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- Tasks: Design dynamic pricing systems and develop real-time pricing algorithms.
- Company: Innovative analytics department in a leading marketplace.
- Benefits: Stable salary, remote work, flexible schedule, and professional development support.
- Other info: Access to diverse training programs and professional counselling services.
- Why this job: Shape the future of pricing with cutting-edge technology and impactful decision-making.
- Qualifications: 3+ years in Data Science or applied research, strong stats and Python skills.
The predicted salary is between 60000 - 80000 £ per year.
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
Senior Applied Scientist (Researcher) – Pricing employer: inDrive
Contact Detail:
inDrive Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Applied Scientist (Researcher) – Pricing
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Prepare for interviews by practising common questions related to pricing systems and data science. We recommend doing mock interviews with friends or using online platforms to get comfortable with your responses.
✨Tip Number 3
Showcase your skills through projects! Create a portfolio that highlights your experience with dynamic pricing models and algorithms. We love seeing real-world applications of your work, so make sure to share them during interviews.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always looking for passionate candidates who are ready to make an impact in the analytics department.
We think you need these skills to ace Senior Applied Scientist (Researcher) – Pricing
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Applied Scientist role. Highlight your experience in data science and algorithmic product optimisation, especially in marketplaces or pricing systems. We want to see how your skills align with our unique bid-based pricing model!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about dynamic pricing and how your background in statistics and optimization makes you a perfect fit for us. Don’t forget to mention any relevant projects you've worked on!
Showcase Your Technical Skills: We’re looking for someone proficient in Python and SQL, so make sure to highlight your technical skills clearly. If you’ve worked with production ML systems, let us know! We love seeing real-world applications of your expertise.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at inDrive
✨Know Your Pricing Models
Make sure you brush up on dynamic pricing systems and the unique bid-based model mentioned in the job description. Be ready to discuss how you would approach designing and improving these systems, as well as any relevant experience you have with elasticity and supply/demand response modelling.
✨Showcase Your Technical Skills
Since proficiency in Python and SQL is crucial for this role, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot or discuss past projects where you implemented production ML systems. Have examples ready that highlight your technical expertise.
✨Prepare for Problem-Solving Questions
Expect questions that assess your ability to frame pricing as a decision system under uncertainty. Think about how you would approach real-time pricing algorithms and A/B testing. Practise articulating your thought process clearly, as this will show your analytical skills and problem-solving capabilities.
✨Understand the Company’s Marketplace Dynamics
Research the company’s marketplace and its dynamics thoroughly. Be prepared to discuss how user behaviour and incentives play a role in pricing strategies. Showing that you understand the broader context of the role will demonstrate your genuine interest and help you stand out.