Consultant – Forecaster / Data Scientist (Retail)
SymphonyAI · Casablanca
Description du poste
About the role
SymphonyAI is seeking a Consultant – Forecaster / Data Scientist to support demand forecasting and replenishment for a UK‑based retail client. The role combines hands‑on technical work with direct customer interaction, aiming to improve forecast accuracy and optimise planning performance.
Key responsibilities
- Generate daily demand forecasts and ensure timely, accurate delivery of forecast outputs.
- Run, monitor and configure the DFAI module, maintaining parameters and business rules for optimal performance.
- Analyse forecast performance, identify root‑cause variances and recommend corrective actions.
- Review accuracy metrics, analyse large retail and supply‑chain datasets, and suggest model improvements.
- Automate processes and support model monitoring using Python.
- Manage code, deployments and workflows with Docker and GitHub.
- Provide technical support, troubleshoot issues and validate forecast results.
- Engage with customer stakeholders, present reports and dashboards, and document forecasting logic and updates.
Required profile
- Bachelor’s degree in Data Science, Statistics, Computer Science or a related field.
- Experience in demand planning, forecasting models and machine‑learning techniques.
- Strong analytical thinking and ability to translate data insights into actionable recommendations.
- Excellent communication skills for customer‑facing interactions.
Required skills
- Python
- Docker
- GitHub
- Machine learning
- Data analysis
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SymphonyAI
Casablanca