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.

Key Responsibilities

• Collect and scrutinize data, uncovering hidden patterns and generating initial insights that pave the way for hypothesis formulation
• Engage in a transformative journey encompassing business acumen, data comprehension, and meticulous data preparation
• Apply sophisticated statistical and mathematical modeling techniques to develop groundbreaking models that address complex business problems
• Focus on precision and scalability to ensure models resolve issues with optimal efficiency
• Operationalize models by integrating them into applications and processes to maintain their strategic value throughout their lifecycle
• Gain deep insights into business processes, mastering their intricacies to identify challenges and design impactful solutions that drive substantial transformation
• Establish and enforce standards and policies that safeguard clients' most critical assets, ensuring data is secure, private, accurate, accessible, and actionable

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
• 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 adversarial networks (GANs), variational autoencoders (VAEs), etc.)
• Good knowledge of AI frameworks, tools, and platforms such as TensorFlow, PyTorch
• Knowledge and affinity of GenAI libraries and tool sets including HuggingFace, LangChain, RAGAS and more
• Experience working with customers in different industries and understanding their specific challenges and requirements

Required Technical Skills

• Amazon Web Services (AWS)
• Cloud Platform
• Generative AI
• Google Cloud Platform (GCP)
• Machine Learning (ML)
• Programming Languages

Optional Skills

• Accepting Feedback
• Active Listening
• Business Case Development
• Business Data Analytics
• Business Intelligence and Reporting Tools (BIRT)
• Business Intelligence Development Studio
• Communication
• Competitive Advantage
• Continuous Process Improvement
• Data Analysis and Interpretation
• Data Architecture Development
• Database Management System (DBMS)
• Data Collection
• Data Pipeline
• Data Quality
• Data Science
• Data Visualization
• Emotional Regulation
• Empathy
• Inclusion
• Industry Trend Analysis
• Intellectual Curiosity
• Java (Programming Language)
• Market Development

Education

Bachelor Degree (required)

Additional Information

• Position: Associate
• Line of Service: Advisory
• Specialism: Platform Engineering & Architecture Management
• Industry/Sector: Not Applicable
• Government Clearance Required: Yes
• Work Visa Sponsorship Available: No
• Travel Requirements: Not Specified