AI Engineering/Data Scientist Intern

Specialty/Competency: Data Science

Time Type: Full time

Travel Requirements: Up to 80%

About PwC & the Data Science Team

At PwC, our Data and Analytics Engineering teams are dedicated to leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They are instrumental in transforming raw data into actionable insights, facilitating informed decision-making and driving business growth.

Those in Data Science and Machine Learning Engineering focus on advanced analytics and machine learning to extract insights from large datasets. You will be involved in developing predictive models, conducting statistical analysis, and creating data visualizations to solve complex business problems.

Our Culture & Your Growth

Driven by curiosity, we seek reliable, contributing team members. In our fast-paced environment, you will work on a variety of assignments, each presenting unique challenges and scope. Every experience is an opportunity to learn and grow. We encourage you to ask questions, take initiative, and produce quality work that adds value for our clients and contributes to our team’s success. This role is an excellent chance to establish your personal brand and pave the way for future opportunities within the Firm.

Key Skills & Qualities

Examples of the skills, knowledge, and experiences needed to lead and deliver value at this level include, but are not limited to:

• Learning Mindset & Ownership: Apply a learning mindset and take ownership for your own development.
• Appreciation for Diversity: Appreciate diverse perspectives, needs, and feelings of others.
• High Performance & Development: Adopt habits to sustain high performance and develop your potential.
• Effective Communication: Actively listen, ask questions to check understanding, and clearly express ideas.
• Feedback Loop: Seek, reflect, act on, and give feedback.
• Analytical Thinking: Gather information from a range of sources to analyze facts and discern patterns.
• Commercial Awareness: Commit to understanding how the business works and building commercial awareness.
• Professional Standards & Ethics: Learn and apply professional and technical standards (e.g., specific PwC tax and audit guidance), upholding the Firm’s code of conduct and independence requirements.

The Opportunity: AI Engineering/Data Scientist Intern

As an AI Engineering/Data Scientist Intern, you will immerse yourself in the dynamic world of data science and machine learning engineering. You will engage with cutting-edge technologies and methodologies, contributing to projects that harness the power of data to drive impactful solutions for clients. As an Intern, you will support teams by participating in projects, observing professional work environments, and conducting research to contribute to the team’s success.

This role emphasizes learning and gaining exposure to PwC’s practices, allowing you to develop your personal brand and build commercial awareness. You will be encouraged to ask questions, take initiative, and produce quality work that adds value, applying a learning mindset, appreciating diverse perspectives, and adopting habits to sustain performance. This opportunity is designed to help you grow and develop your potential, paving the way for future opportunities within the firm.

Responsibilities

• Project Support: Assisting in the development and implementation of models for data science and machine learning projects.
• Data Pipelines: Participating in the design and maintenance of data pipelines to ensure seamless data flow and integration.
• Data Analysis: Engaging in complex data analysis to extract meaningful insights and identify patterns using quantitative methods.
• AI & NLP Application: Assisting in the application of Artificial Intelligence and Natural Language Processing techniques to enhance data-driven solutions.
• Algorithm Development: Collaborating with team members to apply programming languages in the development of machine learning algorithms.
• Predictive Modeling: Contributing to the creation of predictive models to forecast outcomes and inform decision-making processes.
• Data Quality: Assisting in the evaluation and improvement of data quality to validate reliability and accuracy in analytics.
• Learning & Mentorship: Observing and learning from experienced professionals to gain exposure to data engineering and analytics practices.
• Project Management Support: Supporting project management activities by coordinating tasks and tracking progress to meet project goals.

What You Must Have (Basic Qualifications)

• Education: Currently pursuing or have completed a Bachelor’s degree.
• Eligibility: 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.
  • Winter internships typically occur during the spring semester preceding the student’s final year of school.
  • Summer internships typically take place during the summer preceding the student’s final year of school.

What Sets You Apart (Preferred Qualifications)

• Fields of Study: 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.
• Academic Achievement: Preference for a 3.3 overall GPA.
• AI Application: Experience leveraging AI to create efficiencies, innovate ways of working, and deliver distinctive outcomes.
• Programming Proficiency: Demonstrating proficiency in programming languages such as Python or R.
• Machine Learning Expertise: Applying machine learning techniques to solve complex data problems.
• Natural Language Processing (NLP): Utilizing natural language processing for data-driven insights.
• Predictive Modeling Experience: Engaging in predictive modeling to forecast trends and outcomes.
• Data Engineering & Quality: Supporting data engineering projects with a focus on data quality and integrity.

Learn more about how we work: https://pwc.to/how-we-work

PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.

As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.

For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

Salary Range: $29.25 – $48.00 per hour. Actual compensation within the range will be dependent upon the individual’s skills, experience, qualifications and location, and applicable employment laws.