Data Scientist / Pricing Analyst - Personalised Pricing
ConfidentialBengaluru / Bangalore30+ days ago
Job description3-6 years of experience in data science, pricing, or quantitative strategy roles. Strong programming skills in Python and SQL; experience with libraries like scikit-learn, stats models, or XGBoost. Deep knowledge of pricing analytics, revenue management, and behavioral economics. Experience in building predictive models for conversion, elasticity, or revenue uplift. Ability to synthesize complex data into actionable strategies with business impact. Strong experimentation mindset with familiarity in causal inference and A / B testing methodologies.
Key Responsibilities
- Develop and deploy personalised pricing models using historical behaviour, purchase intent, segmentation, and contextual data.
- Apply advanced statistical and machine learning techniques to estimate demand curves and user-level price sensitivity.
- Design and execute pricing A / B tests, analyzing lift, revenue impact, and user experience trade-offs.
- Develop dynamic pricing frameworks that adjust in real-time based on inputs such as location, time, inventory, and user cohorts.
- Collaborate with engineering teams to integrate models into pricing engines and user-facing platforms.
- Communicate findings clearly to business stakeholders and make data-backed pricing recommendations.
Must-Have Qualifications
Skills Required
Sql, Python, Revenue Management
Create a job alert for this search
Pricing Analyst • Bengaluru / Bangalore