Lead Data Scientist

Role & responsibilities

• Understand business problems from an analytical and statistical standpoint and define clear problem statements
• Identify data requirements and perform exploratory data analysis to discover trends and patterns
• Pre-process structured and unstructured data for modelling
• Build, evaluate, and improve predictive models and machine learning algorithms
• Collaborate with engineering and product development teams for product enhancement
• Identify statistical techniques to improve data engineering and model-building processes
• Conduct independent research to improve machine learning model performance

Preferred candidate profile

• Master's in Statistics / Mathematics / Operations Research / Economics, or Bachelor's in Engineering, or MBA in Business Analytics / Data Science
• 58 years of work experience in the BFSI domain
• Strong hands-on experience in Python (must-have); PySpark and SQL preferred but not mandatory
• Solid applied statistics, mathematics, and algebra skills
• Strong understanding of machine learning algorithms including supervised and unsupervised ML, neural networks, deep learning, and time-series forecasting
• Research-oriented mindset with the ability to conduct independent research and validate findings
• Strong communication and presentation skills