Role & responsibilities
- Understand business problems from an analytical and statistical standpoint and define transparent 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

📌 Lead Data Scientist (Bengaluru)
🏢 Riverstone Talent
📍 Bengaluru