Similar Jobs at PwC
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
As a Manager in Oracle HCM, you'll help clients optimize HR processes by implementing Oracle solutions, leading teams, and ensuring project success through effective problem-solving and innovation.
Top Skills:
Cc&BEbsFusionHyperionOracle ApplicationsOracle Hcm CloudPeoplesoftRiceSiebel
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Lead and deliver specialized tax strategies focused on R&D tax credits, manage client engagements from planning to completion, analyze complex tax regulations, mentor junior staff, uphold professional standards, embrace technology to improve delivery, and build strong client relationships to identify tax optimization opportunities.
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Lead supply chain optimization and consulting engagements, including transportation, distribution, procurement, inventory management, integrated business planning, and process improvement. Analyze trends, develop strategies to reduce costs and improve operations, build client relationships, and guide junior team members to deliver operational excellence and transformative supply chain solutions.
Top Skills:
Supply Chain Management Software
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.
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 an Advisory National - AI Engineering Intern, you will immerse yourself in the dynamic world of data science and machine learning engineering, gaining exposure to cutting-edge technologies and methodologies. This role offers a unique chance to support client-facing projects, where you will contribute to the development and implementation of innovative AI solutions. As an Intern, you will engage in a learning journey, supporting teams with basic tasks, observing professional work environments, and participating in projects that enhance your understanding of PwC's practices. This is an opportunity to develop your personal brand while contributing to the team's success.
In this role at PwC, you will apply your skills in data modeling, machine learning, and data engineering to real-world challenges, enhancing your technical capabilities and commercial awareness. You will be encouraged to ask questions, take initiative, and produce quality work that adds value for clients. This experience will provide a foundation for your future career, offering insights into the fast-paced environment of data and analytics engineering.
Responsibilities
- Supporting teams in the development and implementation of AI and machine learning models
- Assisting in the analysis and interpretation of complex data sets to derive actionable insights
- Participating in the design and maintenance of data pipelines and data engineering processes
- Engaging in data modeling and predictive modeling to enhance decision-making processes
- Collaborating with team members to apply data science algorithms and methodologies
- Utilizing programming languages such as C++, R, and MATLAB for data analysis and model development
- Contributing to the development of natural language processing solutions and applications
- Assisting in the integration of big data technologies to improve data processing capabilities
- Learning and applying project management techniques to support project goals and timelines
- Observing and participating in client support activities to gain exposure to industry practices
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 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, Mathematics, Statistics, Systems Engineering
- Preference for a 3.3 overall GPA
- Demonstrating proficiency in C++ and R programming languages
- Applying knowledge of machine learning and data modeling techniques
- Utilizing Scikit-Learn for machine learning projects
- Engaging in complex data analysis and predictive modeling
- Supporting data-driven decision-making processes
- Participating in natural language processing initiatives
-Leveraging AI to create efficiencies, innovate ways of working and deliver distinctive outcomes
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.
The salary range for this position is: $29.25 - $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: https://pwc.to/benefits-at-a-glance
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 an Advisory National - AI Engineering Intern, you will immerse yourself in the dynamic world of data science and machine learning engineering, gaining exposure to cutting-edge technologies and methodologies. This role offers a unique chance to support client-facing projects, where you will contribute to the development and implementation of innovative AI solutions. As an Intern, you will engage in a learning journey, supporting teams with basic tasks, observing professional work environments, and participating in projects that enhance your understanding of PwC's practices. This is an opportunity to develop your personal brand while contributing to the team's success.
In this role at PwC, you will apply your skills in data modeling, machine learning, and data engineering to real-world challenges, enhancing your technical capabilities and commercial awareness. You will be encouraged to ask questions, take initiative, and produce quality work that adds value for clients. This experience will provide a foundation for your future career, offering insights into the fast-paced environment of data and analytics engineering.
Responsibilities
- Supporting teams in the development and implementation of AI and machine learning models
- Assisting in the analysis and interpretation of complex data sets to derive actionable insights
- Participating in the design and maintenance of data pipelines and data engineering processes
- Engaging in data modeling and predictive modeling to enhance decision-making processes
- Collaborating with team members to apply data science algorithms and methodologies
- Utilizing programming languages such as C++, R, and MATLAB for data analysis and model development
- Contributing to the development of natural language processing solutions and applications
- Assisting in the integration of big data technologies to improve data processing capabilities
- Learning and applying project management techniques to support project goals and timelines
- Observing and participating in client support activities to gain exposure to industry practices
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 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, Mathematics, Statistics, Systems Engineering
- Preference for a 3.3 overall GPA
- Demonstrating proficiency in C++ and R programming languages
- Applying knowledge of machine learning and data modeling techniques
- Utilizing Scikit-Learn for machine learning projects
- Engaging in complex data analysis and predictive modeling
- Supporting data-driven decision-making processes
- Participating in natural language processing initiatives
-Leveraging AI to create efficiencies, innovate ways of working and deliver distinctive outcomes
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.
The salary range for this position is: $29.25 - $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: https://pwc.to/benefits-at-a-glance
PwC Chicago, Illinois, USA Office
One North Wacker Drive, Chicago, IL, United States, 60606
PwC Chicago, Illinois, USA Office
330 North Wabash Avenue, Suite 3950, Chicago, IL, United States, 60611
PwC Rosemont, Illinois, USA Office
9399 West Higgins Road Suite 900, Rosemont, IL, United States, 60018
What you need to know about the Chicago Tech Scene
With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.
Key Facts About Chicago Tech
- Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
- Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
- Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
- Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory

