Data Scientist

About the Role 

As a PwC GenAI Data Science Consultant, you are the linchpin between complex business challenges and cutting-edge AI solutions, leveraging a unique combination of rigorous methodologies, advanced statistics, mathematical prowess, industry expertise, strategic consulting, and software development. Your role is multifaceted, and each day presents new opportunities to innovate and lead. 

You will immerse yourself in the core of our clients' businesses, grasping their goals and demands, and transforming these insights into actionable data strategies through a rich understanding of business dynamics. Your journey begins with collecting and scrutinizing data, uncovering hidden patterns and generating initial insights that pave the way for hypothesis formulation. 

In this capacity, you will engage in a transformative journey encompassing business acumen, data comprehension, and meticulous data preparation. By applying sophisticated statistical and mathematical modeling techniques, you will develop groundbreaking models that address complex business problems. Your keen focus on precision and scalability ensures these models not only resolve issues but do so with optimal efficiency. 

Beyond model creation and validation, you play a crucial role in operationalizing these models by integrating them into applications and processes. This ensures that the solutions you architect maintain their strategic value throughout their lifecycle. 

Your expertise transcends data; you will gain deep insights into business processes, mastering their intricacies to identify challenges and design impactful solutions that drive substantial transformation. You will establish and enforce standards and policies that safeguard our clients' most critical assets, ensuring data is secure, private, accurate, accessible, and, crucially, actionable. Your proficiency extends to data management, migration, strategic planning, change management, and navigating policy and regulatory landscapes. 

If you are ready to harness the transformative power of data and embark on an extraordinary journey with PwC GenAI, join us. Together, we will redefine possibilities and unlock your full potential. 
 

Required Skills and Experience 

• 5+ years of AI and Data consulting experience, or other relevant experience in AI & Analytics domain, with a proven track record of building and maintaining client relationships 

• Collaborate with customers and team to identify new AI opportunities, and build proposals and pitch materials to position PwC as a trusted partner for AI & Data transformation 

• Organize and lead educational and ideation AI and Generative AI workshops for customers 

• Understand customer's needs and assess their AI maturity 

• Evaluate and recommend appropriate AI frameworks, tools and platforms 

• Lead AI feasibility studies and PoC projects to demonstrate the value and viability of AI solutions 

• Develop end to end AI PoC projects using Python, Flask, FastAPI and Streamlit 

• Have experience in cloud services of AWS / Azure to deploy AI products 

• Collaborate with AI architects and engineers to design and develop AI and Generative AI solutions tailored to the clients’ requirements 

• Lead integration and deployment of AI solutions into customers’ existing infrastructure 

• Stay updated with the latest advancements in AI and Generative AI technologies, trends and best practices and develop thought leadership and PoV on AI 

• Work with cross-functional team and partners to develop/ enhance and package AI offerings and assets for customer-facing discussions 

• In-depth understanding of AI technologies, including machine learning, deep learning, and generative AI techniques (such as generative adversial networks (GANs), variational autoencoders (VAEs), etc.) 

• Good knowledge of AI frameworks, tools, and platform such as TensorFlow, PyTorch 

• Knowledge and affinity of GenAI libraries and tool sets included HuggingFace, LangChain, RAGAS and more 

• Experience working with customers in different industries and understanding their specific challenges and requirements 

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