Overview
On Site
USD 37.00 - 48.00 per hour
Full Time
Skills
Innovation
Product Innovation
Software Engineering
FOCUS
Presentations
Taxes
Auditing
Research
Brand
Computer Engineering
IT Management
Information Systems
Statistics
Robotics
Data Processing
Analytics
Science
Computer Science
Systems Engineering
Python
Machine Learning (ML)
Cloud Computing
RESTful
Microservices
Artificial Intelligence
Law
LOS
Recruiting
Management
Job Details
Industry/Sector
Not Applicable
Specialism
Software Engineering
Management Level
Intern/Trainee
Job Description & Summary
At PwC, our people in software and product innovation focus on developing cutting-edge software solutions and driving product innovation to meet the evolving needs of clients. These individuals combine technical experience with creative thinking to deliver innovative software products and solutions.
Those in software engineering at PwC will focus on developing innovative software solutions to drive digital transformation and enhance business performance. In this field, you will use your knowledge to design, code, and test cutting-edge applications that revolutionise industries and deliver exceptional user experiences.
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.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
The Opportunity
As part of the AI Engineering team you will support teams and participate in projects, focusing on learning and gaining exposure to PwC's practices. As an Intern, you will perform basic tasks and conduct research while observing professional work environments and learning about developing your personal brand.
Responsibilities
- Participate in team discussions and share insights
- Gather information from diverse sources to identify trends
- Apply a learning mindset to enhance your skills
- Support the implementation of PwC's methodologies
What You Must Have
- Bachelor's Degree
What Sets You Apart
- Preferred Field(s) of Study: Computer Engineering, Computer Programming, Engineering, Information Technology, Management Information Systems, Statistics, Artificial Intelligence and Robotics, Data Processing/Analytics/Science, Computer Science, Systems Engineering preferred
- Preferred Cumulative GPA: 3.0
- Preferred Major GPA: 3.3
- Experience in machine learning, advanced learning, or AI solution engineering
- Proficiency with Python and ML frameworks
- Familiarity with cloud platforms and deployment services
- Understanding of RESTful APIs and microservices
- Experience with modern development tools and scalable deployment strategies
- Knowledge of Responsible AI practices and ethical model deployment
- Collaborating and contributing as a team member
- Innovating through new and existing technologies
Travel Requirements
Up to 20%
Job Posting End Date
Learn more about how we work: ;br>
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: ;br>
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: $37.00 - $48.00. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link:
Not Applicable
Specialism
Software Engineering
Management Level
Intern/Trainee
Job Description & Summary
At PwC, our people in software and product innovation focus on developing cutting-edge software solutions and driving product innovation to meet the evolving needs of clients. These individuals combine technical experience with creative thinking to deliver innovative software products and solutions.
Those in software engineering at PwC will focus on developing innovative software solutions to drive digital transformation and enhance business performance. In this field, you will use your knowledge to design, code, and test cutting-edge applications that revolutionise industries and deliver exceptional user experiences.
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.
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 part of the AI Engineering team you will support teams and participate in projects, focusing on learning and gaining exposure to PwC's practices. As an Intern, you will perform basic tasks and conduct research while observing professional work environments and learning about developing your personal brand.
Responsibilities
- Participate in team discussions and share insights
- Gather information from diverse sources to identify trends
- Apply a learning mindset to enhance your skills
- Support the implementation of PwC's methodologies
What You Must Have
- Bachelor's Degree
What Sets You Apart
- Preferred Field(s) of Study: Computer Engineering, Computer Programming, Engineering, Information Technology, Management Information Systems, Statistics, Artificial Intelligence and Robotics, Data Processing/Analytics/Science, Computer Science, Systems Engineering preferred
- Preferred Cumulative GPA: 3.0
- Preferred Major GPA: 3.3
- Experience in machine learning, advanced learning, or AI solution engineering
- Proficiency with Python and ML frameworks
- Familiarity with cloud platforms and deployment services
- Understanding of RESTful APIs and microservices
- Experience with modern development tools and scalable deployment strategies
- Knowledge of Responsible AI practices and ethical model deployment
- Collaborating and contributing as a team member
- Innovating through new and existing technologies
Travel Requirements
Up to 20%
Job Posting End Date
Learn more about how we work: ;br>
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: ;br>
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: $37.00 - $48.00. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link:
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.