Deputy Manager - Data Scientist

As a Data Scientist specializing in Predictive Analytics and Modelling, your primary responsibilities will include conducting pattern analysis and developing machine learning algorithms to identify trends and opportunities. You will collaborate with Program Managers and Business Analysts to translate business requirements into actionable insights and solutions. Additionally, you will lead efforts in data collection, preparation, and validation, ensuring data quality and comprehensive data management in coordination with data scientists, BI developers, and IT teams. In the role, you will be responsible for testing and validating analytical models using historical and real-time data, as well as piloting solutions with Business Analysts and end-users for iterative improvement. Communication skills are essential as you will be required to present complex findings and technical concepts to non-technical stakeholders in a clear and concise manner. Your role will also involve identifying training needs within the organization related to analytics and data science, conducting knowledge-sharing sessions, and workshops to enhance analytical capabilities across teams. You will manage relationships with external vendors for analytics tools and services while collaborating with industry experts and research institutions to stay updated on emerging trends and best practices in data analytics. You will implement tracking mechanisms to monitor compliance and performance of analytical solutions, gathering feedback from stakeholders for continuous improvement. Project management support will be provided by defining project scopes, timelines, and resource requirements, ensuring adherence to quality standards, processes, and best practices in analytics implementation. The ideal candidate for this role should have a B.E/ B.Tech in Mechanical, Power Engineering, or related field, with an Advanced Degree (MBA, M.Tech) preferred. A minimum of 5-8 years of experience in data science, with at least 3 years of strong proficiency in Python is required. A background in power utilities or similar sectors with a proven track record in deploying analytics models into production and scaling them for real-time data handling is preferred for this position.,