At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems.
Translating the vision, you set the tone, and inspire others to follow. Your role is crucial in driving business growth, shaping the direction of client engagements, and mentoring the next generation of leaders. You are expected to be a guardian of PwC's reputation, understanding that quality, integrity, inclusion and a commercial mindset are all foundational to our success. You create a healthy working environment while maximising client satisfaction. You cultivate the potential in others and actively team across the PwC Network, understanding tradeoffs, and leveraging our collective strength.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
- Lead in line with our values and brand.
- Develop new ideas, solutions, and structures; drive thought leadership.
- Solve problems by exploring multiple angles and using creativity, encouraging others to do the same.
- Balance long-term, short-term, detail-oriented, and big picture thinking.
- Make strategic choices and drive change by addressing system-level enablers.
- Promote technological advances, creating an environment where people and technology thrive together.
- Identify gaps in the market and convert opportunities to success for the Firm.
- Adhere to and enforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance) the Firm's code of conduct, and independence requirements.
Minimum Degree Required (BQ)
Bachelor's Degree
Minimum Year(s) of Experience (BQ)
10 year(s)
Degree Preferred
Master's Degree
Preferred Knowledge/Skills
Demonstrates thought leader-level abilities and/or a proven record of success managing the identification and addressing of client needs:
- Managing development teams in building of AI and GenAI solutions, including but not limited to analytical modeling, prompt engineering, general all-purpose programming (e.g., Python), testing, communication of results, front end and back-end integration, and iterative development with clients
- Documenting and analyzing business processes for AI and Generative AI opportunities, including gathering of requirements, creation of initial hypotheses, and development of AI/GenAI solution approach
- Working with client team to understand their business problem and select the appropriate models and approaches for AI/GenAI use cases
- Designing and solutioning AI/GenAI architectures for clients, specifically for plugin-based solutions (i.e., ChatClient application with plugins) and custom AI/GenAI application builds
- Managing teams to process unstructured and structured data to be consumed as context for LLMs, including but not limited to embedding of large text corpus, generative development of SQL queries, building connectors to structured databases
- Managing daily operations of a global data and analytics team on client engagements, review developed models, provide feedback and assist in analysis;
- Directing data engineers and other data scientists to deliver efficient solutions to meet client requirements;
- Leading and contributing to development of proof of concepts, pilots, and production use cases for clients while working in cross-functional teams;
- Facilitating and conducting executive level presentations to showcase GenAI solutions, development progress, and next steps
- Structuring, write, communicate and facilitate client presentations; and,
- Managing staff through coaching, providing feedback, and guiding work performance.
Demonstrates thought leader-level abilities and/or a proven record of success learning and performing in functional and technical capacities, including the following areas:
- Managing GenAI application development teams including back-end and front-end integrations
- Using Python (e.g., Pandas, NLTK, Scikit-learn, Keras, etc.), common LLM development frameworks (e.g., Langchain, Semantic Kernel), Relational storage (SQL), Non-relational storage (NoSQL);
- Experience in analytical techniques such as Machine Learning, Deep Learning and Optimization
- Vectorization and embedding, prompt engineering, RAG (retrieval, augmented, generation) workflow dev
- Understanding or hands on experience with Azure, AWS, and / or Google Cloud platforms
- Experience with Git Version Control, Unit/Integration/End-to-End Testing, CI/CD, release management, etc.
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.
Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines
The salary range for this position is: $148,000 - $317,000, plus individuals may be eligible for an annual discretionary bonus. 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
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