AI Engineering/Data Scientist Intern

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AI Engineering/Data Scientist Intern

Specialty/Competency: Data Science
Time Type: Full Time
Travel Requirements: While the broader team operates within a client-centric model that may involve significant travel for experienced professionals (up to 80%), this intern role is primarily focused on internal project support and learning, with minimal travel expectations for the intern.

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About PwC and Our Data & Analytics Vision

At PwC, we are at the forefront of leveraging advanced technologies and sophisticated analytical techniques to transform raw data into powerful, actionable insights for our diverse clientele. Our data and analytics engineering professionals are dedicated to designing and developing robust data solutions, enabling informed decision-making and driving significant business growth. Those focused on data science and machine learning engineering apply cutting-edge analytics to extract profound insights from vast datasets, powering data-driven strategies. You will contribute to the development of predictive models, conduct rigorous statistical analysis, and craft compelling data visualizations to tackle complex business challenges.

Your Journey as a PwC Intern: Opportunity and Growth

As an AI Engineering/Data Scientist Intern, you will be immersed in the dynamic and rapidly evolving world of data science and machine learning. This is an unparalleled opportunity to engage with cutting-edge technologies and methodologies, directly contributing to projects that harness the immense power of data to deliver impactful solutions for our clients. As an Intern, you will actively support project teams, observe professional work environments, and conduct essential research, playing a vital role in the team’s success. This role places a strong emphasis on learning and gaining hands-on exposure to PwC’s established practices, empowering you to develop your personal brand and build crucial commercial awareness within a global consulting firm.

Driven by an innate curiosity, you will be a reliable and valued contributing member of your team. In our fast-paced environment, you will have the unique chance to work on a diverse array of assignments, each presenting varying challenges and scope. Every experience is intentionally designed as an opportunity to learn and grow. You will be actively encouraged to ask questions, take initiative, and produce consistently high-quality work that genuinely adds value for our clients and contributes significantly to our team’s collective success. During your time at PwC, you will begin to establish your professional brand, paving the way for future opportunities within the firm.

What You’ll Contribute: Key Responsibilities

In this hands-on internship, you will play a crucial role in various stages of data science and machine learning projects, including:

• Model Development & Implementation: Actively supporting and assisting in the development, testing, and deployment of robust data science and machine learning models.
• Data Pipeline Participation: Contributing to the design, maintenance, and optimization of data pipelines to ensure seamless data flow, integration, and accessibility across projects.
• Complex Data Analysis: Engaging in sophisticated quantitative data analysis to extract meaningful insights, identify critical patterns, and uncover hidden opportunities within large datasets.
• AI & NLP Application: Assisting in the practical application of artificial intelligence and natural language processing techniques to enhance data-driven solutions and unlock value from unstructured text data.
• Algorithm Development Collaboration: Collaborating closely with experienced team members to apply various programming languages (e.g., Python, R) in the development and refinement of machine learning algorithms.
• Predictive Modeling: Contributing to the creation and refinement of predictive models designed to forecast outcomes, anticipate trends, and inform strategic decision-making processes.
• Data Quality Assurance: Assisting in the rigorous evaluation and continuous improvement of data quality, ensuring the reliability, accuracy, and integrity of data used in all analytical efforts.
• Professional Learning & Observation: Observing and learning directly from experienced data engineering and analytics professionals, gaining invaluable exposure to industry best practices, methodologies, and project execution.
• Project Management Support: Supporting various project management activities by coordinating tasks, tracking progress, and ensuring alignment to meet challenging project goals and deadlines.

Who We’re Looking For: Essential Skills & Qualifications

To thrive in this role, we seek individuals who combine a strong academic foundation with a proactive, growth-oriented mindset.

Core Professional Skills & Attributes:

• Learning Mindset & Ownership: Demonstrates a strong learning mindset and takes personal ownership for continuous professional development.
• Inclusive Perspective: Appreciates and respects diverse perspectives, needs, and feelings of colleagues and clients.
• High Performance Habits: Adopts habits and practices that sustain high performance and facilitate the development of full potential.
• Effective Communication: Actively listens, asks insightful questions to confirm understanding, and clearly expresses complex ideas in a concise manner.
• Feedback Orientation: Actively seeks, reflects on, acts upon, and provides constructive feedback for mutual growth.
• Analytical Acumen: Gathers information from a diverse range of sources to meticulously analyze facts and discern critical patterns.
• Commercial Awareness: Committed to understanding business operations and actively building commercial awareness to deliver relevant solutions.
• Professional Standards: Eager to learn and apply professional and technical standards (e.g., PwC’s specific guidance), while upholding the Firm’s stringent code of conduct and independence requirements.

Technical & Academic Prowess (What Sets You Apart):

• Educational Foundation:
• Currently pursuing or have successfully completed a Bachelor’s degree.
• Client service intern positions are entry-level roles primarily 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.
• Preferred Fields of Study: Preference for at least one of the following fields: 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 Excellence: Preference for a 3.3 overall GPA or higher.
• AI & Innovation: Demonstrates an eagerness to leverage AI to create efficiencies, innovate ways of working, and deliver distinctive outcomes.
• Programming Proficiency: Demonstrated proficiency in programming languages such as Python or R.
• Machine Learning Application: Ability to apply fundamental machine learning techniques to solve complex data problems.
• Natural Language Processing: Familiarity with utilizing natural language processing (NLP) for extracting data-driven insights.
• Predictive Modeling Experience: Experience in engaging in predictive modeling to forecast trends and outcomes.
• Data Engineering Focus: Capability to support data engineering projects with a strong focus on data quality and integrity.

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Compensation: The salary range for this position is: $29.25 – $48.00 per hour. Actual compensation within this range will be dependent upon the individual’s skills, experience, qualifications, location, and applicable employment laws.

Learn more about how we work: [https://pwc.to/how-we-work](https://pwc.to/how-we-work)

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](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.