Data Science Practitioner

About the Role

Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services and Accenture Song-all powered by the world's largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Visit us at accenture.com

The Data Science Practitioner will manage, architect and analyze big data in order to build data driven insights and high impact data models. Create a value chain to help address the challenges of acquiring data, evaluating its value, distilling & analyzing. Examine data from multiple sources and share insights which provide competitive advantage. Contribute to assets/offerings and thought leadership. Act as Subject Matter Expert in area of expertise and enhance Accenture's marketplace reputation.

Key Responsibilities

• Convert a business problem into a data driven ML solution
• Develop, manage, and architect ML and advanced analytics models
• Derive insights from using ML algorithm
• Create a value chain to help address the challenges of acquiring data, evaluating its value, distilling, and analyzing
• Examine data from multiple sources and share insights which provide competitive advantage
• Contribute to assets/offerings and thought leadership
• Act as Subject Matter Expert in area of expertise

Technical Experience

• Knowledge of ETL activities using Python
• Machine Learning Algorithms in Python
• Advanced Machine learning, Deep Learning, Big Data Processing Frameworks
• End to end knowledge of Life Cycle of Machine Learning Model
• Expertise in Python to deploy Machine Learning and Advanced analytics models
• Use of Python as Data Science tool kit
• Ability to derive insights from analytical and machine learning models

Professional Attributes

• Be a self-starter and a fast learner
• Possess strong problem-solving skills with the ability to methodically analyze and resolve technical challenges
• Possess strong written, verbal, communication, analytical, technical, interpersonal and presentation skills
• Excellent experience in interaction and handling of clients