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Senior Applied Scientist; Researcher – Pricing Fully remote Technology United Kingdom

Remote / Online - Candidates ideally in
Cardiff, Cardiff City Area, CF10, Wales, UK
Listing for: InDrive Group
Full Time, Remote/Work from Home position
Listed on 2026-05-27
Job specializations:
  • IT/Tech
    Data Scientist, Data Analyst, Machine Learning/ ML Engineer
Job Description & How to Apply Below
Position: Senior Applied Scientist (Researcher) – Pricing Fully remote - Full Time - Technology United Kingdom

Senior Applied Scientist (Researcher) – Pricing

Department: Analytics Department

Employment Type: Full Time

Location: United Kingdom

Description

We are looking for a Senior Applied Scientist (Pricing) to design and evolve dynamic pricing systems for our marketplace. You will develop pricing as a feedback-driven decision system, balancing supply, demand, and business outcomes under uncertainty and delayed signals. Unlike traditional surge-based pricing, our marketplace operates on a unique bid-based pricing model, where prices are shaped through direct negotiation between riders and drivers.

This creates a fundamentally different optimization problem, requiring advanced approaches to modeling user behavior, incentives, and marketplace dynamics.

Key Responsibilities
  • 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 pricing impact
  • Productionize models in collaboration with engineering, ensuring scalability and robustness
  • Monitor system performance, including stability, feedback effects, and long-term behavior
  • Contribute to methodological choices (e.g., optimization, control, RL-inspired approaches)
Skills, Knowledge and Expertise
  • 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
  • Proven ability to move from problem formulation to production-grade solutions
  • Proficiency in Python, SQL, and experience with production ML systems
Nice to Have
  • Experience with economic modeling (elasticity, auctions, policy design)
  • Familiarity with control systems, RL, or online optimization
  • Experience working with real-time, high-load systems
Conditions
  • Stable salary, official employment
  • Remote work mode and flexible schedule
  • Access to professional counseling services, including psychological, financial, and legal support
  • Diverse internal training programs
  • Partially or fully paid additional training courses
  • All necessary work equipment
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Position Requirements
10+ Years work experience
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