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- Tasks: Design dynamic pricing systems and develop real-time pricing algorithms.
- Company: Join a leading analytics department in a forward-thinking 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 innovative pricing strategies and make a real impact in a unique marketplace.
- Qualifications: 3+ years in Data Science or Applied Research with strong statistical 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 in London employer: inDrive
Contact Detail:
inDrive Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Applied Scientist (Researcher) – Pricing in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects related to pricing algorithms or data science. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for interviews by practising common questions and case studies relevant to dynamic pricing and marketplace dynamics. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨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 love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Applied Scientist (Researcher) – Pricing in London
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, applied research, and any relevant projects that showcase your skills in pricing systems and algorithmic product optimisation.
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 aligns with our unique bid-based pricing model. Be sure to mention any specific experiences that relate to the responsibilities listed in the job description.
Showcase Your Technical Skills: Don’t forget to highlight your proficiency in Python and SQL. If you’ve worked on production ML systems or have experience with economic modelling, make sure to include that too! We want to see how you can bring your technical expertise to our team.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people. Plus, it shows you’re serious about joining StudySmarter!
How to prepare for a job interview at inDrive
✨Know Your Pricing Models
Make sure you understand the unique bid-based pricing model mentioned in the job description. Brush up on dynamic pricing systems and be ready to discuss how you would approach designing and evolving these systems.
✨Showcase Your Technical Skills
Be prepared to demonstrate your proficiency in Python and SQL. You might be asked to solve a problem or explain how you've used these tools in past projects, so have some examples ready that highlight your experience with production ML systems.
✨Discuss Real-Time Systems
Since the role involves working with real-time, high-load systems, think of specific instances where you've dealt with similar challenges. Be ready to talk about how you monitored system performance and ensured stability in your previous roles.
✨Prepare for Methodological Questions
Expect questions around optimization, control systems, and reinforcement learning. Familiarise yourself with these concepts and be ready to discuss how they can be applied to pricing strategies, as well as any relevant experiences you have in these areas.