We are looking for a skilled candidate to join our team and drive insights, innovation, and automation through advanced analytics and machine learning. The ideal candidate will combine strong statistical knowledge, machine learning expertise, and programming skills with business acumen to design, build, and deploy scalable data-driven solutions. Key expectations: Data Exploration & Preparation: Collect, clean, and preprocess structured and unstructured data from multiple sources for analysis and modeling. Machine Learning & Modeling: Develop, train, and optimize predictive and prescriptive models using techniques such as regression, classification, clustering, recommendation systems, NLP, and deep learning. Statistical Analysis & Insights: Apply statistical methods and hypothesis testing to extract insights, validate assumptions, and inform business strategies. MLOps & Deployment: Implement scalable ML workflows with CI/CD, automated retraining, and monitoring, using cloud platforms such as Azure ML Business Collaboration: Partner with product, engineering, and business teams to identify use cases, prioritize initiatives, and embed data science solutions Required Skills: Strong proficiency in Python with ML libraries and ability to build end-to-end ML pipelines in cloud-native platforms Good knowledge of machine learning algorithms, including supervised (Regression, Random Forests, Gradient Boosted Trees), unsupervised (K-means, DBSCAN, PCA, anomaly detection models), NLP (Transformers, text classification, fuzzy matching), and time-series forecasting (ARIMA, Prophet, LSTMs) Hands-on expertise in MLOps practices such as CI/CD for ML models