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# Data Scientist, Pricing

- **Company:** Arrive
- **Location:** London, United Kingdom
- **Experience:** Experienced
- **Salary:** £50,865
- **Contract:** Permanent contract
- **Skills:** A/B Testing, Machine Learning, SQL Databases, Build Management, Performance Monitor
- **Published:** November 12, 2026
- **Apply:** https://www.adzuna.co.uk/jobs/details/5962888970

## About the Role

* Experience: 2-3 years of experience in data science, pricing, commercial analytics, revenue management, or a similar quantitative role.
 * Technical Skills: Strong proficiency in SQL and Python for data analysis, manipulation, and modeling.
 * Analytical Methodology: Familiarity with quasi-experimental design and causal inference techniques (e.g., Difference in Differences) to evaluate business impact outside of standard A/B testing.
 * Education: Degree in Data Science, Statistics, Economics, Mathematics, Operations Research, or related field.
 * Business Acumen: Understanding of pricing strategies, revenue optimization, and price elasticity.
 * Soft Skills: Strong communication skills, ability to explain technical concepts to non-technical stakeholders, and a passion for turning data into actionable insights.
 * Independence: Comfortable operating independently and taking ownership within a small, focused team.

## Description

As a Data Scientist in the Pricing team, you'll report directly to the Head of Pricing. Thanks to our newly enhanced pricing infrastructure and rich pricing history, we are moving towards a highly data-driven approach to revenue generation. You will take the lead in building the predictive data models that recommend tariff changes, influence strategy, and strengthen profitability.

This is a hands-on role where your modelling expertise will have a direct commercial impact - taking our pricing capabilities to the next level through advanced analytics and machine learning.

How You'll Make an Impact / Key Responsibilities

 * Predictive Modeling & Tariff Recommendations: Leverage our pricing history and infrastructure to build data models that predict outcomes and automatically recommend tariff changes.
 * Dynamic Pricing Optimization: Improve and refine our dynamic pricing models, specifically focusing on optimizing tariffs and building algorithms to find over and underperforming and recommending an appropriate action.
 * Elasticity & Forecasting: Study price elasticity across different regions and assets, generating better forecasts of price changes to maximize revenue and utilization.
 * Model Development: Build and deploy statistical models and machine learning algorithms to optimize pricing decisions.
 * Experimentation & Causal Inference: Design and evaluate pricing A/B tests and other controlled experiments to measure impact on revenue and profitability. Help measure the true impact of price changes in complex scenarios where perfect A/B testing is not possible.
 * Cross-Functional Collaboration: Work closely with Product, Marketing, Finance, and Sales/Account Management teams to translate analytical insights into actionable pricing recommendations.
 * Continuous Improvement: Stay up-to-date with the latest tools, techniques, and trends in pricing science, machine learning, and econometrics., * Successful deployment of data models that accurately forecast demand, study price elasticity, and recommend optimal tariff changes.
 * Revenue and profit growth driven by optimized pricing strategies.
 * Working with Tech team to productionise and build pricing models.
 * Design, implement and monitor Pricing Experiments.
 * Clear, actionable insights delivered to leadership and commercial teams.
 * Well-documented pricing models and relevant KPI tracking.