Data Scientist/Data Engineer Bengaluru (India)

Location - Bangalore Key Responsibilities Lead end-to-end data science projects, from data exploration and feature engineering to model deployment and performance monitoring. Develop machine learning, statistical, and predictive models to solve complex Finance Operations challenges. Design and execute experiments, forecasting models, anomaly detection, and decision science solutions. Analyze large datasets using SQL, Python, Spark, and PySpark to generate actionable business insights. Collaborate with Product Managers, Data Engineers, Finance stakeholders, and Engineering teams to translate business problems into analytical solutions. Present findings and recommendations to senior stakeholders and influence data-driven decision-making. Continuously improve model performance and stay updated with emerging AI and Machine Learning technologies. Required Qualifications 4+ years of experience in Data Science or Applied Machine Learning. Robust proficiency in Python and SQL. Hands-on experience building and deploying Machine Learning models in production environments. Solid understanding of statistical modeling, hypothesis testing, experimentation, predictive analytics, forecasting, and anomaly detection. Experience working with Spark/PySpark for large-scale data processing. Solid analytical, problem-solving, and stakeholder management skills. Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, Economics, or a related quantitative discipline. Preferred Qualifications Experience with Generative AI, LLMs, Hugging Face, RAG architectures, and NLP. Experience with recommendation systems, optimization models, or forecasting solutions. Knowledge of AWS Machine Learning and Analytics services. Experience with MLOps, model deployment, monitoring, and governance. Prior experience in Finance, Procurement, Operations, or large-scale technology organizations. Master's degree or PhD in a quantitative field is a plus.