**Must be able to start immediately
Our client is looking for a Data Scientist with experience in AI-based pricing, revenue management, and commercial pricing models. You’ll develop and optimize data-driven pricing strategies to drive revenue and profitability.
Key Responsibilities:
- Build and refine machine learning models for dynamic pricing and revenue optimization.
- Analyze sales, demand, and market data to inform pricing decisions.
- Forecast demand and model price elasticity.
- Collaborate with cross-functional teams to implement pricing strategies.
- Present insights and recommendations to stakeholders.
Requirements:
- Experience in data science, with pricing or revenue management focus.
- Proficiency in Python or R; experience with ML frameworks (e.g., scikit-learn, XGBoost).
- Strong understanding of statistical modeling and forecasting.
- Experience with large datasets and cloud platforms is a plus.
- Excellent analytical and communication skills.