Required Experience and Skills:

Key Analytical Focus Areas

o Customer segmentation and clustering using demographic, behavioural, and transactional data o Marketing Mix Modeling (MMM) and campaign analytics to assess marketing effectiveness and ROI o Price and profit optimization models across products and segments o Conjoint analysis and product affinity modeling for innovation and customer preference alignment o Demand forecasting, dynamic pricing, and elasticity modeling

Expertise in Advanced ML & Statistical Methodologies:

o Experience with techniques such as Random Forest, XGBoost, SVM, Gradient Boosting, Time Series Forecasting, Logistic Regression, K-Means Clustering, Hierarchical Clustering, Lasso/Ridge Regression, PCA, Survival Models, and Ensemble Methods o Familiarity with deep learning models for NLP, image analysis, and unstructured data processing

AI Engineering & Emerging Platforms:





o Exposure to AI engineering principles for scalable model deployment using CI/CD and MLOps pipelines o Hands-on experience or understanding of agentic platforms, LLM-based orchestration, or intelligent agent frameworks for task automation and knowledge management o Working knowledge of integrating ML solutions into production environments and performance optimization

Mandatory Tools Experience

o Microsoft Office: Proficient in Microsoft Excel for advanced data analysis and financial modeling, and Microsoft PowerPoint for creating impactful presentations and visualizing data insights o Python/R: Proficiency in Python or R for data manipulation, statistical analysis, and machine learning o SQL: Solid command over SQL for data querying and management o Tableau/Power BI: Experience in data visualization using Tableau or Power BI to communicate insights effectively

Job Location: Hyderabad, Bengaluru, Pune, Chennai

Fulltime MBA/Masters in Statistics, Data Science is mandatory (2024 and below pass outs only)

📌 Data Science (Bengaluru)
🏢 Deloitte US-India Offices
📍 Bengaluru