Our partner is looking for a Data Scientist based in India. The Data Scientist will strengthen data science capabilities across a global Integrated Supply Chain, with a primary focus on Quality and Food Safety analytics and manufacturing optimization. In this role, you will develop and deploy advanced AI, machine learning, NLP, Generative AI, computer vision, and predictive analytics solutions. You will transform complex operational data into actionable intelligence that improves product quality, food safety, manufacturing performance, and supply chain resilience. Working closely with cross-functional teams, you will support initiatives ranging from quality risk prediction and audit readiness to predictive maintenance and process optimization. You will also contribute to scalable cloud-based data architectures and production-ready analytics solutions. This is an chance to apply advanced data science to real-world industrial challenges while delivering measurable business and operational impact. Accountabilities In this role, you will design, develop, and operationalize data science solutions that improve quality, food safety, manufacturing efficiency, and supply chain performance. Develop predictive models for product quality outcomes, critical quality parameters, supplier risks, defect probabilities, non-conformance risks, process deviations, and first-pass yield across multiple product categories. - Build audit-score prediction models to anticipate audit outcomes, identify potential findings, assess site-level quality risks, and prioritize preventive actions. - Apply NLP, clustering, causal analysis, and machine learning to classify non-conformances, identify recurring root causes, predict recurrence,



and evaluate corrective and preventive action (CAPA) effectiveness. - Develop analytics for food safety hazards, hygienic zoning, pathogen monitoring, environmental monitoring, sanitation, allergen control, and cross-contamination risks. - Create calibration and measurement-system analytics to identify overdue calibration risks, instrument drift, measurement uncertainty, and compliance gaps. - Use NLP and Generative AI to extract insights from audit reports, CAPA narratives, consumer complaints, standard operating procedures, food safety plans, maintenance logs, and supplier communications. - Build end-to-end quality analytics connecting supplier performance, incoming material risks, and customer quality outcomes. - Develop dashboards, risk scorecards, alerts, and self-service analytics for Quality, Food Safety, Manufacturing, and Supply Chain stakeholders. - Build Industrial Internet of Things (IIoT)-enabled analytics using data from PLCs, SCADA systems, historians, MES platforms, sensors, edge devices, vision systems, LIMS, and quality management platforms. - Develop predictive maintenance models covering equipment failures, asset health, remaining useful life, anomaly detection, and maintenance prioritization. - Apply statistical process control, process capability analysis (CpK/PpK), design of experiments, and structured root-cause methodologies such as 8D, 5-Why, and FMEA. - Develop optimization and simulation models for production scheduling, line balancing, capacity planning, material flows, quality resource allocation, sanitation scheduling, and calibration planning. - Support the deployment and industrialization of data science models across cloud, edge, and on-premise environments, ensuring monitoring, retraining, governance, and auditability.

📌 Data Scientist (AI/ML) (India)
🏢 Jobgether
📍 India