AI Engineering/Data Scientist Intern

Job Description

Here is the detailed, enriched job description for the AI Engineering/Data Scientist Intern position at PwC:

Job Title: AI Engineering/Data Scientist Intern

Specialty/Competency: Data Science / AI Engineering

Time Type: Full-time

Travel Requirements: Up to 80%

About PwC’s Data & Analytics Engineering Team:

At PwC, our professionals in data and analytics engineering are dedicated to leveraging advanced technologies and techniques to design and develop robust data solutions for clients. We play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those specifically in data science and machine learning engineering focus on harnessing advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. This involves developing predictive models, conducting statistical analysis, and creating compelling data visualizations to solve complex business problems.

Our Culture & Your Growth:

We are a team driven by curiosity, where every member is encouraged to be a reliable and contributing part of our collective success. In our fast-paced environment, you will have the chance to work on a diverse range of assignments, each presenting unique challenges and scope. Every experience is viewed as an opportunity to learn and grow. We strongly encourage you to ask questions, take initiative, and produce quality work that adds significant value for our clients and contributes to our team’s achievements. During your time at the Firm, you will begin to establish your personal brand, paving the way for future opportunities. We foster a learning mindset, appreciate diverse perspectives, and help you adopt habits that sustain high performance and develop your full potential. You will be expected to actively listen, ask questions to check understanding, clearly express ideas, and seek, reflect on, act on, and give feedback. Furthermore, you will gather information from various sources to analyze facts and discern patterns, committing to understanding how the business works and building commercial awareness. You’ll also learn and apply professional and technical standards, upholding the Firm’s code of conduct and independence requirements.

The Opportunity as an 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. This role offers the chance to 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 have the opportunity to work on a variety of assignments, each presenting unique challenges and scope, and will be encouraged to ask questions, take initiative, and produce quality work that adds value.

Key Responsibilities:

As an AI Engineering/Data Scientist Intern, your responsibilities will include, but are not limited to:

• 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.

What You Must Have:

• 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.
• 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):

• 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.
• Experience leveraging AI to create efficiencies, innovate ways of working and deliver distinctive outcomes.
• Demonstrated proficiency in programming languages such as Python or R.
• Ability to apply machine learning techniques to solve complex data problems.
• Experience utilizing natural language processing for data-driven insights.
• Engagement in predictive modeling to forecast trends and outcomes.
• Support of data engineering projects with a focus on data quality and integrity.

Compensation:

The salary range for this position is $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.

Important Information:

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.

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