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inDrive

Senior Applied Scientist (Researcher) – Pricing

Posted Yesterday
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Remote
Hiring Remotely in United Kingdom
Senior level
Remote
Hiring Remotely in United Kingdom
Senior level
Design and deploy dynamic, feedback-driven pricing systems for a bid-based marketplace. Model elasticity, supply/demand responses, and long-term feedback; develop real-time pricing algorithms; run and analyze A/B experiments; productionize scalable models with engineering; monitor system stability and contribute to methodological choices including optimization and RL-inspired approaches.
The summary above was generated by AI
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

Why join us
  • Help us challenge injustice by creating fair choices for millions of people across 1100+ cities in 48 countries
  • Develop your professional skills with access to mentoring, career consulting, and learning programs
  • Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program
  • Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects
  • Work alongside people who take initiative, speak openly, and challenge themselves to grow
  • Improve your language skills through co-financed courses and internal speaking clubs
Final benefits may vary depending on the location.


About
inDrive is a global tech company on a mission to challenge injustice through fair choices. We started in 2012 in the coldest city on Earth, when a group of friends created a way for people to agree on fair ride prices. That idea grew into one of the world’s top ride-hailing apps, now with 400M installs across 48 countries.Today, we offer more than rides: from freight and delivery to intercity travel and financial services, all designed to put people first. We are committed to having a positive impact on people’s lives both through our core business, which supports local communities via a fair pricing model; and through the work of our impact programs. Ready to ignite your inner drive?

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