Lead Data Scientist

As a Lead Data Scientist in the Credit Risk Domain, you will be part of a dynamic data science team that focuses on developing ML-based data products to enhance lending, fraud detection, collections, insurance, and investment products. Your role will involve: - Leading and executing Data Science projects to build top-notch models and solutions for various BFSI industry use cases - Collaborating with external and internal partners to design and implement optimal solutions - Working on exceptional projects using cutting-edge technology To qualify for this role, we are looking for someone who has: - A degree in Statistics, Computer Science, Mathematics, or a related quantitative field from a reputed institute - Minimum 5 years of experience as a Data Scientist, with a track record of leading projects in credit risk scorecards, collections, fraud, or lending lifecycle - Strong stakeholder management skills, both internal and external - Detail-oriented with excellent organizational skills and the ability to work under tight deadlines - Proficiency in building machine learning models using Python, SQL, and familiarity with cloud computing platforms like AWS - Experience in Pyspark and AutoML would be advantageous - High-energy individual with a positive attitude, promoting knowledge-sharing among team members In addition to the exciting role, you can expect: - A positive and productive work environment - Exposure to a constantly evolving space where change is frequent - An inclusive culture that values diverse perspectives in decision-making - Opportunities to learn cutting-edge concepts in an agile startup environment with a global reach - Access to over 5000 training courses from top learning partners like Harvard, Coursera, and Udacity for personal growth and development Joining our team means contributing to a diverse and inclusive workforce committed to making a difference for millions of individuals and businesses in the financial sector.,