AI Engineering/Data Scientist Intern

Job Description

Job Title: AI Engineering / Data Scientist Intern

Specialty/Competency: Data Science, AI Engineering, Machine Learning

Time Type: Full-time

Travel Requirements: Up to 80% (Please note this significant travel requirement for the role)

About the Role at PwC

At PwC, our dedicated professionals in data and analytics engineering are at the forefront of leveraging cutting-edge technologies and sophisticated techniques. Their primary mission is to design and develop robust data solutions that empower clients to transform raw information into actionable insights, thereby facilitating informed decision-making and driving significant business growth.

Within the realm of data science and machine learning engineering, our teams focus on applying advanced analytical methods and machine learning algorithms to extract profound insights from vast datasets. This enables a truly data-driven approach to problem-solving. As an integral part of these teams, you will be involved in developing sophisticated predictive models, conducting rigorous statistical analysis, and creating compelling data visualizations to tackle complex business challenges for our diverse client base.

Our Culture & Your Growth

We seek individuals who are driven by curiosity and committed to being reliable, contributing members of a dynamic team. Our fast-paced environment offers a unique opportunity to engage with a variety of assignments, each presenting distinct challenges and scopes. Every experience at PwC is viewed as an invaluable opportunity for learning and professional growth. We actively encourage you to ask probing questions, take proactive initiative, and consistently produce high-quality work that not only adds significant value for our clients but also contributes directly to our team’s collective success. During your tenure, you will have the chance to establish your personal brand, which will pave the way for numerous future opportunities within the Firm.

Key Skills for Success (General Professional Attributes)

To excel and deliver exceptional value at this level, candidates are expected to demonstrate the following essential skills, knowledge, and experiences:

• Continuous Learning: Adopt a proactive learning mindset and take full ownership of your personal and professional development journey.
• Inclusivity & Empathy: Cultivate an appreciation for diverse perspectives, acknowledge the varied needs, and understand the feelings of others within a collaborative environment.
• High Performance Habits: Integrate habits that promote sustained high performance and foster the development of your full potential.
• Effective Communication: Practice active listening, ask clarifying questions to ensure mutual understanding, and clearly articulate your ideas both verbally and in writing.
• Feedback Orientation: Actively seek, thoughtfully reflect on, promptly act upon, and provide constructive feedback to peers and superiors.
• Analytical Thinking: Skillfully gather information from a wide array of sources, rigorously analyze facts, and discern meaningful patterns to inform decision-making.
• Commercial Acumen: Commit to understanding the intricacies of business operations and continuously build your commercial awareness to better serve clients.
• Professional Standards: Learn and diligently apply professional and technical standards (e.g., specific PwC tax and audit guidance), consistently upholding the Firm’s stringent code of conduct and independence requirements.

The Opportunity: AI Engineering / Data Scientist Intern

As an AI Engineering / Data Scientist Intern, you will be fully immersed in the dynamic world of data science and machine learning engineering. This internship offers a unique chance to engage with cutting-edge technologies and advanced methodologies, directly contributing 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 project teams. This includes participating in various project phases, observing professional work environments firsthand, and conducting thorough research to contribute meaningfully to the team’s overall success. This role places a strong emphasis on learning and gaining comprehensive exposure to PwC’s established data engineering and analytics practices, enabling you to develop your personal brand and enhance your commercial awareness.

You will be presented with a diverse range of assignments, each offering unique challenges and scopes. We foster an environment where you are actively encouraged to ask questions, take initiative, and consistently produce quality work that adds tangible value. Your journey at PwC will involve applying a continuous learning mindset, appreciating diverse perspectives, and adopting habits that sustain high performance. This opportunity is meticulously designed to help you grow and develop your potential, paving a clear path for future opportunities within the firm.

Core Responsibilities of the Intern

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

• Model Development Support: Assisting in the development, implementation, and refinement of data science and machine learning models under expert guidance.
• Data Pipeline Participation: Engaging in the design and ongoing maintenance of data pipelines to ensure seamless data flow, efficient integration, and reliable access to information.
• Complex Data Analysis: Contributing to in-depth data analysis using quantitative methods to extract meaningful insights, identify critical patterns, and uncover hidden trends within large datasets.
• AI & NLP Application: Assisting in the practical application of artificial intelligence and natural language processing techniques to enhance and build data-driven solutions.
• Algorithm Development Collaboration: Collaborating with experienced team members to apply various programming languages (e.g., Python, R) in the development and optimization of machine learning algorithms.
• Predictive Modeling Contribution: Actively contributing to the creation and validation of predictive models designed to forecast outcomes and inform strategic decision-making processes.
• Data Quality Assurance: Assisting in the rigorous evaluation and continuous improvement of data quality to validate the reliability, accuracy, and integrity of data used in analytics.
• Professional Observation & Learning: Observing and learning directly from experienced professionals to gain hands-on exposure to best practices in data engineering, data science, and advanced analytics.
• Project Management Support: Supporting various project management activities, including coordinating specific tasks, tracking progress against established timelines, and helping to ensure project goals are met efficiently.

What You Must Have (Qualifications)

• Academic Status: Must be currently pursuing or have recently completed a Bachelor’s degree.
• Internship Timing: 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 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)

Candidates who possess the following attributes and experiences will be highly preferred:

• Academic Focus: 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 (various disciplines with data relevance)
  • Information Technology
  • Machine Learning
  • Management Information Systems
  • Mathematics
  • Statistics
  • Systems Engineering
• Academic Excellence: A preference for an overall GPA of 3.3 or higher.
• AI Application Acumen: Demonstrated ability to leverage AI technologies to create efficiencies, innovate ways of working, and deliver distinctive, impactful outcomes.
• Programming Proficiency: Proven proficiency in key programming languages such as Python or R, used for data manipulation, analysis, and model development.
• Machine Learning Expertise: Practical experience in applying various machine learning techniques to effectively solve complex data-driven problems.
• NLP Skills: Experience in utilizing natural language processing (NLP) for extracting insights from unstructured text data and enhancing data-driven solutions.
• Predictive Modeling Experience: Demonstrated engagement in predictive modeling activities to forecast trends, anticipate outcomes, and support strategic planning.
• Data Engineering & Quality Focus: Supporting data engineering projects with a strong emphasis on maintaining data quality, integrity, and reliability throughout the data lifecycle.

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 specific skills, relevant experience, qualifications, and location, as well as applicable employment laws.

Additional Information

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.