Senior Applied Scientist (Pricing)

TL;DR

Senior Applied Scientist (Pricing): Designing and evolving dynamic pricing systems for a bid-based marketplace with an accent on supply-demand balance and decision-making under uncertainty. Focus on developing real-time pricing algorithms, applying causal inference, and productionizing ML models to optimize marketplace dynamics.

Location: Remote (United Kingdom)

Company

Global tech company on a mission to challenge injustice through fair ride-hailing and delivery services across 48 countries.

What you will do

• Design and improve dynamic pricing policies, including elasticity and supply/demand response modeling.
• Frame pricing as a decision system under uncertainty and delayed feedback.
• Develop, test, and deploy real-time pricing algorithms.
• Design and analyze A/B experiments to evaluate the impact of pricing changes.
• Productionize models in collaboration with engineering to ensure scalability and robustness.
• Monitor system performance, stability, and long-term behavior.

Requirements

• 3+ years of experience in Data Science, Applied Research, or algorithmic product optimization, preferably in marketplaces or pricing.
• Strong background in statistics, optimization, and causal inference.
• Proven ability to transition from problem formulation to production-grade solutions.
• Proficiency in Python and SQL.
• Experience with production ML systems.
• Must be based in the United Kingdom

Nice to have

• Experience with economic modeling (elasticity, auctions, policy design).
• Familiarity with control systems, Reinforcement Learning (RL), or online optimization.
• Experience working with real-time, high-load systems.

Culture & Benefits

• Access to mentoring, career consulting, and specialized learning programs.
• International experience opportunities through the Global Talent Exchange Program.
• Co-financed language courses and internal speaking clubs.
• Engaging company-wide challenges, sports activities, and social impact projects.
• Collaborative environment that encourages initiative and open communication.

Hiring process

• Application review.
• Offer stage.
• Hiring.