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Key Responsibilities: - Develop and implement predictive models using advanced statistical techniques and machine learning algorithms. - Perform exploratory data analysis (EDA) to identify trends, anomalies, and opportunities for optimization. - Build, test, and validate statistical models (regression, time-series forecasting, classification, clustering, etc.) to drive decision-making. - Collaborate with AI engineers, data scientists, and business stakeholders to translate business challenges into data-driven solutions. - Deploy models into production environments and monitor their performance, accuracy, and scalability. - Communicate insights effectively through visualizations, dashboards, and reports for technical and non-technical audiences. - Continuously explore new methods, tools, and algorithms in AI, ML, and predictive analytics to improve outcomes. Required Skills & Qualifications: - Education: Bachelors or Masters in Statistics, Mathematics, Computer Science, Data Science, or related field. - Experience: 4+ years in predictive analytics, statistical modelling, or data science roles (preferably in AI or tech-driven companies). - Strong knowledge of statistical techniques (regression, hypothesis testing, probability, time-series, multivariate analysis). - Proficiency in Python / R for modelling, data manipulation, and visualization. - Experience with ML frameworks (scikit-learn, TensorFlow, PyTorch) and data handling tools (SQL, Pandas, NumPy). - Exposure to cloud platforms (AWS, GCP, or Azure) for model deployment. - Robust problem-solving skills with the ability to work on structured and unstructured datasets. - Excellent communication skills to explain complex analytical results to business teams. May Have - Experience in natural language processing (NLP), recommendation systems, or deep learning. - Knowledge of MLOps practices for scalable AI model deployment. - Familiarity with big data ecosystems (Spark, Hadoop, Databricks). - Publications, certifications, or contributions to AI/ML research communities .