AI Engineering/Data Scientist Intern

Job Description

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About the Job: AI Engineering/Data Scientist Intern

Specialty/Competency: Data Science

Time Type: Full-time

Travel Requirements: Up to 80%

At PwC, we believe in the transformative power of data. Our teams of data and analytics engineers are at the forefront, leveraging advanced technologies and innovative techniques to craft robust data solutions for our diverse clientele. We play a pivotal role in converting raw data into actionable insights, empowering informed decision-making and catalyzing significant business growth.

Those specializing in data science and machine learning engineering at PwC are dedicated to harnessing cutting-edge analytics and sophisticated machine learning methodologies. Our mission is to extract profound insights from vast datasets and drive truly data-driven strategic choices. You will be instrumental in developing predictive models, conducting rigorous statistical analyses, and creating compelling data visualizations to resolve intricate business challenges.

Your Opportunity as an 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 is a unique opportunity to engage with cutting-edge technologies and methodologies, making tangible contributions to projects that leverage the immense power of data to deliver impactful solutions for our clients.

As an Intern, your role will be to support our experienced teams by actively participating in projects, observing professional work environments, and conducting essential research that directly contributes to the team’s overall success. This role places a strong emphasis on learning and gaining valuable exposure to PwC’s established practices, providing you with a platform to develop your personal brand and cultivate commercial awareness.

You are a curious, reliable, and contributing member of a team. In our fast-paced environment, you will have the chance to work on a diverse array of assignments, each presenting unique challenges and scopes. Every experience is viewed as an opportunity to learn and grow. We strongly encourage you to ask questions, take initiative, and consistently produce high-quality work that adds significant value for our clients and contributes to our team’s collective success. During your journey at the Firm, you will begin to establish your personal brand, paving the way for future opportunities within PwC.

Key Responsibilities and Contributions:

In this dynamic role, you will:

• Support Data Science and ML Projects: Actively assist in the development, implementation, and refinement of advanced data science and machine learning models.
• Participate in Data Pipeline Management: Engage in the design and ongoing maintenance of robust data pipelines, ensuring seamless data flow and efficient integration across various systems.
• Conduct Complex Data Analysis: Dive deep into data to extract meaningful insights and identify critical patterns using advanced quantitative methods.
• Assist in AI/NLP Application: Support the application of artificial intelligence and natural language processing techniques to enhance and optimize data-driven solutions.
• Collaborate on Algorithm Development: Work collaboratively with team members to apply various programming languages in the development and optimization of machine learning algorithms.
• Contribute to Predictive Modeling: Play a role in creating sophisticated predictive models designed to forecast outcomes and inform critical decision-making processes.
• Enhance Data Quality: Assist in the rigorous evaluation and continuous improvement of data quality, ensuring the reliability and accuracy essential for impactful analytics.
• Learn from Experts: Observe and learn from experienced professionals, gaining invaluable exposure to best practices in data engineering and analytics.
• Support Project Management: Contribute to project management activities by coordinating tasks, tracking progress, and ensuring project goals are met efficiently.

Skills and Competencies for Success:

To excel in this role, you will embody and further develop the following essential skills and attributes:

• Learning Mindset & Ownership: Demonstrate a strong learning mindset and take proactive ownership of your personal and professional development.
• Inclusive Perspective: Appreciate and respect diverse perspectives, needs, and feelings of others within the team and client engagements.
• Sustainable High Performance: Adopt habits that foster sustained high performance and continuous development of your potential.
• Effective Communication: Actively listen, ask insightful questions to ensure understanding, and clearly express your ideas.
• Feedback Culture: Proactively seek, reflect upon, act on, and provide constructive feedback.
• Analytical Acumen: Gather information from a wide range of sources to meticulously analyze facts and discern underlying patterns.
• Commercial Awareness: Commit to understanding how the business operates and continuously build your commercial awareness.
• Professional Standards: Learn and rigorously apply professional and technical standards (e.g., specific PwC tax and audit guidance), upholding the Firm’s code of conduct and independence requirements.

What You Must Have:

• Educational Pursuit: You are currently pursuing or have successfully completed a Bachelor’s degree.
• Program Eligibility: This is an entry-level client service intern position, 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.
• Internship Timing:
  • Winter Internships typically occur during the spring semester immediately preceding your final year of school.
  • Summer Internships typically take place during the summer immediately preceding your final year of school.

What Sets You Apart (Preferred Qualifications):

Candidates who demonstrate the following will be highly regarded:

• Preferred Fields of Study: Preference for at least one of the following academic 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, or Systems Engineering.
• Academic Excellence: A preference for an overall GPA of 3.3 or higher.
• AI Innovation Mindset: A demonstrable interest in leveraging Artificial Intelligence to create efficiencies, innovate ways of working, and deliver distinctive outcomes.
• Programming Proficiency: Proven proficiency in key programming languages such as Python or R.
• Machine Learning Application: Experience in applying machine learning techniques to effectively solve complex data problems.
• NLP Skills: Familiarity with utilizing natural language processing for generating data-driven insights.
• Predictive Modeling Expertise: Engagement in predictive modeling to accurately forecast trends and outcomes.
• Data Engineering Focus: Support for data engineering projects, with a strong emphasis on maintaining data quality and integrity.

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.

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.

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