PwC - Data Science Manager

Responsibilities: - Leading the design and development of advanced data solutions to transform raw data into actionable insights. - Driving data-driven decision-making through exploratory and descriptive analysis and statistical modeling. - Utilizing advanced analytics and statistical techniques to extract insights from large datasets. - Developing and implementing data visualizations to solve complex business problems and inform strategic decisions. - Managing and coaching teams to apply sound judgment and solve through complexity. - Applying systems thinking to identify underlying problems and opportunities within data projects. - Validating outcomes with clients and acting on feedback to enhance project success. - Directing teams through ambiguous and challenging situations while maintaining composure. - Promoting the use of innovative technologies and leading practices in data science and analytics. - Building and maintaining relationships with stakeholders to identify and address data challenges. - Overseeing the deployment of scalable data engineering solutions to support business growth. What You Must Have: - At least 12 years of experience. - Oral and written proficiency in English required. - Experience with enterprise cloud AI platforms - Azure AI Foundry integrated with Microsoft Fabric and Purview, Amazon Bedrock with Knowledge Bases and Guardrails, or Google Vertex AI with BigQuery and Agentspace for building, governing, and deploying production-grade Gen AI and Agentic AI solutions at scale. - Awareness of AI governance platforms and observability tools (LangSmith, Arize, etc.) for monitoring, tracing, and debugging production AI systems. - Capable of LLM selection decisions (GPT, Claude, Gemini, Llama, Mistral, etc.) against enterprise requirements including cost, latency, and compliance. What Sets You Apart: - Preference for at least one of the following fields of study: Artificial Intelligence and Robotics, Business Analytics, Computer and Information Science, Computer Engineering, Computer Programming, Data Processing/Analytics/Science, Engineering, Information Technology, Machine Learning, Management Information Systems, Mathematics, Statistics, Systems Engineering. - Demonstrating advanced skills in data science algorithms and workflows. - Utilizing machine learning and deep learning techniques for innovative solutions. - Leading complex data engineering projects with a focus on operational excellence. - Applying systems thinking to identify and solve underlying problems. - Excelling in strategic questioning and data-driven decision making. - Validating outcomes with clients and acting on feedback to drive results.