Bangalore Global Demand Expert & Data Scientist Ka 560076

Job description

Job Overview

Define the technical roadmap for Global Demand Management AI initiatives and SAP IBP capabilities. Architect end-to-end AI and SAP IBP solutions supporting demand forecasting, data integration, model deployment, and monitoring. Provide technical leadership across demand analytics, AI modeling, experimentation, and SAP IBP solution development. Establish standards for AI and SAP IBP governance, explainability, reproducibility, documentation, and sustainable adoption.

Design and deploy machine learning models for demand forecasting, segmentation, anomaly detection, and predictive insights within SAP IBP. Apply feature engineering, model optimization, and MLOps practices to deliver scalable AI solutions supporting Global Demand Management and SAP IBP. Evaluate model performance and business impact to improve forecast accuracy, exception management, and demand-planning decisions.

SAP IBP integration

Connect AI solutions with SAP IBP data, workflows, analytics, and planning processes.

Demand-specific use cases

Forecast explanations, exception prioritization, demand-driver analysis, scenario recommendations, and planner support.

Human-in-the-loop controls

Position AI as decision support rather than fully autonomous decision-making.

Time-series expertise

Retain transformers, RNNs/LSTMs, embeddings, and transfer learning only where relevant to forecasting and demand patterns.

Responsible AI

Include explainability, validation, security, governance, and monitoring.

Adoption and value

Measure improvement in forecast accuracy, planner productivity, exception resolution, and decision quality.

What your background should look like

Master’s in Computer Science, Data Science, Machine Learning, Statistics, or related field. 6+ years of experience in machine learning, deep learning, natural language processing, or applied Strong proficiency in Python, ML/DL frameworks (TensorFlow, PyTorch, Scikit-learn), and data pipelines. Hands-on knowledge of SAP IBP for Demand, planning data, forecasting processes, analytics, and workflow integration. Strong understanding of demand forecasting, time-series modeling, segmentation, forecast accuracy, bias, exceptions, and scenario analysis.

Experience with LLMs, Generative AI, Agentic AI, vector databases, RAG pipelines, and model evaluation and fine-tuning. Experience with transformers, RNNs/LSTMs, embeddings, transfer learning, and predictive modeling for demand and time-series use cases. Familiarity with MLOps, cloud platforms, and big-data ecosystems, including model deployment, monitoring, governance, and security. Ability to translate demand-management requirements into scalable AI and SAP IBP solutions and drive stakeholder alignment, adoption, and measurable business value.

Competencies

Values: Integrity, Accountability, Inclusion, Innovation, Teamwork