• Design, develop, and deploy scalable ML/AI models to solve complex business challenges across multiple domains. • Define, build, and evolve data models, analytical tools, and advanced data science capabilities. • Apply statistical methods and algorithms to extract insights, optimize strategies, and improve business outcomes. • Deliver solutions in areas such as: • Object Detection & Image Recognition • Natural Language Processing (NLP), Sentiment Analysis, Topic Modeling, Concept Extraction • Recommender Systems, Text Classification, Clustering • Customer Segmentation, Propensity & Churn Modeling, Lifetime Value Estimation • Forecasting, Marketing Mix & Price Optimization, Response Modeling • Generative AI and Large Language Models (LLMs) • Collaborate with stakeholders to translate complex findings into actionable business insights through clear visualizations and presentations. • Lead and mentor a team of data scientists; foster knowledge sharing and innovation. • Drive projects using agile methodologies, ensuring timely delivery of milestones. • Partner with cross-functional teams (onshore and offshore) to deliver impactful, production-ready solutions. Requirements • 6+ years’ experience (3+ years as Data Scientist). • Strong Python skills (OOP, modular programming, APIs with Flask/FastAPI). • Expertise in ML algorithms & deep learning frameworks (TensorFlow, Keras, PyTorch). • Knowledge of Azure cloud, PySpark, and unit testing is a plus. • Strong communication, problem-solving, and project management skills. • Degree in Computer Science, Statistics, Maths, or related field.