AI & GenAI Data Scientist - Manager

Position Overview

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. In this role, you will utilize 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 challenges. Enhancing your leadership style, you will motivate, develop, and inspire others, coaching team members and managing performance to deliver on client expectations, while identifying opportunities that contribute to the Firm’s overall success.

Key Responsibilities

• Analyse and identify the linkages and interactions between the component parts of an entire system.
• Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion.
• Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables.
• Develop skills outside your comfort zone and encourage others to do the same.
• Effectively mentor others and use the review of work as an opportunity to deepen the expertise of team members.
• Address conflicts or issues by engaging in difficult conversations with clients, team members, and stakeholders, escalating when appropriate.
• Uphold and reinforce professional and technical standards, including adherence to PwC’s guidance, code of conduct, and independence requirements.

Required Qualifications

• Bachelor's Degree
• 7 year(s) of relevant experience
• Experience managing development teams in building AI and GenAI solutions, including analytical modeling, prompt engineering, Python programming, testing, and integration (front end and back-end) in iterative client projects.
• Proven ability in documenting and analyzing business processes for AI and Generative AI opportunities – from gathering requirements to developing solution approaches.
• Skilled at collaborating with client teams to understand business problems and select appropriate models and approaches for AI/GenAI use cases.
• Experience in designing AI/GenAI architectures for plugin-based solutions and custom application builds.
• Capability in managing teams to process unstructured and structured data for LLM contexts, including embedding large text corpora and developing SQL queries.
• A strong record in managing daily operations of global data and analytics teams, reviewing models, providing feedback, and assisting in analysis.
• Experience directing data engineers and data scientists to deliver efficient, client-focused solutions.
• Proven experience in leading cross-functional teams in developing proofs of concept, pilots, and production use cases, including executive-level presentations on GenAI solutions.
• Expertise in managing associates and senior associates through coaching, feedback, and performance guidance.
• Experience managing GenAI application development teams, encompassing both back-end and front-end integrations.
• Proficiency in Python (e.g., Pandas, NLTK, Scikit-learn, Keras) and familiarity with common LLM development frameworks (e.g., Langchain, Semantic Kernel), relational (SQL) and non-relational (NoSQL) storage.
• Practical experience with analytical techniques including Machine Learning, Deep Learning, and Optimization, as well as vectorization, embedding, prompt engineering, and RAG workflow development.
• Working knowledge of cloud platforms such as Azure, AWS, and/or Google Cloud, along with Git version control and CI/CD practices.

Benefits & Perks

• Compensation: $99,000 - $232,000 with an annual discretionary bonus based on skills, experience, and location.
• Comprehensive healthcare including medical, dental, and vision coverage.
• 401k, holiday pay, vacation, and personal/family sick leave among other competitive benefits.