Data Scientist, Pricing

Arrive; Greater London; Hybrid; GBP 60,000 - 90,000; Full time

Job summary

Arrive is seeking a Data Scientist in the Pricing team to report to the Head of Pricing. With enhanced pricing infrastructure and rich history, you will lead the development of predictive models that recommend tariff changes, influence pricing strategy, and strengthen profitability.

This hands-on role drives commercial impact by advancing pricing analytics and machine learning capabilities, deploying models, and collaborating with Product, Marketing, Finance, and Sales to turn insights into

Qualifications

• 2–3 years of experience in data science, pricing, commercial analytics, revenue management, or a similar quantitative role.
• Strong proficiency in SQL and Python for data analysis, manipulation, and modeling.
• Familiarity with quasi-experimental design and causal inference techniques (e.g., Difference in Differences).
• Degree in Data Science, Statistics, Economics, Mathematics, Operations Research, or related field.
• Understanding of pricing strategies, revenue optimization, and price elasticity.
• Strong communication skills and ability to explain technical concepts to non-technical stakeholders.
• Independent and proactive in a small, focused team.

Responsibilities

• Predictive Modeling & Tariff Recommendations: build models to predict outcomes and automatically recommend tariff changes.
• Dynamic Pricing Optimization: refine pricing models to optimize tariffs and detect over/underperformance.
• Elasticity & Forecasting: study price elasticity across regions to maximize revenue.
• Model Development: deploy statistical models and ML algorithms for pricing decisions.
• Experimentation & Causal Inference: design and evaluate pricing experiments to measure impact.
• Cross-Functional Collaboration: work with Product, Marketing, Finance, and Sales to translate insights.
• Continuous Improvement: stay updated with pricing science and ML trends.

Skills

SQL

Python

Causal inference

Pricing analytics

Education

Degree in Data Science, Statistics, Economics, Mathematics, Operations Research

Job description

We’ve signed up to an ambitious journey. Join us!

As Arrive, we guide customers and communities towards brighter futures and more livable cities, it isn’t a challenge just anyone could take on. Luckily, we have something to help us make it happen. Our people and our values. We Arrive Curious, Focused and Together. Just as our entire brand is inspired by the North Star, the shining light leading travelers to their destinations since time began, our values guide us. They help us be at our best. For our customers. For the cities and communities we serve. For ourselves. As a global team, we are transforming urban mobility. Let’s grow better, together.

YourParkingSpace joined forces with Arrive, on our joint mission to make cities more livable, together. YourParkingSpace is the UK’s fastest-growing parking technology provider, and we’re changing the way people park. Our on-demand marketplace connects drivers to thousands of spaces, while our comprehensive suite of B2B solutions transforms parking assets into connected mobility hubs.

About the Role

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.

Technical Skills & Qualifications

• 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.

What Success Looks Like

• 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.

About Arrive

Arrive, including brands like EasyPark, Flowbird, RingGo, ParkMobile and Parkopedia, is a leading global mobility platform. Present in over 90 countries and 20,000 cities, the company helps people and decision-makers make smarter decisions about urban mobility and ease the experience of travel worldwide. Arrive delivers a unique combination of the core ingredients to make cities more livable: from smart payments and optimized car parks to data-driven traffic reduction and support for reinvestment in public transport and green space. It’s about more than function, it’s about saving time and simplifying the experience of travel for everyone. Travel is more than a journey, it’s how you Arrive.