Insurance Data Scientist

Net2Source Inc. is a Global Workforce Solutions Company, headquartered in New Brunswick, NJ with its local offices in Texas, California, Florida, Illinois, Colorado and Michigan and its global operations in Canada, UK, Europe, UAE, Malaysia, Australia, China, Singapore, and India. Net2Source offers a wide gamut of consulting solutions customized to specific client needs including but not limited to Application Development, Workforce Management and Project Consulting.Role: Insurance Data Scientist:Insurance Data Scientist To engage with respective RHB Insurance stakeholders to ensure alignment on data-solutions, deliverables and standards against Business Challenges. To engage with the Business teams on business opportunities & segment leads on core priorities and business impact. To build revenue tracking for management reporting on Analytics use cases. To work closely with business owners to address business problem using data analytics to provide insights for business decision making. To be embedded into business squad team in Agile methodology for better business knowledge improvement and provide value to business. To execute advanced analytics projects and provide ad hoc analyses to business units. To identify, design, develop and execute the required analytical algorithms, techniques and statistical methods to address and then solve business problems through data solutions. To understand the algorithms/methodologies related implications of advanced analytics solutions, and assist in defining the solutions to support any future business requirements. To Present business Opportunities, reviewed and expected results with Product owners Requirement Bachelor degree or above in Economics, Finance, Math, Statistics or equivalent. Some Experiences in Engaging Business teams on Business requirement gathering and brief understanding of Core P & L impact Management. Min. 1-3 years' experience in analytical and statistical modelling related roles (banking & insurance experience is a plus) Proficient in SAS Programming (minimum 1-2 years) and Basic Python Programming Language Ability to generate analytical insights to business problems Work in Agile Environment Basic expertise in data mining, machine learning, analytical techniques and solutions Basic experience in handling & managing large quantum of data via appropriate tools and techniques