Global Demand Expert & Data Scientist

TE Connectivity Ltd.; Bengaluru; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

TE Connectivity plc is seeking a senior AI/ML lead in Bengaluru to design and implement end-to-end AI and SAP IBP solutions for global demand forecasting. You will drive the technical roadmap, govern AI deployment, and oversee data integration, model deployment, and monitoring across demand analytics and planning processes.

The role requires 6+ years in ML/DL, strong Python and ML framework expertise, and hands-on SAP IBP for Demand.

Qualifications

• Master’s degree in CS/Data Science/ML or related field.
• 6+ years of experience in machine learning, AI, or applied ML.
• Hands-on knowledge of SAP IBP for Demand and data integration.
• Experience with LLMs, Generative AI, and model evaluation.

Responsibilities

• 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 and data integration.
• Provide technical leadership across demand analytics, AI modeling, and SAP IBP solution development.
• Establish governance, explainability, and reproducibility standards for AI adoption.

Skills

Python

ML/DL frameworks

Time-series modeling

Demand forecasting

LLMs / Generative AI

MLOps

Data pipelines

Education

Master’s degree in CS/Data Science/ML

Tools

SAP IBP

TensorFlow

PyTorch

Scikit-learn

Cloud platforms

Job description

At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world.

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

About Te Connectivity

TE Connectivity plc (NYSE: TEL) is a global industrial technology leader creating a safer, sustainable, productive, and connected future. As a trusted innovation partner, our broad range of connectivity and sensor solutions enable the distribution of power, signal and data to advance next-generation transportation, energy networks, automated factories, data centers enabling artificial intelligence, and more.