Key Responsibilities: • Manage a team of data scientists, machine learning engineers and big data specialists • Lead data mining procedures ensuring data quality and integrity. • Interpret and analyse data problems and suggest workable solutions. • Conceive, plan, and prioritize multiple analytical projects at a time. • Build analytic systems and predictive models as required for the business needs. • Monitor the model performance periodically and suggest appropriate actionable when the performance declines • Experiment with new models and techniques and suggest appropriate techniques for each requirement. • Run sample models as DOE/ AB testing / Champion x Challenger to test and identify business opportunity under controlled environment • Align data projects with organizational goals ensuring integrity, accuracy, and timeliness of data used in building of models. • Work closely with business analysts, data engineers, and other stakeholders to gather requirements and ensure alignment with business objectives. • Provide support and training to end-users on automated reporting tools and processes. Required Skills and Qualifications: • Education: Bachelor’s degree in Data Science, Mathematics, Statistics, Business Analytics, or a related field. Advanced degrees or certifications are a plus. • Experience: • Experience in handling a team of 3 data scientists or above. • Proficiency in programming languages such as Python or R for data interpretation and segmentation. • Experience with SQL for data extraction and manipulation. • Good experience in building analytical models and scorecards in lending industry. • Technical Skills: • Strong understanding of NBFC business, knowledge of database and data massaging methodologies. • Familiarity with cloud-based data platforms (e.g., AWS, Azure, Google Cloud) is an advantage. • Knowledge of scripting and automation tools (e.g., Bash, PowerShell) is beneficial. • Soft Skills: • Excellent analytical and problem-solving skills. • Strong attention to detail and ability to work with complex datasets. • Effective communication skills, both written and verbal. • Ability to work independently as well as part of a team. Preferred Skills and Qualifications: • Experience with advanced analytics or machine learning techniques. • Familiarity with Agile or other project management methodologies. • Experience in a similar industry or domain.