Data Scientist Consultant

• 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.

• 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.

• 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.

• 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 clear documentation of forecasting logic, model assumptions, and process updates.

• Bachelor’s degree in Data Science, Statistics, Mathematics, Engineering, Supply Chain, Computer Science, or a related field.

• 3–6 years of experience in demand forecasting, data science, supply chain analytics, or retail planning.

• Strong understanding of demand planning, replenishment, and forecast accuracy measurement.

• Hands-on experience with Python, Pandas, and data analysis techniques.

• Experience with Docker, GitHub, and model deployment or support processes.

• Strong analytical, problem-solving, and troubleshooting skills.

• Ability to work in a customer-facing environment and collaborate effectively with multiple stakeholders.

• Strong communication and presentation skills.

• Experience working with machine learning models and forecasting algorithms.

• Familiarity with Polars and other modern data processing frameworks.

• Exposure to retail demand forecasting and replenishment systems.

• Experience supporting UK-based retail customers or working in managed services environments.

• Knowledge of supply chain planning concepts and inventory optimization.

• Competitive salary and benefits package.

• Opportunity to work on high-impact retail forecasting and supply chain programs.

• Exposure to leading global retailers and advanced AI-driven planning solutions.

• A collaborative and fast-paced work environment.

• Learning and growth opportunities across retail, supply chain, and data science domains.

SymphonyAI