Job Description

Lensa is a career site that helps job seekers find great jobs in the US. We are not a staffing firm or agency. Lensa does not hire directly for these jobs, but promotes jobs on LinkedIn on behalf of its direct clients, recruitment ad agencies, and marketing partners. Lensa partners with DirectEmployers to promote this job for PwC. Clicking "Apply Now" or "Read more" on Lensa redirects you to the job board/employer site. Any information collected there is subject to their terms and privacy notice.

Specialty/Competency: Data Science

Time Type: Full time

Travel Requirements: Up to 80%

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.

Skills

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 AI Engineering/Data Scientist Intern, you will immerse yourself in the dynamic world of data science and machine learning engineering. You will engage with cutting-edge technologies and methodologies, contributing to projects that harness the power of data to drive impactful solutions for clients. As an Intern, you will support teams by participating in projects, observing professional work environments, and conducting research to contribute to the team's success. This role emphasizes learning and gaining exposure to PwC's practices, allowing you to develop your personal brand and build commercial awareness.

In this role at PwC, you will have the chance to work on a variety of assignments, each presenting unique challenges and scope. You will be encouraged to ask questions, take initiative, and produce quality work that adds value. Your journey will involve applying a learning mindset, appreciating diverse perspectives, and adopting habits to sustain performance. This opportunity is designed to help you grow and develop your potential, paving the way for future opportunities within the firm.

Responsibilities

• Supporting data science and machine learning projects by assisting in the development and implementation of models
• Participating in the design and maintenance of data pipelines to facilitate seamless data flow and integration
• Engaging in complex data analysis to extract meaningful insights and identify patterns using quantitative methods
• Assisting in the application of artificial intelligence and natural language processing techniques to enhance data-driven solutions
• Collaborating with team members to apply programming languages in the development of machine learning algorithms
• Contributing to the creation of predictive models to forecast outcomes and inform decision-making processes
• Assisting in the evaluation and improvement of data quality to validate reliability and accuracy in analytics
• Observing and learning from experienced professionals to gain exposure to data engineering and analytics practices
• Supporting project management activities by coordinating tasks and tracking progress to meet project goals

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 at least 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, Information Technology, Machine Learning, Management Information Systems, Mathematics, Statistics, Systems Engineering
• Preference for a 3.3 overall GPA
• Leveraging AI to create efficiencies, innovate ways of working and deliver distinctive outcomes
• Demonstrating proficiency in programming languages such as Python or R
• Applying machine learning techniques to solve complex data problems
• Utilizing natural language processing for data-driven insights
• Engaging in predictive modeling to forecast trends and outcomes
• Supporting data engineering projects with a focus on data quality and integrity

Learn more about 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:

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. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws.

If you have questions about this posting, please contact support@lensa.com

Job Tags

Full time, Summer work, Summer internship, H1b,

Similar Jobs