Data Scientist/Senior Data Scientist

About the job

As a Data Scientist/Senior Data Scientist – Price Optimization, Demand Modelling & Forecasting, you will play a critical role in developing and deploying advanced machine learning models for price optimization, cannibalization impact analysis, and demand forecasting. In addition to your technical expertise, you'll be a key point of contact for client management—leading client-facing projects and delivering actionable insights to address complex business problems. You will collaborate closely with cross-functional teams, translating business requirements into scalable data solutions while ensuring alignment with client objectives. You’ll also mentor and guide junior data scientists, fostering a collaborative and innovative environment to ensure continuous learning and growth. Role and Responsibilities: Model Development: Design, implement, and scale machine learning solutions for price elasticity, price and promotion optimization, cannibalization effects, and demand modelling/forecasting across FMCG and Retail sectors. Develop and validate models that quantify cross-product impacts and substitution effects to optimize overall category performance. Hand-On Data Science: Lead end-to-end model development using PySpark, Databricks, and other distributed computing environments for efficient large-scale data processing and model training. Write modular, scalable code for model development using libraries such as pulp, cvxpy, Temporal Fusion Transformers, XGBoost, and time series modelling libraries. Collaborative Problem Solving: Work closely with cross-functional teams to identify business challenges, define data-driven solutions, and implement dynamic pricing, cannibalization, and forecasting tools. Client Management: Serve as the primary data science lead for client interactions—managing expectations, providing technical expertise, and presenting actionable, data-driven insights. Ensure timely project delivery, alignment with business goals, and sustained client satisfaction. Innovation: Continuously explore and test innovative approaches in price elasticity modelling, cross-product cannibalization analysis, and demand forecasting. Drive innovation to improve existing pricing and forecasting frameworks for better commercial outcomes in the FMCG/Retail sector. Mentorship: Provide guidance and mentorship to junior data scientists, encouraging best practices in model design, coding, and documentation.

Requirements

• Data Science
• Price Optimization
• Demand Modelling
• Forecasting

Qualifications

• Master’s or Ph.D. in Computer Science, Data Science, Statistics, Operations Research, or related field.

Preferred Technologies

• Data Science
• Price Optimization
• Demand Modelling
• Forecasting