KPMG India is looking for Assistant Manager - Data Science to join our dynamic team and embark on a rewarding career journey. This position involves providing guidance, leadership, and assistance in delivering data - driven solutions to clients, helping them solve complex business challenges. Key Responsibilities : Project Leadership : Lead and oversee data science and analytics projects, from project initiation to delivery, ensuring they are completed on time and within budget. Collaborate with the advisory team to define project objectives, scope, and deliverables. Data Analysis and Modeling : Perform advanced data analysis and modeling to extract insights and patterns from complex datasets. Develop and implement statistical and machine learning models to solve business problems. Client Engagement : Act as a key point of contact for clients, understanding their needs and translating them into data science solutions. Build and maintain client relationships by providing high - quality advisory services. Team Management : Supervise and mentor junior data scientists, analysts, and consultants. Assign tasks, provide guidance, and support professional development within the team. Solution Design : Work with clients and the team to design data science solutions that address specific business challenges. Identify and recommend appropriate technologies and methodologies. Data Visualization : Create compelling data visualizations and reports to communicate findings and insights effectively to clients. Use tools like Tableau, Power BI, or custom dashboards for data presentation. Quality Assurance : Ensure the accuracy, reliability, and quality of data science projects by conducting thorough quality checks and reviews. Research and Innovation : Stay up - to - date with the latest data science and analytics trends, tools, and techniques. Drive innovation within the team and explore new methods for solving business problems.
Job Classification
Industry: Financial ServicesFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Data Science & Machine Learning - OtherEmployement Type: Full time