Senior Associate in AI & Generative AI Data Science

About

At PwC, our data and analytics team is dedicated to harnessing the power of data to extract valuable insights and guide informed business decisions. Utilizing advanced analytics, we help clients optimize their operations and reach strategic objectives.

As a Data Scientist at PwC, your focus will be on applying sophisticated analytical methodologies to derive insights from extensive datasets, facilitating data-driven decision making. You will leverage skills in data manipulation, visualization, and statistical modeling to aid clients in tackling intricate business challenges.

We place emphasis on building meaningful relationships with clients, fostering an environment where you can manage and inspire others. You will be navigating complex scenarios to enhance your personal brand, develop technical expertise, and recognize your strengths. You are expected to anticipate the needs of your team and clients while delivering exceptional quality. Embracing uncertainty, you will turn unclear paths into opportunities for growth and learning.

Responsibilities

• Engaging effectively with diverse perspectives and needs.
• Employing a variety of tools and techniques to generate innovative solutions.
• Applying critical thinking to deconstruct complex concepts.
• Understanding project objectives and how your contributions align with broader strategies.
• Developing an in-depth awareness of business contexts and their evolution.
• Utilizing self-reflection for personal and professional growth.
• Interpreting data to provide actionable insights and recommendations.
• Upholding professional standards and the Firm's code of conduct.

Requirements

Minimum Degree Required:

• Bachelor’s Degree

Minimum Year(s) of Experience:

• 4 years

Client Needs Experience:

• Building Generative AI and traditional AI solutions, including analytical model development, prompt engineering, programming (e.g., Python), testing, and both front-end and back-end integration.
• Documenting and analyzing business processes to identify AI opportunities, gathering requirements, and developing solution approaches.
• Collaborating with clients to understand their challenges and selecting appropriate analytical models for AI use cases.
• Designing AI/Generative AI architectures for custom applications and plugin-based solutions.
• Processing structured and unstructured data for large language models, including developing SQL queries and building database connectors.
• Managing daily operations of a global data analytics team, reviewing models, and providing constructive feedback.
• Guiding data engineers and other data scientists in delivering effective solutions.
• Leading the development of proofs of concept and production use cases in collaborative teams.
• Creating and facilitating presentations for clients.
• Coaching associates and providing feedback to enhance performance.

Functional and Technical Capabilities:

• Managing AI application development teams with back-end and front-end integration skills.
• Proficiency in Python (e.g., Pandas, NLTK, Scikit-learn, Keras) and familiarity with LLM development frameworks (e.g., Langchain, Semantic Kernel).
• Experience with analytical techniques like Machine Learning, Deep Learning, and Optimization.
• Understanding vectorization, embedding, prompt engineering, and RAG workflows.
• Experience or knowledge of cloud platforms like Azure, AWS, or Google Cloud.
• Familiarity with Git for version control, and experience with testing and CI/CD processes.

Additional Information

• Specialty/Competency: Data, Analytics & AI
• Industry/Sector: Not Applicable
• Time Type: Full time
• Travel Requirements: Up to 80%
• Salary Range: $77,000 - $202,000 (Actual compensation depends on individual skills, experience, and location)
• Bonus: All hired individuals are eligible for an annual discretionary