Senior Data Scientist

Job Role: Senior Data Scientist – AI/ML & Propensity Modeling Location: Hyderabad Experience: 8+ Years About Anblicks Anblicks is a Data & AI company helping global enterprises transform data into intelligent, scalable, and business-driven solutions. We specialize in Data Engineering, AI/ML, Cloud, Databricks, Snowflake, and Modern Data Platforms , delivering high-impact solutions for complex enterprise data and analytics challenges. We are looking for a Senior Data Scientist to join our Data & AI team and lead the development of advanced machine learning, statistical modeling, predictive analytics, and AI solutions . This role is ideal for a hands-on Data Scientist who enjoys solving complex problems using large-scale data and building models that move from experimentation to production. What You’ll Do Design, develop, evaluate, and deploy advanced machine learning and statistical models for predictive analytics, propensity modeling, segmentation, and data products. Apply statistical modeling, machine learning, optimization, and AI techniques to solve complex business and analytical problems. Work with large and diverse datasets, including demographic, behavioral, transactional, digital, media, and other structured/unstructured data . Drive the complete data science lifecycle — data preparation, feature engineering, model development, validation, optimization, deployment, and monitoring . Build and optimize models using supervised and unsupervised learning, ensemble methods, deep learning, and advanced statistical techniques . Develop production-grade ML solutions using Python, PySpark, Spark MLlib, Scikit-learn, TensorFlow/Keras, or equivalent frameworks. Design and implement scalable ML pipelines using Spark/PySpark and cloud-based data/ML platforms . Build and maintain ETL, ML, and MLOps pipelines supporting reliable production deployment. Implement automated approaches for model validation, monitoring, QA, performance tracking, and model/drift monitoring . Work closely with Product, Engineering, Data Engineering, and Business teams to translate business objectives into scalable data science solutions. Define relevant KPIs and model performance metrics and communicate insights to technical and business stakeholders. Drive adoption of modern Cloud, AI/ML, Databricks, and MLOps technologies across data science initiatives. Explore and implement GenAI and AI Agent solutions to automate analytical and business workflows. Partner with engineering teams to successfully transition models and data science solutions from development to production. Present analytical findings, model performance, and recommendations to senior stakeholders and clients. Mentor junior Data Scientists and contribute to technical standards, best practices, and innovation initiatives. Required Skills & Experience 8+ years of hands-on experience in Data Science, Machine Learning, Statistical Modeling, or a related field. Strong expertise in…