Senior Applied Scientist (Researcher) – Pricing

inDrive
London
Workplace: RemoteFull timeFunction: Research & Scientific (R&D)Experience: 3+ yearsSkills: ["Collaboration","Communication","Problem-solving"]

Design and evolve dynamic pricing systems for the marketplace, treating pricing as a feedback-driven decision system under uncertainty and delayed signals. Build models that balance supply, demand, and business outcomes, including user behavior, incentives, and marketplace dynamics. Develop, test, and deploy real-time pricing algorithms, productionize solutions with engineering, and monitor performance, stability, feedback effects, and long-term behavior.

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inDrive
inDrive
16 hours ago

Senior Applied Scientist (Researcher) – Pricing

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Last checked: 16 hours agoStatus: Live

Job Summary

Design and evolve dynamic pricing systems for the marketplace, treating pricing as a feedback-driven decision system under uncertainty and delayed signals. Build models that balance supply, demand, and business outcomes, including user behavior, incentives, and marketplace dynamics. Develop, test, and deploy real-time pricing algorithms, productionize solutions with engineering, and monitor performance, stability, feedback effects, and long-term behavior.
Location: London
Workplace: Remote
Employment Type: Full time
Job Function: Research & Scientific (R&D)
Seniority: Mid level

Key Responsibilities

  • •Design and evolve dynamic pricing systems for the marketplace.
  • •Develop pricing as a feedback-driven decision system balancing supply, demand, and business outcomes under uncertainty and delayed signals.
  • •Model user behavior, incentives, and marketplace dynamics, including bid-based pricing interactions.
  • •Develop, test, and deploy real-time pricing algorithms, collaborating to productionize models with engineering.
  • •Monitor system performance (stability, feedback effects, and long-term behavior) and contribute to methodological choices.

Pay and Benefits

Perks:Learning Budget

Key Requirements

  • •3+ years of experience in Data Science, Applied Research, or algorithmic product optimization, preferably in marketplaces or pricing systems.
  • •Strong background in statistics, optimization, and causal inference.
  • •Ability to move from problem formulation to production-grade solutions.
  • •Proficiency in Python and SQL, with experience in production ML systems.
  • •Experience designing dynamic pricing policies and running A/B experiments to evaluate pricing impact (nice to have).
Experience:3+ years
Skills:CollaborationCommunicationProblem-solving
Tech Stack:PythonSQL

Company Brief

inDrive
A ride-hailing and mobility platform that lets passengers and drivers negotiate fares directly in real time. It also offers intercity travel, courier, and delivery services in multiple countries.
Industry: Mobility Platforms
Company Size: Enterprise (1,001+ employees)
Growth: Scaleup
Headquarters: Mountain View, United States
Founded: 2013
WebsiteLinkedIn