AI Engineering/Data Scientist Intern

Job Description

About the Job: AI Engineering/Data Scientist Intern

Specialty/Competency: Data Science

Time Type: Full-time

Travel Requirements: Up to 80%

Salary Range: $29.25 – $48.00 per hour (Actual compensation within this range will depend on individual skills, experience, qualifications, location, and applicable employment laws).

Role Overview at PwC:
At PwC, our dedicated professionals in data and analytics engineering are at the forefront of leveraging advanced technologies and innovative techniques. They are instrumental in designing and developing robust data solutions for our diverse client base. This team plays a pivotal role in the transformation of raw, complex data into actionable insights, empowering informed decision-making and driving significant business growth for our clients.

Specifically within Data Science and Machine Learning Engineering, we focus on employing sophisticated analytics and cutting-edge machine learning techniques to extract deep insights from vast datasets. Our aim is to drive truly data-driven decision-making. You will be actively involved in developing powerful predictive models, conducting rigorous statistical analyses, and creating compelling data visualizations to unravel and solve intricate business challenges across various industries.

Who We Are Looking For:
We seek individuals who are inherently driven by curiosity and demonstrate themselves as reliable, contributing members of a team. In our dynamic and fast-paced environment, you will encounter a wide array of assignments, each presenting unique challenges and varying scopes. Every experience is viewed as a valuable opportunity for learning and personal growth. We strongly encourage you to ask questions, take initiative, and consistently produce high-quality work that not only adds significant value for our clients but also contributes to our collective team success. This internship is a crucial step in establishing your personal brand within the Firm, paving the way for future opportunities and career advancement.

Key Skills & Attributes for Success:
To thrive and deliver exceptional value at this level, candidates should embody a range of essential skills, knowledge, and experiences, including but not limited to:

• Embracing a learning mindset and taking proactive ownership of your continuous professional development.
• Demonstrating an appreciation for diverse perspectives, needs, and feelings of colleagues and clients.
• Adopting sustainable habits that foster high performance and cultivate your full potential.
• Practicing active listening, asking insightful questions to confirm understanding, and expressing ideas with clarity and precision.
• Actively seeking, reflecting upon, acting on, and providing constructive feedback.
• Proficiently gathering information from a variety of sources to meticulously analyze facts and discern crucial patterns.
• Committing to a deep understanding of business operations and continuously building strong commercial awareness.
• Learning and diligently applying professional and technical standards (e.g., referring to specific PwC tax and audit guidance), while upholding the Firm’s stringent code of conduct and independence requirements.

The AI Engineering/Data Scientist Intern Opportunity:
As an AI Engineering/Data Scientist Intern, you will have the unique chance to immerse yourself in the dynamic and evolving world of data science and machine learning engineering. You will actively engage with cutting-edge technologies and methodologies, making tangible contributions to projects that harness the immense power of data to drive impactful solutions for our clients. As an Intern, your role will involve actively supporting teams by participating in various projects, observing professional work environments, and conducting research that directly contributes to the team’s overall success. This role places significant emphasis on learning and gaining valuable exposure to PwC’s best practices, allowing you to develop your personal brand and build crucial commercial awareness. You will be encouraged to ask questions, take initiative, and produce quality work that adds demonstrable value. Your journey will involve applying a strong learning mindset, appreciating diverse perspectives, and adopting habits that sustain high performance. This opportunity is specifically designed to help you grow and develop your potential, laying a solid foundation for future opportunities within the firm.

Key Responsibilities as an Intern:

• Supporting data science and machine learning projects by assisting in the development, testing, and implementation of models.
• Participating in the design and maintenance of data pipelines to facilitate seamless data flow, integration, and accessibility.
• Engaging in complex data analysis to extract meaningful insights and identify hidden patterns using advanced quantitative methods.
• Assisting in the application of artificial intelligence (AI) and natural language processing (NLP) techniques to enhance and innovate data-driven solutions.
• Collaborating with team members to apply various programming languages (e.g., Python, R) in the development and refinement of machine learning algorithms.
• Contributing to the creation of predictive models to forecast future outcomes, trends, and inform strategic decision-making processes.
• Assisting in the rigorous evaluation and improvement of data quality to validate reliability, accuracy, and integrity in analytics.
• Observing and learning from experienced professionals to gain valuable exposure to real-world data engineering and analytics practices.
• Supporting project management activities by coordinating tasks, tracking progress, and helping to ensure project goals and deadlines are met.

What You Must Have (Basic Requirements):

• Currently pursuing or have successfully completed a Bachelor’s degree.
• Client service intern positions are entry-level roles specifically intended for job seekers who are in their third year of a four-year degree program or their 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 fields 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, or Systems Engineering.
• Preference for a 3.3 overall GPA or higher.
• Demonstrated interest or experience in leveraging AI to create efficiencies, innovate ways of working, and deliver distinctive outcomes.
• Proficiency in programming languages such as Python or R.
• Experience applying various machine learning techniques to solve complex data problems.
• Familiarity with or experience utilizing natural language processing (NLP) for data-driven insights.
• Engagement in predictive modeling to forecast trends and outcomes.
• Ability to support data engineering projects with a strong focus on data quality and integrity.

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

PwC’s Commitment to Diversity & Inclusion:
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.