to enhance data-driven decision-making processes
• Utilizing programming languages such as C++ and R for data analysis and model development
• Conducting statistical analysis to identify patterns and trends in large datasets

Other

• Apply a learning mindset and take ownership for your own development.
• Appreciate diverse perspectives, needs, and feelings of others.
• Adopt habits to sustain high performance and develop your potential.
• Actively listen, ask questions to check understanding, and clearly express ideas.
• Seek, reflect, act on, and give feedback.