Head Of Data Science




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Scienaptic is the world's leading AI powered Credit Underwriting platform company. Designed by seasoned Chief Risk Officers, its platform is creating industry leading business impact in terms of lifts such as higher approvals (15-40%) and lower credit losses (10-25%) with all the regulatory explainability. Last year alone, we have helped financial institutions evaluate 45 Million consumers and offer credit to over 15 Million. Scienaptic’s clients include Fortune 100 banks, community banks and Fintechs.

​The ‘Head of Data Science’ role will enable you to be at the forefront of latest cutting-edge technology and create a significant and visible business impact for Scienaptic. You will be working with some of the best-in-class Coders, AI/ML Scientists and Business Analytics Consultants in an environment which will encourage you to contribute widely to functional and technological aspects without worrying about conventional job silos.

Job Responsibilities

  • Build advanced Data Science/Machine Learning models to create significant business impact for clients and ensure client satisfaction

  • Support core algorithmic evolution of the company

  • Work closely with pre-sales and business development teams to create compelling business offerings

  • Understand evolving market needs and support evolution of product roadmap by providing technical and domain expertise

  • Attract and Develop globally superior ML competency in the organisation

  • Recruiting, coaching, mentoring and developing a pool of Data Scientists within the organisation and ensuring alignment of pool to company-wide vision and strategies

Skills & Competencies

  • 10+ years of professional experience of working in financial services sector in the domain of credit risk/fraud/ collections

  • Exposure to machine learning, natural language processing, statistical modelling

  • Exceptional analytical and problem-solving skills

  • Proven track record of hiring and leading high performing teams

  • PhD/Master’s degree in Analytics discipline

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