Marketing Modeling

Role Overview EXL is seeking a skilled Modeler in Bengaluru to contribute to the development and optimization of marketing analytics models. You will build propensity models, next-best-action engines, customer segmentation, and campaign response frameworks that power data-driven marketing decisions. This role involves managing the full model lifecycle from exploratory data analysis to model governance and bias testing. Key Responsibilities - Develop and optimize propensity, customer segmentation, and response models using machine learning - Conduct bias testing and implement model explainability frameworks using SHAP and LIME - Perform exploratory data analysis and feature engineering on large marketing datasets - Support the full model lifecycle including validation, performance monitoring, and re-validation - Collaborate with cross-functional marketing and data teams to translate business needs into technical designs - Monitor deployed models for data drift, performance degradation, and conduct champion-challenger tests Required Qualifications - Good experience in data science, marketing analytics, or quantitative modeling - Hands-on expertise building classification and regression models in Python - Proficiency in Python libraries such as scikit-learn, XGBoost, pandas, and numpy - Experience extracting and preparing data using SQL and large-scale data platforms - Strong understanding of model validation principles, governance, and documentation standards Why Join Us EXL is a leading global analytics and business consulting firm. Join our marketing data science team to solve complex customer analytics problems and work on advanced machine learning deployments.

- 3 to 12 years of experience in data science or quantitative marketing modeling - Master's or Bachelor's degree in Statistics, Mathematics, Computer Science, or a quantitative field - Solid command of Python programming and SQL database querying - Knowledge of model explainability concepts (SHAP, LIME) and bias mitigation - Excellent communication skills to present analytical findings to business partners

- Competitive salary and performance-based career progression - Exposure to advanced machine learning modeling and large-scale marketing platforms - Diverse, inclusive global work culture with continuous training and development programs