Senior Applied Scientist (Researcher) โ€“ Pricing

๐Ÿข inDrive ยท all inDrive jobs
๐Ÿ“ United Kingdom
๐Ÿ“… Posted 2026-08-10 ยท via Himalayas
๐Ÿท Applied-Scientist,Pricing-Scientist,Research-Scientist,Data-Science,Algorithmic-Pricing,Senior-Applied-Scientist,Senior-Research-Scientist,R&D-Pricing-Scientist,Applied-Research-Scientist,Senior-Scientist,Lead-Applied-Scientist,Principal-Applied-Scientist
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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.

Originally posted on Himalayas

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