Data Scientist Consultant Retail Supply Chain (India)

Introduction: Job Title: Data Scientist Consultant

: SymphonyAI is a leading enterprise AI solutions provider dedicated to helping retailers and manufacturers optimize business operations through advanced analytics, planning, and automation solutions. Our products support global organizations in enhancing supply chain efficiency, inventory performance, forecasting accuracy, and customer satisfaction. We are committed to delivering measurable outcomes for our clients through innovative technology, deep domain expertise, and strong customer partnerships.We are seeking a Consultant Forecaster / Data Scientist to support demand forecasting and replenishment activities for retail customers. This customer-facing role focuses on ongoing production support for a UK-based retailer. The ideal candidate will possess experience in demand planning, forecasting models, machine learning, and data analysis, along with the ability to work closely with customers to improve forecast accuracy and optimize planning performance. This position requires strong analytical thinking, hands-on technical capability, and the ability to identify trends, troubleshoot issues, and recommend continuous improvements to forecasting processes.

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: Forecasting & Planning Support: - Provide daily demand forecasts to customers and ensure forecast outputs are delivered accurately and on time. - Run and monitor the DFAI module to support forecasting and replenishment activities. - Maintain forecasting configurations, parameters, and business rules to ensure optimal system performance. - Analyze forecast performance, identify root causes for variances, and recommend corrective actions. Data Analysis & Model Performance: - Review forecast accuracy metrics and identify opportunities to improve model performance. - Analyze large volumes of retail and supply chain data to identify patterns, trends, and business insights. - Work with internal teams and customer stakeholders to improve forecast quality and replenishment effectiveness. - Support continuous improvement initiatives by recommending enhancements to forecasting approaches, parameters, and processes. Technical Support & Automation: - Use Python and related tools to automate processes, perform data analysis, and support model monitoring activities. - Work with Docker, GitHub, and related development tools to manage code, deployments, and workflows. - Support issue resolution, troubleshooting, and validation of forecast outputs. - Collaborate with engineering and product teams to address system issues and implement improvements. Customer Engagement & Reporting: - Engage directly with customer stakeholders to review forecast results, discuss performance, and address concerns. - Prepare reports, dashboards, and summaries related to forecast accuracy and business performance. - Support regular customer meetings and provide recommendations for process optimization. - Maintain explicit documentation of forecasting logic, model assumptions, and process updates.