Data Scientist AI ML Advanced Analytics Position Summary We are seeking an analytical and innovative Data Scientist to help drive business transformation through Advanced Analytics, Artificial Intelligence and Machine Learning This role focuses on discovering actionable insights from complex datasets developing predictive models identifying optimization opportunities and supporting data driven decision making across the enterprise The ideal candidate is curious, Key Responsibilities Analyze structured and unstructured datasets to identify trends opportunities and business insights Develop and deploy predictive classification clustering and optimization models Apply machine learning statistical analysis and AI techniques to solve business problems Identify hidden patterns and relationships within complex datasets Support experimentation hypothesis testing and model validation activities Develop reusable analytical assets models and reporting frameworks Present analytical findings and business insights to stakeholders Contribute to data science best practices and continuous improvement initiatives Required Qualifications 3+ years of experience in Data Science Machine Learning AI or Advanced Analytics Strong foundation in statistics predictive modeling and machine learning Experience working with large-scale datasets Proficiency in Python SQL R or similar analytical languages Experience with ML frameworks such as Scikit learn TensorFlow PyTorch XGBoost or equivalent Knowledge of data visualization and analytical storytelling Strong problem solving and communication skills Preferred Qualifications Experience with Generative AI Large Language Models Agentic AI or related technologies Experience building predictive or decision intelligence solutions Familiarity with cloud based analytics platforms Experience with anomaly detection recommendation engines or intelligent automation solutions Experience working in large enterprise environments Key Competencies Analytical Thinking Ability to analyze complex data and convert findings into meaningful business insights Pattern Discovery Collaborative Execution The ideal candidate Uses data to uncover opportunities and risks Sees patterns beyond standard reporting Applies AI ML techniques to solve real world business problems Balances analytical rigor with business practicality