Senior Data Scientist- Time Series Forecasting

Work Mode: Hybrid –3 days per week from office

Senior Data Scientist

Role Overview

We are looking for a highly skilled Senior Data Scientist with strong hands-on expertise in Forecasting and/or Price Elasticity/Pricing Analytics. The ideal candidate should have proven experience in developing and implementing advanced statistical and machine learning models, solving complex business problems, and delivering data-driven analytical solutions with measurable business impact.

The candidate will be responsible for executing end-to-end data science projects, translating business requirements into analytical solutions, and driving improvements in forecasting accuracy, revenue growth, and pricing optimization.

Key Responsibilities

• Design, develop, and implement end-to-end forecasting and pricing analytics solutions, from problem definition and data exploration to model deployment and monitoring.
• Develop statistical and machine learning models for demand forecasting, sales prediction, price elasticity, and pricing optimization.
• Apply advanced statistical techniques and predictive modelling to identify business trends, patterns, and actionable insights.
• Analyse large and complex datasets to support demand planning, revenue forecasting, and data-driven business decisions.
• Work closely with business stakeholders to understand requirements and translate them into effective analytical solutions.
• Evaluate model performance, improve prediction accuracy, and optimize existing forecasting and pricing models.
• Drive measurable business outcomes, including improved forecast accuracy, revenue growth, margin optimization, and operational efficiency.
• Ensure analytical solutions are scalable, reliable, and aligned with business objectives.

Required Skills & Qualifications

• Strong hands-on Data Science experience with mandatory expertise in Forecasting and/or Price Elasticity/Pricing Analytics.
• Proven experience delivering 2-3 relevant forecasting and/or pricing analytics projects.
• Strong expertise in statistical modelling, machine learning, predictive analytics, and quantitative problem-solving.
• Hands-on proficiency in Python, SQL, and relevant data science libraries.
• Experience with forecasting methodologies, regression techniques, time-series analysis, and predictive modelling.
• Understanding of price elasticity, price optimization, demand modelling, and revenue analytics.
• Ability to independently handle complex analytical problems and deliver end-to-end data science solutions.
• Strong analytical thinking, problem-solving, and communication skills.
• Ability to demonstrate direct technical contributions to projects and their measurable business impact.

Preferred Experience

• Experience in demand forecasting, demand planning, revenue management, price optimization, or commercial analytics.
• Experience delivering enterprise-scale data science solutions.
• Exposure to cloud-based analytics platforms and model deployment environments.
• Experience working with cross-functional teams across business, product, engineering, and analytics.
• Ability to convert complex analytical findings into actionable business recommendations.

Interested candidates can share the resume to [Confidential Information]

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