Data Scientist/ Pricing Analyst - Personalised Pricing

Data Scientist/ Pricing Analyst - Personalised PricingAbout the Role
We are seeking a Data Scientist or Pricing Analyst to lead our Personalised Pricing initiatives - designing and scaling pricing strategies tailored to individual user behaviour, preferences, and demand elasticity.This role involves developing intelligent pricing models that adapt to real-time signals and customer context, to maximise revenue while enhancing user satisfaction. Youll work cross-functionally with product, engineering, and marketing teams to experiment, validate, and operationalise personalised pricing mechanisms.Key ResponsibilitiesDevelop 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 Qualifications3-6 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.