JD - Data Scientist - Mumbai based NBFC Experience - 1-4 Years 5 Days (Work from Office) Mandatory Skills - BFSI relevant exp (banking and NBFCs only) Model Development experience (Scorecards - Application & Behavioural) / Credit Risk Models(PD, EAD, LGD) CRIF / CIBIL / Credit Bureau data experience Strong coding skills Python & SQL Role & responsibilities Developing Statistical model/ Scorecards (Application & Behavioural) / Credit Risk Models (PD, EAD, LGD) independently Engage in advanced data analysis to uncover trends and correlations. Utilize statistical methods and tools to drive insightful recommendations for business strategies and process improvements. Use the data insights to design, develop and build scalable and advanced machine learning models, algorithms and implement them in production through robust systems and architectures Work closely with stakeholders across various departments including product, business analytics, marketing, operations and tech teams and influence business strategy Be abreast of the advanced research and techniques in the deep-learning and artificial intelligence space, and conduct experiments to give the best output Identify, develop, manage, and execute data analyses to uncover areas of opportunity and present business recommendations to drive cost benefit analysis and go/no-go decisions on various initiatives Develop a roadmap and metrics to measure progress of the initiative they own Lead initiatives for full-scale automation in collaboration with data engineering teams, enhancing data accuracy and operational efficiency Preferred candidate profile Degree in mathematics, Statistics, Economics, Computer Science or another quantitative course Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, LLM, Generative AI, NLP, Transformer etc. A strong level of proficiency in data engineering and ML orchestration services, such as S3, dynamoDB, AWS Sagemaker, AWS Step Functions, AWS CodeCommit, AWS Code Pipeline 1+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python)
