At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. 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. You will work on developing predictive models, conducting statistical analysis, and creating data visualisations to solve complex business problems.

Driven by curiosity, you are a reliable, contributing member of a team. In our fast-paced environment, you will have the chance to work on a variety of assignments, each presenting varying challenges and scope. Every experience is an opportunity to learn and grow. You are encouraged to ask questions, take initiative, and produce quality work that adds value for our clients and contributes to our team’s success. During your time at the Firm, you start to establish your personal brand, paving the way to more opportunities.

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

• 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.
• Gather information from a range of sources to analyse facts and discern patterns.
• Commit to understanding how the business works and building commercial awareness.
• Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firm's code of conduct and independence requirements.

The Opportunity

As an Advisory National - AI Engineering Intern, you will immerse yourself in the dynamic world of data science and machine learning engineering, gaining exposure to cutting-edge technologies and methodologies. This role offers a unique chance to support client-facing projects, where you will contribute to the development and implementation of innovative AI solutions. As an Intern, you will engage in a learning journey, supporting teams with basic tasks, observing professional work environments, and participating in projects that enhance your understanding of PwC's practices. This is an opportunity to develop your personal brand while contributing to the team's success.

In this role at PwC, you will apply your skills in data modeling, machine learning, and data engineering to real-world challenges, enhancing your technical capabilities and commercial awareness. You will be encouraged to ask questions, take initiative, and produce quality work that adds value for clients. This experience will provide a foundation for your future career, offering insights into the fast-paced environment of data and analytics engineering.

Responsibilities

- Supporting teams in the development and implementation of AI and machine learning models
- Assisting in the analysis and interpretation of complex data sets to derive actionable insights
- Participating in the design and maintenance of data pipelines and data engineering processes
- Engaging in data modeling and predictive modeling to enhance decision-making processes
- Collaborating with team members to apply data science algorithms and methodologies
- Utilizing programming languages such as C++, R, and MATLAB for data analysis and model development
- Contributing to the development of natural language processing solutions and applications
- Assisting in the integration of big data technologies to improve data processing capabilities
- Learning and applying project management techniques to support project goals and timelines
- Observing and participating in client support activities to gain exposure to industry practices

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

- 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, Mathematics, Statistics, Systems Engineering
- Preference for a 3.3 overall GPA
- Demonstrating proficiency in C++ and R programming languages
- Applying knowledge of machine learning and data modeling techniques
- Utilizing Scikit-Learn for machine learning projects
- Engaging in complex data analysis and predictive modeling
- Supporting data-driven decision-making processes
- Participating in natural language processing initiatives
-Leveraging AI to create efficiencies, innovate ways of working and deliver distinctive outcomes
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.



The salary range for this position is: $29.25 - $48.00. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance