About the job:

SymphonyAI is a leading enterprise AI solutions provider dedicated to helping retailers and manufacturers optimize business operations through advanced analytics, planning, and automation solutions. We are seeking a Consultant - Forecaster / Data Scientist to support demand forecasting and replenishment activities for retail customers.

Key Responsibilities:

- 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.

Qualifications:

- Bachelors 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.

Preferred Qualifications:

- 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.