Business Data Scientist – Sales Analytics
Solve high-impact business problems to improve sales using analytics and technology Design smart, tech-driven, future-ready solutions using data, ML and technology integrations Turn data into sharp insights that directly influence sales strategy Own end to end execution – from concept to development to last mile adoption Bring curiosity, ownership, and a bias for action to create real business impact
Data Scientist – Servicing Analytics
Using advanced analytics and machine learning techniques to extract meaningful insights Designing and implementing predictive models to support decision making process Understanding insurance data analytics to mine insights and business actionable. Building end to end ML models by using advance analytics tools like python, AWS etc. End to end project management to last-mile delivery of the solution & tracking for continuous improvements
Data Scientist – AI CoE
Buildingend to end solutions using AI and Gen AI and with structured and unstructured data (text, image, audio etc.) Strong hands-on experience using Python. Preferably some working knowledge with LLMs Generate actionable insights by using AI/ML models and advance analytics tools Have foundational knowledge of hyperscaler cloud platforms (AWS/GCP) Basic exposure to deploying AI applications using industry standard MLOps practice
