- Should mandatorily have a total of 10 years of experience with at least 6 years of experience in advanced analytics and in developing models using advanced analytical tools
- Shall have worked in Python for at least 2 years
- Knowledge of Python R and other open source analytical tools is highly desirable
- The resource should have a very strong experience in data analytics and data handling and experienced in statistical programming on latest IT tools of data analysis
- ROLE AND RESPONSIBILITIES
- As a Lead Data Scientist lead the engagement efforts at different stages from problem definition to diagnosis to solution design development deployment in large government implementation programs
- Create detailed design and architecture and process artifacts implement the solution and the deployment plan
- Connect with senior client business and IT stakeholders demonstrating thought leadership in domain process and technology
- Contribute to Unit and Organizational initiatives and COEs
- REQUIRED SKILLS AND EXPERIENCE
- Strong hands on and in depth knowledge of Data Analytics module
- Strong understanding of the Data Warehousing Business Intelligence AI solutions good understanding of airlines industry
- Thorough understanding of Agile methodology
- Good understanding of business processes in the airlines domain or with government organizations
- Experience in leading and driving Business process workshops and Fit GAP analysis
- Should have working experience in a highly regulated environment
- Should be aware of release governance processes and have experience in working on any incident management tool
Technology->Machine Learning->Python