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PwC · 8 hours ago

AI Engineering/Data Scientist - Summer 2027 Internship

Boston, MA

Internship

Onsite

Intern

$29.25/hr - $48/hr

Start in 2027 Summer

PwC is a leading professional services firm, and they are seeking an AI Engineering/Data Scientist Intern to contribute to data science and machine learning projects. The role involves supporting the development and implementation of models, engaging in complex data analysis, and collaborating with team members to drive data-driven solutions for clients.

AccountingBusiness DevelopmentConsultingFinanceFinancial ServicesTax Consulting

No H1B

Responsibilities

Supporting data science and machine learning projects by assisting in the development and implementation of models

Participating in the design and maintenance of data pipelines to facilitate seamless data flow and integration

Engaging in complex data analysis to extract meaningful insights and identify patterns using quantitative methods

Assisting in the application of artificial intelligence and natural language processing techniques to enhance data-driven solutions

Collaborating with team members to apply programming languages in the development of machine learning algorithms

Contributing to the creation of predictive models to forecast outcomes and inform decision-making processes

Assisting in the evaluation and improvement of data quality to validate reliability and accuracy in analytics

Observing and learning from experienced professionals to gain exposure to data engineering and analytics practices

Supporting project management activities by coordinating tasks and tracking progress to meet project goals

Qualification

Machine LearningData AnalysisPythonNatural Language ProcessingPredictive ModelingData QualityLearning MindsetTeam CollaborationCommunication Skills

Required

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

Preferred

Preference for at least 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

Leveraging AI to create efficiencies, innovate ways of working and deliver distinctive outcomes

Demonstrating proficiency in programming languages such as Python or R

Applying machine learning techniques to solve complex data problems

Utilizing natural language processing for data-driven insights

Engaging in predictive modeling to forecast trends and outcomes

Supporting data engineering projects with a focus on data quality and integrity