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Data Science Practitioner
Data Science Practitioner
The Data Science Practitioner will manage, architect, and analyze big data to build data-driven insights and high-impact machine learning models. This role involves converting business problems into ML solutions, deriving insights from algorithms, and acting as a Subject Matter Expert to enhance Accenture's marketplace reputation.
About the role
Project Role Description
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 Accentures marketplace reputation.
Key Responsibilities
- Convert a business problem into a data driven ML solution
- Develop, Manage, 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, analysing
- 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 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