Himalayas · Partner listingSenior Applied Scientist (Researcher) – Pricing
inDrive
⌖ United KingdomSalary not providedRemoteNot specified · Full-time
Source: Himalayas ↗
Location & working arrangementWorking 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