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Himalayas · Partner listing

Senior Applied Scientist (Researcher) – Pricing

inDrive

⌖ United KingdomSalary not providedRemoteNot specified · Full-time

Source: Himalayas ↗

Location & working arrangement

Working arrangement is supplied by the provider. Check the original advert for attendance and travel requirements.

Provider location / applicant eligibility: United Kingdom

About the role

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

Skills mentioned in the listing

Control systemsPythonSQLData science

Recognised skills are extracted from the supplied description using canonical names and aliases. They are mentions, not verified essential requirements. Check the source advert for the employer’s full requirements and location restrictions.

Why these skills appear

Control systems · mentioned
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 injus

Python · desirable
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 desi

SQL · desirable
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) Fam

Data science · requirement-context
ired 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 sta