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Job Details
Industry/Sector: Not Applicable
Time Type: Full time
Travel Requirements: Up to 20%
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. As part of generative AI at PwC, you will be is responsible for leading the development of AI and GenAI solutions, including analytical modeling and prompt engineering. You will also have an expertise in AI/GenAI architectures including design, testing, deployment and maintenance, leading to end-to-end solutions.
Driven by curiosity, you are a reliable, contributing member of a team. In our fast-paced environment, you are expected to adapt to working with a variety of clients and team members, each presenting varying challenges and scope. Every experience is an opportunity to learn and grow. You are expected to take ownership and consistently deliver quality work that drives value for our clients and success as a team. As you navigate through the Firm, you build a brand for yourself, opening doors 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 Financial Crime and Regulations Compliance and audit guidance), uphold the Firm's code of conduct and independence requirements.
The Opportunity
As an Assurance Artificial Intelligence Technology Associate, you will engage in the dynamic field of data and analytics engineering, focusing on artificial intelligence and machine learning. You will have the chance to work directly with clients, applying your skills in machine learning, generative AI, AI agents, AI development, AI governance, and AI evaluation to deliver impactful solutions.
As an Associate, you will be immersed in a learning environment where you will contribute to client projects, develop your technical skills, and build meaningful client connections. You will be encouraged to embrace challenges, ask questions, and use these experiences as opportunities for growth.
In this role, you will be part of the Assurance AI team, where you will support senior staff and participate in project tasks. You will develop a deeper understanding of the business context and how your work fits into the overall strategy. By engaging in research and utilizing a broad range of tools, you will generate new ideas and solve problems, contributing to the delivery of quality work. This position offers a unique opportunity to grow your personal brand and deepen your technical knowledge in a supportive and collaborative environment.
Responsibilities
- Developing and implementing machine learning and generative AI model evaluation practices to enhance data-driven decision-making processes
- Collaborating with cross-functional teams to assess artificial intelligence solutions embedded in existing systems
- Utilizing programming languages such as Python and Java to build scalable data infrastructure and pipelines
- Conducting complex data analysis to extract insights and inform strategic initiatives
- Managing data quality and integration efforts to support reliable and consistent data outputs
- Leveraging open-source software and machine learning libraries to innovate and streamline AI implementations and facilitate AI evaluation
- Supporting client engagements by providing technical insights and recommendations for AI technology adoption, evaluation, and governance
What You Must Have
- Currently pursuing or have completed a Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Physics, Computational Chemistry, Mathematics
- At least a 3.0 overall GPA
- Client service associate positions are entry-level roles intended for job seekers who are completing or have recently completed their final academic year of educational requirements
What Sets You Apart
- Preference for a 3.3 overall GPA
- Leveraging AI to create efficiencies, innovate ways of working and deliver distinctive outcomes
- Excelling in data infrastructure and integration
- Utilizing Python and Java for AI solutions
- Implementing machine learning libraries like Scikit-Learn
- Applying natural language processing techniques
- Developing complex data analysis skills
- Experience with AI Evaluation
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: $53,500 - $104,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. 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
At PwC, we combine people and technology to tackle the world’s biggest challenges. With offices in 149 countries and more than 370,000 people, we... Read more