Data Scientist - Forecasting

About the role

Growth through diversity, equity, and inclusion. As an ethical business, we do what is right — including ensuring equal opportunities and fostering a safe, respectful workplace for each of us.

What you'll do

• Work on end‑to‑end classification and forecasting use cases: problem framing, data preparation, model development
• Explore and clean data; perform EDA to understand data and flag data quality issues
• Engineer features for tabular and time‑series data
• Train, validate, and tune standard ML models (e.g. logistic regression, tree‑based models, gradient boosting, simple neural nets, classical time‑series models)
• Evaluate models with appropriate metrics that have impact on business KPIs

What you need

• Forecasting
• Machine learning
• Python
• SQL
• Deep learning
• MLOps

Good to have

• R
• Scala
• Databricks
• GCP
• Azure
• Demand planning